{"id":21001,"date":"2021-12-07T16:25:50","date_gmt":"2021-12-07T16:25:50","guid":{"rendered":"https:\/\/assignmenttutors.net\/blog\/nsg-322-biostatistics-week-2-week-3\/"},"modified":"2021-12-07T16:25:50","modified_gmt":"2021-12-07T16:25:50","slug":"nsg-322-biostatistics-week-2-week-3","status":"publish","type":"post","link":"https:\/\/assignmenttutors.net\/blog\/nsg-322-biostatistics-week-2-week-3\/","title":{"rendered":"Nsg 322 biostatistics week 2 – week 3"},"content":{"rendered":"
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14 + 8 Answers and calculations as basic statistics student would explain put into both an MS Excel spreadsheet and copied into MS Word doc format. Due by 7pm 2\/2\/14.\u00a0<\/span><\/strong><\/p>\n

\u00a0<\/span><\/strong><\/p>\n

Week 2 Assignment<\/span><\/strong><\/p>\n

    \n
  1. A. What is the probability of rolling a four in the gambling dice game of craps (given two six sided dice)?\u00a0\u00a0<\/span><\/span>\u00a0<\/span><\/span><\/li>\n<\/ol>\n

    B. What is the probability that a player can roll a four 3 times in a row (assume that rolling the dice each time does not affect the outcome of the next roll)?<\/span><\/p>\n

    \u00a0<\/span><\/p>\n

      \n
    1. Population A and Population B both have a mean height of 70.0 inches with an SD of 6.0.\u00a0 A random sample of 30 people is picked from population A, and random sample of 50 people is selected from Population B.\u00a0 Which sample mean will probably yield a more accurate estimate of its population mean?\u00a0 Why?<\/span><\/li>\n<\/ol>\n

      \u00a0<\/span><\/p>\n

      3.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Suppose we obtained data on vein size after application of a nitroglycerin ointment in a sample of 50 patients.\u00a0 The mean vein size is found to be 7.8mm with an SD of 2.1.\u00a0 Using a\u00a0<\/span>t<\/em>distribution table, what are the confidence limits for a 95% confidence interval?\u00a0 For a 99% confidence interval?<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      4.\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 In a pilot study evaluating the use of a new drug to lower resting heart rates (HR) of patients, the following data was recorded:<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
      \n

      Subject #<\/span><\/span><\/strong><\/p>\n<\/td>\n

      		\n

      Resting HR<\/span><\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

      \n

      001<\/span><\/p>\n<\/td>\n

      		\n

      72<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      002<\/span><\/p>\n<\/td>\n

      		\n

      88<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      003<\/span><\/p>\n<\/td>\n

      		\n

      71<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      004<\/span><\/p>\n<\/td>\n

      		\n

      87<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      005<\/span><\/p>\n<\/td>\n

      		\n

      64<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      006<\/span><\/p>\n<\/td>\n

      		\n

      77<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      007<\/span><\/p>\n<\/td>\n

      		\n

      79<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      008<\/span><\/p>\n<\/td>\n

      		\n

      59<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      009<\/span><\/p>\n<\/td>\n

      		\n

      66<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      010<\/span><\/p>\n<\/td>\n

      		\n

      68<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      011<\/span><\/p>\n<\/td>\n

      		\n

      78<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      012<\/span><\/p>\n<\/td>\n

      		\n

      89<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      013<\/span><\/p>\n<\/td>\n

      		\n

      91<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      014<\/span><\/p>\n<\/td>\n

      		\n

      81<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      015<\/span><\/p>\n<\/td>\n

      		\n

      77<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      016<\/span><\/p>\n<\/td>\n

