{"id":12472,"date":"2021-10-30T03:41:13","date_gmt":"2021-10-30T03:41:13","guid":{"rendered":"https:\/\/assignmenttutors.net\/blog\/econ-1030-business-statistics-1-revision\/"},"modified":"2021-10-30T03:41:13","modified_gmt":"2021-10-30T03:41:13","slug":"econ-1030-business-statistics-1-revision","status":"publish","type":"post","link":"https:\/\/assignmenttutors.net\/blog\/econ-1030-business-statistics-1-revision\/","title":{"rendered":"Econ 1030 business statistics 1 revision"},"content":{"rendered":"
\n

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

Business Statistics 1 Revision<\/em><\/p>\n

1. The complete collection of all entities under study is called the __________.<\/p>\n

A. sample<\/p>\n

B. parameter<\/p>\n

C. statistic<\/p>\n

D. population<\/p>\n

2. A portion (subset) of the entities under study is called the __________.<\/p>\n

A. parameter<\/p>\n

B. sample<\/p>\n

C. population<\/p>\n

D. statistic<\/p>\n

3. Claudia Taylor, Director of Global Industrial Sales in Melbourne, is concerned by a deteriorating sales trend. Specifically, the number of customers is stable at 1500 but they are purchasing less each year. She orders her staff to search for causes of the downward trend by surveying all 1500 industrial customers. For this study, the set of 1500 industrial customers is a<\/p>\n

________________.<\/p>\n

A. statistic<\/p>\n

B. sample<\/p>\n

C. population<\/p>\n

D. parameter<\/p>\n

4. When a person collects information from the entire population, this is called a _____________.<\/p>\n

A. sample<\/p>\n

B. census<\/p>\n

C. statistic<\/p>\n

D. parameter<\/p>\n

5. Claudia Taylor, Director of Global Industrial Sales in Melbourne, is concerned by a deteriorating sales trend. Specifically, the number of customers is stable at 1500 but they are purchasing less each year. She orders her staff to search for causes of the downward trend by selecting a focus group of 40 industrial customers. Sue is ordering a ___________________.<\/p>\n

A. statistic from the industrial customers<\/p>\n

B. census of the industrial customers<\/p>\n

C. sorting of the industrial customers<\/p>\n

D. sample of the industrial customers<\/p>\n

6. Claudia Taylor, Director of Global Industrial Sales in Melbourne, is concerned by a deteriorating sales trend. Specifically, the number of customers is stable at 1500 but they are purchasing less each year. She orders her staff to search for causes of the downward trend by surveying all 1500 industrial customers. One question on the survey asked the customers to rate \u2018Merchandise is delivered on time\u2019 on a scale of 1 to 5, with 1 meaning \u2018never\u2019 and 5 meaning \u2018always\u2019. The average response of the 1500 customers to this question is a ________________.<\/p>\n

A. parameter<\/p>\n

B. population<\/p>\n

C. sample<\/p>\n

D. statistic<\/p>\n

7. Claudia Taylor, Director of Global Industrial Sales in Melbourne, is concerned by a deteriorating sales trend. Specifically, the number of customers is stable at 1500 but they are purchasing less each year. She orders her staff to search for causes of the downward trend by selecting a focus group of 40 industrial customers. One question asked the focus group customers to rate \u2018Merchandise is delivered on time\u2019 on a scale of 1 to 5, with 1 meaning \u2018never\u2019 and 5 meaning \u2018always\u2019. The average response of the 40 customers to this question is a<\/p>\n

________________.<\/p>\n

A. parameter<\/p>\n

B. population<\/p>\n

C. sample<\/p>\n

D. statistic<\/p>\n

29. Which of the following operations is meaningful for processing nominal data?<\/p>\n

A. addition<\/p>\n

B. multiplication<\/p>\n

C. ranking<\/p>\n

D. counting<\/p>\n

8. Claudia Taylor, Director of Global Industrial Sales in Melbourne, is concerned by a deteriorating sales trend. Specifically, the number of customers is stable at 1500 but they are purchasing less each year. She orders her staff to search for causes of the downward trend by surveying all 1500 industrial customers. One question on the survey asked the customers, \u2018Which of the following best describes your primary business: (a) manufacturing, (b) wholesaler, (c) retail, (d) service\u2019. The measurement level for this question is<\/p>\n

