{"id":7055,"date":"2021-10-12T07:25:39","date_gmt":"2021-10-12T07:25:39","guid":{"rendered":"https:\/\/assignmenttutors.net\/blog\/1-the-power-of-the-t-test-increases-with-____\/"},"modified":"2021-10-12T07:44:12","modified_gmt":"2021-10-12T07:44:12","slug":"1-the-power-of-the-t-test-increases-with-____","status":"publish","type":"post","link":"https:\/\/assignmenttutors.net\/blog\/1-the-power-of-the-t-test-increases-with-____\/","title":{"rendered":"1. the power of the t test increases with ____."},"content":{"rendered":"
\n

1. The power of the\u00a0t\u00a0test increases with ____.<\/span><\/p>\n

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

increases in the effect of the independent variable<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

decreases in the sample variance(s)<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

all of the other three options<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

2.\u00a0Having just made what you feel is to be a Type II error, using an independent groups design and a\u00a0t\u00a0test analysis, which of the following might you do in the next experiment to reduce the probability of a Type II error?<\/span><\/p>\n

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

change to a correlated groups design<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

try to reduce the variance by better experimental control<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

all of the other three options<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

3.\u00a0The\u00a0t\u00a0test for correlated groups requires that ____.<\/span><\/p>\n\n\n\n
\n

the sampling distribution of\u00a0\u00a0is normally distributed<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

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

the population raw scores are normally distributed<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

the sampling distribution of\u00a0\u00a0is normally is normally distributed<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

4.\u00a0In the\u00a0t\u00a0test for independent groups, ____.<\/span><\/p>\n

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

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

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

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

5.\u00a0Exhibit 14-1<\/span><\/p>\n

A professor of women’s studies is interested in determining if stress affects the menstrual cycle. Ten women are randomly sampled for an experiment and randomly divided into two groups. One of the groups is subjected to high stress for two months while the other lives in a relatively stress-free environment. The professor measures the menstrual cycle (in days) of each woman during the second month. The following data are obtained.<\/span><\/p>\n\n\n\n\n
\n

High stress<\/span><\/p>\n<\/td>\n

\n

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

\n

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

\n

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

\n

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

\n

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

\n

Relatively stress free<\/span><\/p>\n<\/td>\n

\n

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

\n

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

\n

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

\n

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

\n

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

Refer to Exhibit 14-1. The obtained value of the appropriate statistic is ____.<\/span><\/p>\n

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

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

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

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

6.\u00a0Exhibit 14-1<\/span><\/p>\n

A professor of women’s studies is interested in determining if stress affects the menstrual cycle. Ten women are randomly sampled for an experiment and randomly divided into two groups. One of the groups is subjected to high stress for two months while the other lives in a relatively stress-free environment. The professor measures the menstrual cycle (in days) of each woman during the second month. The following data are obtained.<\/span><\/p>\n\n\n\n\n
\n

High stress<\/span><\/p>\n<\/td>\n

\n

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

\n

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

\n

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

\n

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

\n

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

\n

Relatively stress free<\/span><\/p>\n<\/td>\n

\n

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

\n

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

\n

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

\n

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

\n

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

Refer to Exhibit 14-1. The df for determining\u00a0tcrit\u00a0<\/sub>are ____.<\/span><\/p>\n

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

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

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

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

6.\u00a0Exhibit 14-1<\/span><\/p>\n

A professor of women’s studies is interested in determining if stress affects the menstrual cycle. Ten women are randomly sampled for an experiment and randomly divided into two groups. One of the groups is subjected to high stress for two months while the other lives in a relatively stress-free environment. The professor measures the menstrual cycle (in days) of each woman during the second month. The following data are obtained.<\/span><\/p>\n\n\n\n\n
\n

High stress<\/span><\/p>\n<\/td>\n

\n

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

\n

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

\n

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

\n

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

\n

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

\n

Relatively stress free<\/span><\/p>\n<\/td>\n

\n

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

\n

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

\n

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

\n

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

\n

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

Refer to Exhibit 14-1. Using\u00a0a= .052 tail<\/sub>,\u00a0tcrit<\/sub>= ____.<\/span><\/p>\n

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

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

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

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

7.\u00a0Exhibit 14-1<\/span><\/p>\n

A professor of women’s studies is interested in determining if stress affects the menstrual cycle. Ten women are randomly sampled for an experiment and randomly divided into two groups. One of the groups is subjected to high stress for two months while the other lives in a relatively stress-free environment. The professor measures the menstrual cycle (in days) of each woman during the second month. The following data are obtained.<\/span><\/p>\n\n\n\n\n
\n