      		\n

      75<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n

      \n

      017<\/span><\/p>\n<\/td>\n

      		\n

      69<\/span><\/p>\n<\/td>\n

      		\n

      \u00a0<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u00a0<\/span><\/p>\n

      Given that the average resting HR of the general population for this study is 72, use StatCrunch to perform the appropriate\u00a0<\/span>t<\/em>\u00a0<\/span>test.\u00a0 What is the value of\u00a0<\/span>t<\/em>?\u00a0 Using an alpha of 0.05, is the\u00a0<\/span>t<\/em>statistic significant?\u00a0 Why?\u00a0 What are the confidence limits for a 95% confidence interval here and what do they mean for this patient group?\u00a0 Copy and Paste your work from StatCrunch into your Word document submission.<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      5.\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Write one or two sentences that could be used to report the results obtained for the t-test in Exercise 4.<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      6.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 For which of the following situations is the\u00a0<\/span>independent<\/strong>\u00a0<\/span>groups t-test appropriate (if inappropriate, why?):<\/span><\/p>\n

      a.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The independent variable is infant birth weight at one week (normal vs high); the dependent variable is resting heart rate.<\/span><\/p>\n

      b.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The independent variable is radiation treatment on throat cancer patients (after a low dose and then a high dose treatment); the dependent variable is white blood cell count.<\/span><\/p>\n

      c.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The IV is infant birth weight (low vs normal birth weight); the DV is number of days absent from school in first grade.<\/span><\/p>\n

      d.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The IV is gender (male vs female); the DV is compliance vs noncompliance with a medication regimen.<\/span><\/p>\n

      e.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The independent variable is married status (single vs divorced vs married); the dependent variable is happiness measured on a scale from 1 to 50<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      7.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 For which of the following situations is the\u00a0<\/span>dependent<\/strong>\u00a0<\/span>groups t-test appropriate (if not appropriate, why?)<\/span><\/p>\n

      a.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The IV is presence or absence of conversation directed to comatose patients (same patients with and without conversation); the DV is the patients\u2019 intracranial pressure.<\/span><\/p>\n

      b.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The IV is birth type (home vs hospital); the DV is perceived functional ability of the patient 48 hours after surgery.<\/span><\/p>\n

      c.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The IV is time since incarceration (1 months vs 3 months vs 6 months); the DV is body weight.<\/span><\/p>\n

      d.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The IV is menopausal state (pre vs post); the DV is attitudes toward menopause.<\/span><\/p>\n

      e.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The IV is nap therapy for narcoleptics (same patients before vs after treatment); the DV is the type of nap they had the following week (had unplanned vs didn\u2019t have unplanned nap).<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      8.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Suppose we wanted to test the hypothesis that a control group of cancer patients (Group 1) would report higher mean pain ratings than an experimental group receiving special massage treatments (Group 2).\u00a0 Use the following information.\u00a0 Compute a\u00a0<\/span>t<\/em>-statistic for independent groups:<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 mean group 1 = 78.1\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 SD2<\/sup>1<\/sub>\u00a0<\/span>= 42.1\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 n1<\/sub>\u00a0<\/span>= 25<\/span><\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 mean group 2 = 75.1\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 SD2<\/sup>2<\/sub>\u00a0<\/span>= 39.7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 n2<\/sub>=25<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 What are the degrees of freedom and the value of\u00a0<\/span>t<\/em>\u00a0<\/span>? Using \u03b1=0.05 for a two-tailed test, is this\u00a0<\/span>t<\/em>\u00a0<\/span>statistic significant?\u00a0 Show your calculations (or StatCrunch output) for full credit.<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      9.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Write one or two sentences that could be used to report the results obtained for the t-test in Exercise 8.<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      10.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 For each of the following t values, indicate whether the\u00a0<\/span>t\u00a0<\/span><\/em>is statistically significant for a two-tailed test, at the specified alphas:<\/span><\/p>\n