___________________.<\/p>\n

A. nominal level<\/p>\n

B. ordinal level<\/p>\n

C. interval level<\/p>\n

D. ratio level<\/p>\n

9. Which of the following operations is meaningful for processing ordinal data, but is meaningless for processing nominal data?<\/p>\n

A. addition<\/p>\n

B. multiplication<\/p>\n

C. ranking<\/p>\n

D. counting<\/p>\n

10. A consumer has been asked to rank five cars based upon their desirability. This level of measurement is ___________________.<\/p>\n

A. nominal<\/p>\n

B. ratio<\/p>\n

C. ordinal<\/p>\n

D. interval<\/p>\n

11. A level of data measurement that has an absolute zero is called ____________.<\/p>\n

A. nominal<\/p>\n

B. ordinal<\/p>\n

C. interval<\/p>\n

D. ratio<\/p>\n

12. Upon discovering an improperly adjusted drill press, Jack Joyner, Director of Quality Control, ordered an inspection of \u2018every fifth casting drilled on the evening shift\u2019. Less than 1% of the castings were defective, so Jack released the evening shift\u2019s production to assembly. This is an example of ___________________.<\/p>\n

A. nonparametric statistics<\/p>\n

B. nominal data<\/p>\n

C. descriptive statistics<\/p>\n

D. inferential statistics<\/p>\n

13. The unemployment rate is often used as an indicator of a community\u2019s economic vitality. An unemployment rate is best described as what level of measurement?<\/p>\n

A. nominal<\/p>\n

B. ordinal<\/p>\n

C. interval<\/p>\n

D. ratio<\/p>\n

14. A graphical representation of a frequency distribution is called a ___________.<\/p>\n

A. stem and leaf plot<\/p>\n

B. ogive<\/p>\n

C. histogram<\/p>\n

D. pie chart<\/p>\n

15. Which of the following is best to show the percentage of a total budget that is spent on each category of items?<\/p>\n

A. histogram<\/p>\n

B. ogive<\/p>\n

C. stem and leaf chart<\/p>\n

D. pie chart<\/p>\n

16. Consider the following frequency distribution:<\/p>\n

\u00a0\u00a0<\/p>\n

Class Interval<\/p>\n

Frequency<\/p>\n

\u00a0<\/p>\n

10-under 20<\/p>\n

15<\/p>\n

\u00a0<\/p>\n

20-under 30<\/p>\n

25<\/p>\n

\u00a0<\/p>\n

30-under 40<\/p>\n

10<\/p>\n

What is the cumulative frequency of the second class interval?<\/p>\n

A. 25<\/p>\n

B. 40<\/p>\n

C. 15<\/p>\n

D. 50<\/p>\n

17. The number of phone calls arriving at a switchboard each hour has been recorded and the following frequency distribution has been developed.<\/p>\n

\u00a0\u00a0<\/p>\n

Class Interval<\/p>\n

Frequency<\/p>\n

\u00a0<\/p>\n

20-under 40<\/p>\n

30<\/p>\n

\u00a0<\/p>\n

40-under 60<\/p>\n

45<\/p>\n

\u00a0<\/p>\n

60-under 80<\/p>\n

80<\/p>\n

\u00a0<\/p>\n

80-under 100<\/p>\n

45<\/p>\n

What is the approximate range of this data?<\/p>\n

A. 0.45<\/p>\n

B. 0.90<\/p>\n

C. 0.225<\/p>\n

18. The cumulative frequency for a class is 27. The cumulative frequency for the nest (non-empty) class will be __________.<\/p>\n

A. less than 27<\/p>\n

B. equal to 27<\/p>\n

C. greater than 27<\/p>\n

D. 27 minus the next calss frequency<\/p>\n

19. Consider the following frequency distribution given below:<\/p>\n

\u00a0\u00a0<\/p>\n

Class Interval<\/p>\n

Frequency<\/p>\n

\u00a0<\/p>\n

20-under 40<\/p>\n

0.2<\/p>\n

\u00a0<\/p>\n

40-under 60<\/p>\n

0.3<\/p>\n

\u00a0<\/p>\n

60-under 80<\/p>\n

0.4<\/p>\n

\u00a0<\/p>\n

80-under 100<\/p>\n

0.1<\/p>\n

There were 60- numbers in the data set. How many numbers were in the interval 40-under 60?<\/p>\n