High stress<\/span><\/p>\n<\/td>\n

\n

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

\n

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

\n

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

\n

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

\n

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

\n

Relatively stress free<\/span><\/p>\n<\/td>\n

\n

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

\n

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

\n

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

\n

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

\n

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

Refer to Exhibit 14-1. Using\u00a0a= .052 tail<\/sub>, your conclusion is ____.<\/span><\/p>\n\n\n\n
\n

accept\u00a0H0<\/sub>; stress does not affect the menstrual cycle<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

retain\u00a0H0<\/sub>; we cannot conclude that stress affects the menstrual cycle<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

retain\u00a0H0<\/sub>; stress affects the menstrual cycle<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

reject\u00a0H0<\/sub>; stress affects the menstrual cycle<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

8.\u00a0Exhibit 14-1<\/span><\/p>\n

A professor of women’s studies is interested in determining if stress affects the menstrual cycle. Ten women are randomly sampled for an experiment and randomly divided into two groups. One of the groups is subjected to high stress for two months while the other lives in a relatively stress-free environment. The professor measures the menstrual cycle (in days) of each woman during the second month. The following data are obtained.<\/span><\/p>\n\n\n\n\n
\n

High stress<\/span><\/p>\n<\/td>\n

\n

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

\n

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

\n

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

\n

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

\n

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

\n

Relatively stress free<\/span><\/p>\n<\/td>\n

\n

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

\n

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

\n

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

\n

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

\n

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

Refer to Exhibit 14-1. Estimate the size of the effect.= ____<\/span><\/p>\n

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

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

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

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

9.\u00a0Which of the following tests analyzes the difference between the means of two independent samples?<\/span><\/p>\n

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

t\u00a0test for independent groups<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

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

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

10.\u00a0Which of the following is (are) assumption(s) underlying the use of the\u00a0F\u00a0test?<\/span><\/p>\n\n\n\n
\n

the raw score populations are normally distributed<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

the variances of the raw score populations are the same<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

the mean of the populations differ<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

the raw score populations are normally distributed and the variances of the raw score populations are the same<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

11.\u00a0If its assumptions are met, the analysis of variance technique is appropriate when ____.<\/span><\/p>\n\n\n\n
\n

two or more factors are varied<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

several levels of a single independent variable are compared<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

three or more groups are involved<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

all of the other three options<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

12.\u00a0sB<\/sub>2<\/sup>is a measure of ____.<\/span><\/p>\n

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

s\u00a02<\/sup>\u00a0+ the effects of the independent variable<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

the variability between the means<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

s\u00a02<\/sup>\u00a0+ the effects of the independent variable and the variability between the means<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

13.\u00a0The total degrees of freedom for an experiment with\u00a0n1<\/sub>= 10,n2<\/sub>= 12, and\u00a0n3<\/sub>= 10 is ____.<\/span><\/p>\n

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

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

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

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

14.\u00a0Exhibit 15-3<\/span><\/p>\n

Pertain to the following data.<\/span><\/p>\n

Group 1- 4, 9, 10<\/span><\/p>\n

Group 2- 11, 11, 10<\/span><\/p>\n

Group 3- 1, 6, 4<\/span><\/p>\n

Refer to Exhibit 15-3. What is the value of\u00a0Fobt<\/sub>?<\/span><\/p>\n

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

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

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

15.\u00a0Exhibit 15-3<\/span><\/p>\n

Pertain to the following data.<\/span><\/p>\n

Group 1- 4, 9, 10
Group 2- 11, 11, 10
Group 3- 1, 6, 4<\/span><\/p>\n

Refer to Exhibit 15-3. What is the value of\u00a0Fcrit<\/sub>? Use\u00a0a= 0.05.<\/span><\/p>\n

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

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

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

16.\u00a0Exhibit 15-3
Pertain to the following data.<\/span><\/p>\n

Group 1- 4, 9, 10
Group 2- 11, 11, 10
Group 3- 1, 6, 4<\/span><\/p>\n

Refer to Exhibit 15-3. What is your conclusion? Again use\u00a0a\u00a0= 0.05<\/span><\/p>\n

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

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

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

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

17.\u00a0Exhibit 15-3<\/span><\/p>\n

Pertain to the following data.<\/span><\/p>\n

Group 1- 4, 9, 10
Group 2- 11, 11, 10
Group 3- 1, 6, 4<\/span><\/p>\n

Refer to Exhibit 15-3. Using, the estimated size of effect is ____.<\/span><\/p>\n