      \u00a0<\/span><\/p>\n<\/div>\n

      \n

      a.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/span><\/span>t<\/span><\/em>\u00a0<\/span>= 2.90,\u00a0<\/span>df<\/em>\u00a0<\/span>= 25, \u03b1 = 0.01<\/span><\/p>\n

      b.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/span><\/span>t<\/span><\/em>\u00a0<\/span>= 2.00,\u00a0<\/span>dr<\/em>\u00a0<\/span>= 25, \u03b1 = 0.05<\/span><\/p>\n

      c.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/span><\/span>t\u00a0<\/span><\/span><\/em>= 5.52,\u00a0<\/span>df\u00a0<\/span><\/em>= 10, \u03b1 = 0.01<\/span><\/p>\n

      d.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/span><\/span>t\u00a0<\/span><\/span><\/em>= 2.02,\u00a0<\/span>df\u00a0<\/span><\/em>= 150,\u00a0 \u03b1 = 0.05<\/span><\/p>\n<\/div>\n

      \n

      \u00a0<\/span><\/em><\/p>\n

      11.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 For each of the following situations, indicate whether ANOVA is appropriate; if not appropriate, the reason why not; and, if appropriate, the type of ANOVA that would be used (i.e., one-way, repeated measures, etc.)<\/span><\/p>\n

      a.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The IVs are ethnicity (Asian, White, African American, Hispanic) and gender (male vs female); the DV is serum cholesterol levels.<\/span><\/p>\n

      b.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The IV is smoking status \u2013 smokers vs non-smokers; the DV is health-related hardiness as measured on a 20-item scale.<\/span><\/p>\n

      c.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The IV is maternal breast feeding status (breastfeeds daily vs breastfeeds at least 1-3 times\/week vs doesn\u2019t breastfeed); the DV is maternal bonding with infant, as measured on a 20-item self-report scale.<\/span><\/p>\n

      d.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The IV is treatment group for patients with drug-induced shivering (extremity wraps vs high room temp vs normal room temp without wraps) same patient used for each treatment; the DV is myocardial oxygen consumption, measured before and after treatment.<\/span><\/p>\n

      e.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The IV is length of gestation (preterm vs term vs postterm); the DV is delivery type (vaginal vs Caesarean).<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      12.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Suppose we wanted to compare the somatic complaints (as measured on a scale known as the Physical Symptom Scale or PSS) of three groups of people: non-smokers, smokers, and people who recently quit smoking.\u00a0\u00a0 Using the following data for PSS, do a one-way ANOVA to test the hypothesis that the population means are equal:<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0<\/span>Nonsmokers<\/span>\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>Smokers\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/span>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>Quitters<\/span><\/span><\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 19\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 31\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 30<\/span><\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 28\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 29\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 22<\/span><\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 17\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 22\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 23<\/span><\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 20\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 24\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 22<\/span><\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 25\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 19\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 17<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      Using StatCrunch, determine the means for the three groups and compute the sums of squares, degrees of freedom, and mean squares for these data.\u00a0 What is the value of F?\u00a0 Using an alpha of 0.05, is the F statistic significant?\u00a0 Why?\u00a0 Copy and Paste your work from StatCrunch into your Word document submission.<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      13.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 A new motorcycle is being developed to meet new gas mileage standards recently passed by the federal government.\u00a0 An engineer tested three model designs by randomly assigning the motorcycles in a blind study (the riders recorded the mileage but did not know the design of the motorcycle, only its code). The data in miles per gallon (MPG) for the three designs is listed below:<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n
      \n

      X-1<\/span><\/span><\/strong><\/p>\n<\/td>\n

      		\n

      B-1<\/span><\/span><\/strong><\/p>\n<\/td>\n

      		\n

      Z-1<\/span><\/span><\/strong><\/p>\n<\/td>\n<\/tr>\n

      \n

      45<\/span><\/p>\n<\/td>\n

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      55<\/span><\/p>\n<\/td>\n

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      54<\/span><\/p>\n<\/td>\n<\/tr>\n

      \n

      62<\/span><\/p>\n<\/td>\n

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      55<\/span><\/p>\n<\/td>\n

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      52<\/span><\/p>\n<\/td>\n<\/tr>\n

      \n

      50<\/span><\/p>\n<\/td>\n

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      54<\/span><\/p>\n<\/td>\n

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      41<\/span><\/p>\n<\/td>\n<\/tr>\n

      \n

      65<\/span><\/p>\n<\/td>\n

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      44<\/span><\/p>\n<\/td>\n