A. 30<\/p>\n

B. 50<\/p>\n

C. 18<\/p>\n

D. 12<\/p>\n

20. The lowest appropriate level of measurement for the mean is _________.<\/p>\n

A. nominal<\/p>\n

B. ordinal<\/p>\n

C. interval<\/p>\n

D. ratio<\/p>\n

21. The average of the squared deviations from the arithmetic mean is called the _________.<\/p>\n

A. standard deviation<\/p>\n

B. mean absolute deviation<\/p>\n

C. variance<\/p>\n

D. coefficient of variation<\/p>\n

22. The empirical rule says that approximately what percentage of the values would be within 2 standard deviations of the mean in a bell shaped set of data?<\/p>\n

A. 95%<\/p>\n

B. 68%<\/p>\n

C. 50%<\/p>\n

D. almost all<\/p>\n

23. A statistics student made the following grades on 5 tests: 84, 78, 88, 78 and 72. What is the mean grade?<\/p>\n

A. 78<\/p>\n

B. 80<\/p>\n

C. 72<\/p>\n

D. 84<\/p>\n

24. A commuter travels many kilometres to work each morning. She has timed this trip 5 times during the last month. The time (in minutes) required to make this trip was 34, 39, 41, 35 and<\/p>\n

41. The mean time required for this trip was __________.<\/p>\n

A. 35<\/p>\n

B. 41<\/p>\n

C. 37.5<\/p>\n

D. 38<\/p>\n

25. The following frequency distribution was constructed for the age of accounts receivable.<\/p>\n

<\/p>\n

The frequency distribution reveals that the accounts receivable ages are _______.<\/p>\n

A. skewed to the left<\/p>\n

B. skewed to the right<\/p>\n

C. not skewed<\/p>\n

D. normally distributed<\/p>\n

26. If the occurrence of one event does not affect the occurrence of another event, then the two events are _______.<\/p>\n

A. mutually exclusive<\/p>\n

B. complements<\/p>\n

C. independent<\/p>\n

D. elementary events<\/p>\n

27. The joint probability of X and Y is also referred to as _______.<\/p>\n

A. the intersection of X and Y<\/p>\n

B. the union of X and Y<\/p>\n

C. the marginal probability of X and Y<\/p>\n

D. the probability of X given Y<\/p>\n

28. Given P(A) = 0.40, P(B) = 0.50, P(A \u00c7 B) = 0.15. Find P(A \u00c8 B).<\/p>\n

A. 0.90<\/p>\n

B. 1.05<\/p>\n

C. 0.75<\/p>\n

D. 0.65<\/p>\n

29. Given P(A) = 0.40, P(B) = 0.50, P(A \u00c7 B) = 0.15. Find P(B|A).<\/p>\n

A. 0.20<\/p>\n

B. 0.80<\/p>\n

C. 0.30<\/p>\n

D. 0.375<\/p>\n

31. Meagan Davies manages a portfolio of 200 common stocks. Her staff classified the portfolio stocks by \u2018industry sector\u2019 and \u2018investment objective\u2019.<\/p>\n

\u00a0\u00a0<\/p>\n

Investment<\/p>\n

Industry Sector<\/p>\n

Total<\/p>\n

\u00a0<\/p>\n

objective<\/p>\n

Electronics<\/p>\n

Airlines<\/p>\n

Healthcare<\/p>\n

\u00a0<\/p>\n

Growth<\/p>\n

100<\/p>\n

10<\/p>\n

40<\/p>\n

150<\/p>\n

\u00a0<\/p>\n

Income<\/p>\n

20<\/p>\n

20<\/p>\n

10<\/p>\n

50<\/p>\n

\u00a0<\/p>\n

Total<\/p>\n

120<\/p>\n

30<\/p>\n

50<\/p>\n

200<\/p>\n

If a stock is selected randomly from Meagan\u2019s portfolio, P(Healthcare \u00c8 Electronics) = _______.<\/p>\n