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

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

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

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

Exhibit 15-3<\/span><\/p>\n

Pertain to the following data.<\/span><\/p>\n

Group 1- 4, 9, 10
Group 2- 11, 11, 10
Group 3- 1, 6, 4<\/span><\/p>\n

Refer to Exhibit 15-3. Using\u00a02<\/sup>, what is the estimated size of effect?<\/span><\/p>\n

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

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

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

19.\u00a0What is the value of\u00a0SST<\/sub>\u00a0if\u00a0SSB<\/sub>\u00a0= 236 and\u00a0SSW<\/sub>\u00a0= 54?<\/span><\/p>\n

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

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

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

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

20.\u00a0By doing multiple t tests when there are more than 2 experimental groups we increase the risk of making what kind of mistake?<\/span><\/p>\n

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

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

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

all of the other three options<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

21.\u00a0If X1=46, X2= 50, X3= 92 and\u00a0n1<\/sub>=n2<\/sub>=n3<\/sub>, what is the value of Xg?<\/span><\/p>\n\n\n\n
\n

cannot be determined from information given<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

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

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

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

22.\u00a0If\u00a0SSW<\/sub>= 126,N= 28,k= 4, then what is the value of\u00a0sW<\/sub>2<\/sup><\/span><\/p>\n\n\n\n
\n

cannot be determined from information given<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

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

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

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

23.\u00a0If dfB<\/sub>= 3 and dfT<\/sub>= 29 and\u00a0Fobt<\/sub>= 3.15, what would you conclude using\u00a0a= 0.05?<\/span><\/p>\n

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

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

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

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

24.\u00a0IfsB<\/sub>2<\/sup>= 27.9 andsW<\/sub>2<\/sup>= 54.2, what is the value ofFobt<\/sub>?<\/span><\/p>\n\n\n\n
\n

impossible result, there must be an error<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

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

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

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

25.\u00a0A priori\u00a0comparisons ____.<\/span><\/p>\n\n\n\n
\n

are planned in advance of the experiment<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

often arise out of theory and prior research<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

may be done without obtaining a significant\u00a0Fobt<\/sub>\u00a0in the one-way ANOVA<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

all of the other three options<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

26.\u00a0The sampling distribution of chi-square is ____.<\/span><\/p>\n

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

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

is a theoretical distribution<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

all of the other three options<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

27.\u00a0The computation of\u00a0fe<\/sub>____.<\/span><\/p>\n\n\n\n
\n

is based on population proportion estimates<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

is based on known population proportions<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

is based on population means<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

none of the other three options<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

28.\u00a0If\u00a0N= 18 and\u00a0a= 0.052 tailed<\/sub>, the value of\u00a0Tcrit\u00a0<\/sub>is ____.<\/span><\/p>\n

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

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

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

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

29.\u00a0If\u00a0a= 0.05, and df = 4, the value of\u00a0c\u00a02<\/sup>crit<\/sub>= ____.<\/span><\/p>\n

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

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

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

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

30.\u00a0Exhibit 17-1<\/span><\/p>\n

Prior to a recent gubernatorial election, a survey was conducted to determine whether there was a relationship between sexual gender and preference for the Democratic or Republican candidate. The following data were recorded.
\u00a0<\/span><\/p>\n

Republican Female: 82 \u00a0 \u00a0Democrat Female: 118 \u00a0— 200<\/span><\/p>\n

Republican Male: 68 \u00a0 \u00a0 \u00a0 \u00a0Democrat Male: 132 \u00a0 \u00a0 \u00a0 — 200<\/span><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0–150 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 –250 \u00a0 \u00a0 \u00a0 –400<\/span><\/p>\n

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

Refer to Exhibit 17-1. The value of\u00a0c\u00a02<\/sup>obt<\/sub>= ____.<\/span><\/p>\n

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

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

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

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

31.\u00a0Exhibit 17-1<\/span><\/p>\n

Prior to a recent gubernatorial election, a survey was conducted to determine whether there was a relationship between sexual gender and preference for the Democratic or Republican candidate. The following data were recorded.<\/span><\/p>\n

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

Republican Female: 82 \u00a0 \u00a0Democrat Female: 118 \u00a0— 200<\/span><\/p>\n

Republican Male: 68 \u00a0 \u00a0 \u00a0 \u00a0Democrat Male: 132 \u00a0 \u00a0 \u00a0 — 200<\/span><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0–150 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 –250 \u00a0 \u00a0 \u00a0 –400<\/span><\/p>\n

Refer to Exhibit 17-1. The value of df = ____.<\/span><\/p>\n

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

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

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

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

32.\u00a0Exhibit 17-1<\/span><\/p>\n

Prior to a recent gubernatorial election, a survey was conducted to determine whether there was a relationship between sexual gender and preference for the Democratic or Republican candidate. The following data were recorded.<\/span><\/p>\n