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      35<\/span><\/p>\n<\/td>\n<\/tr>\n

      \n

      62<\/span><\/p>\n<\/td>\n

      		\n

      52<\/span><\/p>\n<\/td>\n

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      38<\/span><\/p>\n<\/td>\n<\/tr>\n

      \n

      50<\/span><\/p>\n<\/td>\n

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      69<\/span><\/p>\n<\/td>\n

      		\n

      41<\/span><\/p>\n<\/td>\n<\/tr>\n

      \n

      50<\/span><\/p>\n<\/td>\n

      		\n

      58<\/span><\/p>\n<\/td>\n

      		\n

      51<\/span><\/p>\n<\/td>\n<\/tr>\n

      \n

      58<\/span><\/p>\n<\/td>\n

      		\n

      45<\/span><\/p>\n<\/td>\n

      		\n

      44<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0 Using StatCrunch, determine the means for the three groups and compute the sums of squares, degrees of freedom, and mean squares for these data.\u00a0 What are the hypotheses to be tested here? What is the value of\u00a0<\/span>F<\/em>?\u00a0 Using an alpha of 0.05, is the\u00a0<\/span>F<\/em>\u00a0<\/span>statistic significant?\u00a0 Why?\u00a0 Copy and Paste your work from StatCrunch into your Word document submission for full credit.<\/span><\/p>\n

      \u00a0<\/span><\/p>\n

      14.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 For each of the following\u00a0<\/span>F<\/em>\u00a0<\/span>values, indicate whether the\u00a0<\/span>F<\/em>\u00a0<\/span>is statistically significant at the specified alpha level:<\/span><\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n<\/div>\n

      a.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 F = 4.80, df = 4, 40\u00a0 \u03b1 = 0.01<\/span><\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 b.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 F = 5.02, df = 3, 60, \u03b1 = 0.001<\/span><\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 c.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 F = 3.45, df = 3, 27, \u03b1 = 0.05<\/span><\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 d.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 F = 4.99, df = 2, 150, \u03b1 = 0.01<\/span><\/p>\n

      \u00a0<\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 e.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 F = 2.09, df = 2, 250, \u03b1 = 0.05<\/span><\/p>\n

      \u00a0<\/p>\n

      \u00a0————————————————————————————————————————————-<\/p>\n

      Week 3 Assignment<\/p>\n

      \u00a0<\/p>\n

      \u00a0<\/p>\n

      1.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Using StatCrunch, calculate the chi-square statistic and degrees of freedom for the following set of data for 300 people:<\/p>\n

      \u00a0<\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>Group A<\/span>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>Group B<\/span>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>Group C<\/span>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>Total<\/span><\/em><\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Had flu shot\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0 20\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 30\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 32\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0 82<\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Didn\u2019t have flu shot\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0 80\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 70\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 68\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0218<\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Total\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0100\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0 100\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0 100\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0 300<\/p>\n

      \u00a0<\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Is the value of the chi-square statistically significant at the 0.05 level?\u00a0<\/p>\n

      \u00a0<\/p>\n

      2.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Write a paragraph summarizing the results of the analysis in Exercise 1.<\/p>\n

      \u00a0<\/p>\n

      3.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Using StatCrunch, calculate the chi-square statistic and degrees of freedom for the following set of data for 180 people undergoing a knee replacement treatment with a drug supplement:<\/p>\n

      \u00a0<\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span>Treatment with drug X<\/span>\u00a0<\/span>\u00a0\u00a0\u00a0Treatment without Drug X<\/span>\u00a0 \u00a0\u00a0\u00a0<\/span>Total<\/span><\/em><\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Had > 8 wk rehab\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 18\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 32\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0 50\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0<\/p>\n

      Had < 8 wk rehab\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 70\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 60\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0130<\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Total\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 88\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 92\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0180<\/p>\n

      \u00a0<\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Is the value of the chi-square statistically significant at the 0.05 level?\u00a0<\/p>\n