A. 0.25<\/p>\n

B. 0.85<\/p>\n

C. 0.60<\/p>\n

D. 0.75<\/p>\n

32. If a stock is selected randomly from Meagan\u2019s portfolio, P(Growth Healthcare) =<\/p>\n

___________.<\/p>\n

A. 0.25<\/p>\n

B. 0.40<\/p>\n

C. 0.20<\/p>\n

D. 0.80<\/p>\n

33. Are \u2018Healthcare\u2019 and \u2018Income\u2019 independent, why or why not?<\/p>\n

A. Yes, because P(Healthcare Income) = P(Healthcare)<\/p>\n

B. No, because P(Healthcare) = P(Income)<\/p>\n

C. No, because P(Income \u00c7 Healthcare) = P(Healthcare) P(Income)<\/p>\n

D. Yes, because P(Income \u00c7 Healthcare) \u2260 0<\/p>\n

35. Given P(A) = 0.6, P(B) = 0.4, P(A \u00c7 B)=0.24. Which of the following statements is true?<\/p>\n

A. P(A|B) = 0.60<\/p>\n

B. P(A|B) = 0.40<\/p>\n

C. P(B|A) = 0.60<\/p>\n

D. A and B are mutually exclusive<\/p>\n

36. You are offered an investment opportunity. Its outcomes and probabilities are presented in the\u00a0<\/p>\n

X P(X)<\/p>\n

\u00a0\u00a0<\/p>\n

\u2013$1000<\/p>\n

.40<\/p>\n

\u00a0<\/p>\n

$0<\/p>\n

.20<\/p>\n

\u00a0<\/p>\n

+$1000<\/p>\n

.40<\/p>\n

The mean of this distribution is _____________.<\/p>\n

A. \u2013$400<\/p>\n

B. $0<\/p>\n

C. $200<\/p>\n

D. $400<\/p>\n

37. You are offered an investment opportunity. Its outcomes and probabilities are presented in the following table.<\/p>\n

<\/p>\n

X P(X)<\/p>\n

\u00a0\u00a0<\/p>\n

\u2013$1000<\/p>\n

.40<\/p>\n

\u00a0<\/p>\n

$0<\/p>\n

.20<\/p>\n

\u00a0<\/p>\n

+$1000<\/p>\n

.40<\/p>\n

Which of the following statements is true?<\/p>\n

A. This distribution is skewed to the right.<\/p>\n

B. This is a binomial distribution.<\/p>\n

C. This distribution is symmetric.<\/p>\n

D. This distribution is skewed to the left.<\/p>\n

38. You are offered an investment opportunity. Its outcomes and probabilities are presented in the following table.<\/p>\n

<\/p>\n

X P(X)<\/p>\n

\u00a0\u00a0<\/p>\n

\u2013$1000<\/p>\n

.40<\/p>\n

\u00a0<\/p>\n

$0<\/p>\n

.20<\/p>\n

\u00a0<\/p>\n

+$1000<\/p>\n

.40<\/p>\n

Which of the following statements is true?<\/p>\n

A. This distribution is skewed to the right.<\/p>\n

B. This is a binomial distribution.<\/p>\n

C. This distribution is symmetric.<\/p>\n

D. This distribution is skewed to the left.<\/p>\n

39. A student randomly guesses the answers to a five question true\/false test. If there is a 50% chance of guessing correctly on each question, what is the probability that the student misses no question?<\/p>\n

A. 0.000<\/p>\n

B. 0.200<\/p>\n

C. 0.500<\/p>\n

D. 0.031<\/p>\n

40. If X is a binomial random variable with n<\/em> = 8 and p<\/em> = 0.6, the standard deviation of X is<\/p>\n

______.<\/p>\n

A. 4.8<\/p>\n

B. 3.2<\/p>\n

C. 1.92<\/p>\n

D. 1.39<\/p>\n

41. If X is a binomial random with n<\/em> = 10 and p<\/em> = 0.4, what is the probability that X is equal to 3?<\/p>\n

A. 0.215<\/p>\n

B. 0.057<\/p>\n

C. 0.300<\/p>\n

D. 0.120<\/p>\n

42. If X is uniformly distributed over the interval 8 to 12, inclusively (8 \u00a3 X \u00a3 12), then the mean ( ) of this distribution is __________________.<\/p>\n

A. 10<\/p>\n

B. 20<\/p>\n

C. 5<\/p>\n

D. incalculable<\/p>\n

43. If X is uniformly distributed over the interval 8 to 12, inclusively (8 \u00a3 X \u00a3 12), then the standard deviation ( ) of this distribution is __________________.<\/p>\n

A. 4<\/p>\n

B. 1.33<\/p>\n

C. 1.15<\/p>\n

D. 2<\/p>\n

45. If X is a normal random variable with mean 60 and standard deviation 2, calculate the z<\/em>-score if X = 57.<\/p>\n