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

Republican Female: 82 \u00a0 \u00a0Democrat Female: 118 \u00a0— 200<\/span><\/p>\n

Republican Male: 68 \u00a0 \u00a0 \u00a0 \u00a0Democrat Male: 132 \u00a0 \u00a0 \u00a0 — 200<\/span><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0–150 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 –250 \u00a0 \u00a0 \u00a0 –400<\/span><\/p>\n

Refer to Exhibit 17-1. Using\u00a0a= 0.05,c\u00a02<\/sup>crit<\/sub>= ____.<\/span><\/p>\n

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

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

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

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

33. \u00a0Exhibit 17-1<\/span><\/p>\n

Prior to a recent gubernatorial election, a survey was conducted to determine whether there was a relationship between sexual gender and preference for the Democratic or Republican candidate. The following data were recorded.<\/span><\/p>\n

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

Republican Female: 82 \u00a0 \u00a0Democrat Female: 118 \u00a0— 200<\/span><\/p>\n

Republican Male: 68 \u00a0 \u00a0 \u00a0 \u00a0Democrat Male: 132 \u00a0 \u00a0 \u00a0 — 200<\/span><\/p>\n

\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0–150 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 –250 \u00a0 \u00a0 \u00a0 –400<\/span><\/p>\n

Refer to Exhibit 17-1. Using\u00a0a= 0.05, what is your conclusion?<\/span><\/p>\n\n\n\n
\n

accept\u00a0H0<\/sub>; there is no relationship between sex and candidate preference<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

reject\u00a0H0<\/sub>; there is a significant relationship between sex and candidate preference<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

retain\u00a0H0<\/sub>; the study does not show a significant relationship between sex and candidate preference<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

retain\u00a0H0<\/sub>; this study shows a significant relationship between sex and candidate preference<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

34.\u00a0As the separation between the two groups of scores increases,\u00a0Uobt<\/sub>\u00a0____.<\/span><\/p>\n

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

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

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

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


35.\u00a0The statistics (U\u00a0or\u00a0U’) used in the Mann-Whitney\u00a0U\u00a0test, measure ____.<\/span><\/span><\/p>\n\n\n\n
\n

the differences between the means of the two groups<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

the direction of the differences between pairs of scores<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

the power of the experiment<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

the separation between the two groups<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n


36.\u00a0Using SPSS, the appropriate steps to analyze data for student\u2019s t test for correlated groups are _________<\/span><\/span><\/p>\n\n\n\n
\n

Compare Means > Paired Sample t test >Before_C>After_C<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

Analyze > Compare Means > Paired Sample t test >After_C>Before_C<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

Analyze > Compare Means > Paired Sample t test >Before_C>After_C<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

Analyze > Compare Means >Before_C>After_C<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n


37.\u00a0In SPSS, the results of analysing data for student\u2019s t test are displayed\u00a0\u00a0 ____.<\/span><\/span><\/p>\n

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

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

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


38.\u00a0In SPSS, the appropriate steps to analyze data for a one-way ANOVA are ____.<\/span><\/span><\/p>\n\n\n\n
\n

you cannot perform ANOVA in SPSS<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

One-Way ANOVA >Analyze > Compare Means<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

Compare Means > One-Way ANOVA<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

Analyze > Compare Means > One-Way ANOVA<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n


39.\u00a0In SPSS, when you follow the steps to perform one-way ANOVA,\u00a0 ____.<\/span><\/span><\/p>\n\n\n\n
\n

you will not be given the option to compute \u201cdescriptive statistics\u201d<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

you will\u00a0 be given the option to compute \u201cdescriptive statistics\u201d<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

you will\u00a0 be given the option to compute \u201cdescriptive statistics\u201d, but you have to open a new file<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

you will\u00a0 be given the option to compute \u201cdescriptive statistics\u201d, but you have to restart SPSS<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

1. The power of the\u00a0t\u00a0test increases with ____. \u00a0 increases in the effect of the independent variable \u00a0 decreases in the sample variance(s) \u00a0 all of the other three options \u00a0 2.\u00a0Having just made what you feel is to be a Type II error, using an independent groups design and a\u00a0t\u00a0test analysis, which of the […]<\/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-7055","post","type-post","status-publish","format-standard","hentry","category-homework-help"],"_links":{"self":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/7055","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=7055"}],"version-history":[{"count":1,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/7055\/revisions"}],"predecessor-version":[{"id":7089,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/7055\/revisions\/7089"}],"wp:attachment":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/media?parent=7055"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/categories?post=7055"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/tags?post=7055"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}