      \u00a0<\/p>\n

      4.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Write a paragraph summarizing the results of the analysis in Exercise 3.<\/p>\n

      \u00a0<\/p>\n

      5.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Given each of the following circumstances, determine whether the calculated values of chi-square are statistically significant:<\/p>\n

      \u00a0<\/p>\n

      a.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/span>\u03c72<\/sup>\u00a0<\/span>= 3.02,\u00a0<\/span>df<\/em>\u00a0<\/span>= 1, \u03b1 = 0.05<\/p>\n

      b.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/span>\u03c72<\/sup>\u00a0<\/span>= 8.09,\u00a0<\/span>df<\/em>\u00a0<\/span>= 4, \u03b1 = 0.05<\/p>\n

      c.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/span>\u03c72<\/sup>\u00a0<\/span>= 10.67,\u00a0<\/span>df<\/em>\u00a0<\/span>= 3, \u03b1 = 0.01<\/p>\n

      d.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/span>\u03c72<\/sup>\u00a0<\/span>= 9.88,\u00a0<\/span>df<\/em>\u00a0<\/span>= 2, \u03b1 = 0.01<\/p>\n

      \u00a0<\/p>\n

      6.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Match each of the nonparametric tests in Column A with its parametric counterpart in Column B<\/p>\n

      \u00a0<\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 A. Nonparametric Test\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 B.\u00a0 Parametric Test<\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 1.\u00a0 Mann-Whitney\u00a0<\/span>U<\/em>-test\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 a.\u00a0 Paired\u00a0<\/span>t<\/em>-test<\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 2.\u00a0 Friedman test\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 b.\u00a0 One-way ANOVA<\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 3.\u00a0 Kruskall-Wallis test\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 c.\u00a0 Independent groups\u00a0<\/span>t<\/em>-test<\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 4.\u00a0 Wilcoxon signed-ranks test\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 d.\u00a0 Repeated measures ANOVA<\/p>\n

      \u00a0<\/p>\n

      7.\u00a0\u00a0 Using the information provided, indicate which statistical test you think should be used for each of the following situations:<\/p>\n

      \u00a0<\/p>\n

      a.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/span>Independent variable: normal birth weight vs. low birth weight infants; dependent variable: 1 minute Apgar scores (1-10 scale).<\/p>\n

      b.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/span>Independent variable: time of measurement (before, during, and after surgery); dependent variable: heart rate.<\/p>\n

      c.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/span>Independent variable: time of measurement (before, during, and after intervention); dependent variable: did vs did not exercise regularly.<\/p>\n

      d.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/span>Independent variable: infertility treatment A vs infertility treatment B vs control condition; dependent variable: did vs did not become pregnant.<\/p>\n

      \u00a0<\/p>\n

      8.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Below are three sets of\u00a0<\/span>expected<\/span><\/strong>\u00a0<\/span>frequencies for the four cells of\u00a0<\/span>2 X 2\u00a0<\/span><\/strong>contingency tables.\u00a0 Identify which statistical procedure would be appropriate for each, using the most conservative approach.<\/p>\n

      \u00a0<\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 a.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 4\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 4\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 b.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 35\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 35\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 c.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 9\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 9<\/p>\n

      \u00a0<\/p>\n

      \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 21\u00a0\u00a0\u00a0 21\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 65\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 65 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a091\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 91<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

      14 + 8 Answers and calculations as basic statistics student would explain put into both an MS Excel spreadsheet and copied into MS Word doc format. Due by 7pm 2\/2\/14.\u00a0 \u00a0 Week 2 Assignment A. What is the probability of rolling a four in the gambling dice game of craps (given two six sided dice)?\u00a0\u00a0\u00a0 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[31],"tags":[],"class_list":["post-21001","post","type-post","status-publish","format-standard","hentry","category-homework-help"],"_links":{"self":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/21001","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/comments?post=21001"}],"version-history":[{"count":0,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/21001\/revisions"}],"wp:attachment":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/media?parent=21001"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/categories?post=21001"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/tags?post=21001"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}