A. 1.5<\/p>\n

B. 2.5<\/p>\n

C. -1.6<\/p>\n

D. -0.5<\/p>\n

46. Let Z be a normal random variable with mean 0 and standard deviation 1. Use the normal tables to find P(Z > \u20131.1).<\/p>\n

A. 0.3643<\/p>\n

B. 0.8643<\/p>\n

C. 0.1357<\/p>\n

D. -0.1357<\/p>\n

47. A z-score is the number of __________ that a value is from the mean.<\/p>\n

A. variances<\/p>\n

B. standard deviation<\/p>\n

C. units<\/p>\n

D. miles<\/p>\n

48. The z-<\/em>value associated with a two-sided 95% confidence interval is _______.<\/p>\n

A. 1.28<\/p>\n

B. 1.645<\/p>\n

C. 1.96<\/p>\n

D. 2.575<\/p>\n

49. Sam Gates, Marketing Director of Mansfield Motors\u2019 Electrical Division, is leading a study to assess the relative importance of product features. An item on survey questionnaire distributed to 121 of Mansfield\u2019s customers asked them to rate the importance of \u2018ease of maintenance\u2019 on a scale of 1 to 10 (with 1 meaning \u2018not important\u2019 and 10 meaning \u2018highly important\u2019). His staff assembled the following statistics.<\/p>\n

\u00a0\u00a0<\/p>\n

Ease of Maintenance<\/p>\n

\u00a0<\/p>\n

Mean<\/p>\n

7.5<\/p>\n

\u00a0<\/p>\n

Population Standard Deviation<\/p>\n

1.1<\/p>\n

The 95% confidence interval for the population mean rating of \u2018ease of maintenance\u2019 is ______.<\/p>\n

A. 5.34 to 9.66<\/p>\n

B. 7.34 to 7.66<\/p>\n

C. 5.69 to 9.31<\/p>\n

D. 7.30 to 7.70<\/p>\n

50. The t<\/em>-distribution is similar to a normal distribution. However the t<\/em>-distribution is _______.<\/p>\n

A. not symmetric<\/p>\n

B. bimodal<\/p>\n

C. flatter<\/p>\n

D. discrete<\/p>\n

51. James Weepu, Human Resources Manager with Auckland First Bank (AFB), is reviewing the employee training programs of AFB branches. His staff randomly selected personnel files for 100 tellers in the Southern Region and determined that their mean training time was 25 hours. Assume that the population standard deviation is 5 hours. The 92% confidence interval for the population mean of training times is ________.<\/p>\n

A. 16.25 to 33.75<\/p>\n

B. 24.30 to 25.71<\/p>\n

C. 17.95 to 32.05<\/p>\n

D. 24.13 to 25.99<\/p>\n

52. Consider the following null and alternative hypotheses. Ho: \u00b5<\/em> \u00a3 7<\/p>\n

Ha: \u00b5<\/em> > 6<\/p>\n

These hypotheses _______________.<\/p>\n

A. are not mutually exclusive<\/p>\n

B. are not collectively exhaustive<\/p>\n

C. do not reference a population parameter<\/p>\n

D. are established correctly<\/p>\n

53. Consider the following null and alternative hypotheses. Ho: s<\/em> \u00b3 558<\/p>\n

Ha: s<\/em> < 558<\/p>\n

These hypotheses _______________.<\/p>\n

A. are not mutually exclusive<\/p>\n

B. are not collectively exhaustive<\/p>\n

C. do not reference a population parameter<\/p>\n

D. are established correctly<\/p>\n

54. The rejection and not rejectance regions are divided by a point called the _______.<\/p>\n

A. dividing point<\/p>\n

B. critical value<\/p>\n

C. rejection value<\/p>\n

D. not rejectance value<\/p>\n

55. The probability of committing a Type I error is called _______.<\/p>\n

A. \u03b1<\/em><\/p>\n

B. \u03b2<\/em><\/p>\n

C. x<\/em><\/p>\n

D. \u03c3<\/p>\n

56. In statistical hypothesis testing, another name for is _______.<\/p>\n

A. level of significance<\/p>\n

B. power<\/p>\n

C. beta<\/p>\n

D. Type II error probability<\/p>\n

57. The probability of committing a Type II error is represented by _______.<\/p>\n

A. \u03b1<\/em><\/p>\n

B. \u03b2<\/em><\/p>\n

C. 1 \u2013 \u03b1<\/em><\/p>\n

D. \u03b1 <\/em>\/ 2<\/p>\n

58. A researcher is testing a hypothesis of a single mean. The critical z-<\/em>value for = .05 and a two-tailed test is +1.96. The observed z-<\/em>value from sample data is 2.85. The decision made by the researcher based on this information is to _____ the null hypothesis.<\/p>\n

A. reject<\/p>\n

B. not reject<\/p>\n

C. redefine<\/p>\n

D. change the alternate hypothesis into<\/p>\n

59. Restaurateur Daniel Valentine is evaluating the feasibility of opening a restaurant in Richmond. The Chamber of Commerce estimates that \u2018Richmond families, on the average, dine out at least 3 evenings per week\u2019. Daniel plans to test this hypothesis using a random sample of 81 Richmond families. His null hypothesis is __________.<\/p>\n

A. \u03bc <\/em>\u00b3 3<\/p>\n

B. s \u00b3 3<\/p>\n

C. n <\/em>= 81<\/p>\n

D. \u03bc <\/em>< 3<\/p>\n

60. When the rod shearing process at Newcastle Steel is \u2018in control\u2019 it produces rods with a mean length of 120 cm. Periodically, quality control inspectors select a random sample of 36 rods. If the mean length of sampled rods is too long or too short, the shearing process is shut down. The alternative hypothesis is _________.<\/p>\n

A. n <\/em>= 36<\/p>\n

B. \u03bc <\/em>= 120<\/p>\n

C. \u03bc <\/em>\u2260 120<\/p>\n

D. n <\/em>\u2260 36<\/p>\n

61. The diameter of DVDs is normally distributed. Periodically, quality control inspectors at Dandenong DVDs randomly select a sample of 16 DVDs. If the mean diameter of the DVD is too large or too small the DVD punch is shut down for adjustment; otherwise, the punching process continues. The null hypothesis is _______.<\/p>\n

A. n <\/em>\u2260 16<\/p>\n

B. n <\/em>= 16<\/p>\n

C. m = 3.5<\/p>\n

D. m \u2260 3.5<\/p>\n

63. A measure of the degree of relatedness of two variables is _______.<\/p>\n

A. regression<\/p>\n

B. correlation<\/p>\n

C. residual<\/p>\n

D. least squares analysis<\/p>\n

64. In the regression equation y = 75.65 + 0.50x, the slope is _______.<\/p>\n

A. 0.5<\/p>\n

B. 75.65<\/p>\n

C. 1.00<\/p>\n

D. indeterminable<\/p>\n

66. The difference between the actual y<\/em>-value and the predicted y<\/em>-value found using a regression equation is called the _______.<\/p>\n

A. slope<\/p>\n

B. residual<\/p>\n

C. outlier<\/p>\n

D. scatter plot<\/p>\n

67. A standard deviation of the error of the regression model is called the _______.<\/p>\n

A. coefficient of determination<\/p>\n

B. sum of squares of error<\/p>\n

C. standard error of the estimate<\/p>\n

D. r-squared<\/p>\n

68. The total of the squared residuals is called the _______.<\/p>\n

A. coefficient of determination<\/p>\n

B. sum of squares of error<\/p>\n

C. standard error of the estimate<\/p>\n

D. r-squared<\/p>\n

69. The coefficient of determination must be _______.<\/p>\n

A. between \u20131 and +1<\/p>\n

B. between \u20131 and 0<\/p>\n

C. between 0 and 1<\/p>\n

D. equal to SSE \/ (n<\/em> \u2013 2)<\/p>\n

70. For a data set the regression equation is y<\/em> = 21 \u2013 3x<\/em>. The correlation coefficient for this data<\/p>\n

_______.<\/p>\n

A. must be 0<\/p>\n

B. is negative<\/p>\n

C. must be 1<\/p>\n

D. is positive<\/p>\n

71. If there is perfect negative correlation between two sets of numbers, then _______.<\/p>\n

A. r = 0<\/p>\n

B. r <\/em>= \u20131<\/p>\n

C. r <\/em>= +1<\/p>\n

D. SSE = 1<\/p>\n

72. The following data is to be used to construct a regression model:<\/p>\n

\u00a0\u00a0<\/p>\n

x<\/p>\n

5<\/p>\n

7<\/p>\n

4<\/p>\n

15<\/p>\n

12<\/p>\n

9<\/p>\n

\u00a0<\/p>\n

y<\/p>\n

8<\/p>\n

9<\/p>\n

12<\/p>\n

26<\/p>\n

16<\/p>\n

13<\/p>\n

Using \u03b1 = 0.05 to test the null hypothesis H0:\u03b21 = 0, the critical values are _________.<\/p>\n

A. -1.943 and 1.943<\/p>\n

B. -2.447 and 2.447<\/p>\n

C. -2.132 and 2.132<\/p>\n

D. -2.776 and 2.776<\/p>\n

73. The following data is to be used to construct a regression model:<\/p>\n

\u00a0\u00a0<\/p>\n

x<\/p>\n

1<\/p>\n

9<\/p>\n

5<\/p>\n

4<\/p>\n

8<\/p>\n

9<\/p>\n

\u00a0<\/p>\n

0<\/p>\n

\u00a0<\/p>\n

y<\/p>\n

2<\/p>\n

4<\/p>\n

9<\/p>\n

9<\/p>\n

3<\/p>\n

3<\/p>\n

The value of intercept is _________.<\/p>\n

A. -2.67<\/p>\n

B. -1.25<\/p>\n

C. 1.36<\/p>\n

D. 14.41<\/p>\n

75. In the model y = \u03b20 + \u03b21x<\/em>1 + \u03b22x<\/em>2 + \u03b23x<\/em>3 + \u03b5<\/em> ,<\/em> \u03b5<\/em> is _________________.<\/p>\n

A. a partial regression coefficient<\/p>\n

B. the regression constant<\/p>\n

C. the error of prediction<\/p>\n

D. the response variable<\/p>\n

76. Multiple regression analysis produced the following tables.<\/p>\n

\u00a0\u00a0<\/p>\n

Coefficients<\/p>\n

Standard \u00a0\u00a0Error<\/p>\n

t <\/em>Statistic<\/p>\n

p<\/em>-value<\/p>\n

\u00a0<\/p>\n

Intercept<\/p>\n

752.0833<\/p>\n

336.3158<\/p>\n

2.236241<\/p>\n

0.042132<\/p>\n

\u00a0<\/p>\n

x<\/em>1<\/p>\n

11.87375<\/p>\n

5.32047<\/p>\n

2.231711<\/p>\n

0.042493<\/p>\n

\u00a0<\/p>\n

x<\/em>2<\/p>\n

1.908183<\/p>\n

0.662742<\/p>\n

2.879226<\/p>\n

0.01213<\/p>\n

\u00a0<\/p>\n

\u00a0<\/p>\n

df<\/em><\/p>\n

SS<\/p>\n

MS<\/p>\n

F<\/em><\/p>\n

p<\/em>-value<\/p>\n

\u00a0<\/p>\n

Regression<\/p>\n

2<\/p>\n

203693.3<\/p>\n

101846.7<\/p>\n

6.745406<\/p>\n

0.010884<\/p>\n

\u00a0<\/p>\n

Residual<\/p>\n

12<\/p>\n

181184.1<\/p>\n

15098.67<\/p>\n

\u00a0<\/p>\n

Total<\/p>\n

14<\/p>\n

384877.4<\/p>\n

A. \u0177 = <\/em>752.0833 + 11.87375x<\/em>1 + 1.908183x<\/em>2<\/p>\n

B. \u0177 = <\/em>752.0833 + 336.3158 x<\/em>1 + 2.236241 x<\/em>2<\/p>\n

C. \u0177 = <\/em>336.3158 + 5.32047 x<\/em>1 + 0.662742 x<\/em>2<\/p>\n

D. \u0177 = <\/em>2.236241 + 2.231711 x<\/em>1 + 2.879226 x<\/em>2<\/p>\n

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

\u00a0\u00a0\u00a0 Business Statistics 1 Revision 1. The complete collection of all entities under study is called the __________. A. sample B. parameter C. statistic D. population 2. A portion (subset) of the entities under study is called the __________. A. parameter B. sample C. population D. statistic 3. Claudia Taylor, Director of Global Industrial Sales […]<\/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-12472","post","type-post","status-publish","format-standard","hentry","category-homework-help"],"_links":{"self":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/12472","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=12472"}],"version-history":[{"count":0,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/12472\/revisions"}],"wp:attachment":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/media?parent=12472"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/categories?post=12472"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/tags?post=12472"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}