1) The following data is mile times for a variety of participants in a race, divided by the participant's primary sport of interest. Tennis Soccer Baseball 8 7 9 7 6.5 8 7.5 8 7 7 7 8 Is there evidence at .1 significance of a difference in the mean mile time for the tennis group and the rest of the participants? Is there evidence at .1 significance of a difference in the mean mile time for the different groups? 2) When are ANOVA tests useful? 3) When are Chi-Square tests useful? 4) In a recent survey of 500 grocery shoppers, 29% of males and 40% of females make an impulse purchase when they shop. If the survey consists of 250 males and 250 females, at .05 significance is there evidence of a difference in proportion between the two populations? 5) Using the following table, compute the expected frequency of each cell, and compute the chi-square statistic. A B C Total X 20 30 25 75 Y 30 20 25 75 Total 50 50 50 150 6) Find data below which enumerates wines' various costs and critical scores. Wine Price Score A 5 56 B 10 48 C 15 65 D 18 60 E 20 80 F 25 70 G 30 61 H 12 68 Plot the data. Which field do you choose as your independent variable? 7) Use the data to make a linear regression equation. What is the coefficient of correlation? 8) Use the t-test to determine whether the variables are independent or not. Sheet1 Test #3 1) The following data is mile times for a variety of participants in a race, divided by the participant's primary sport of interest. Tennis Soccer Baseball 8 7 9 7 6.5 8 7.5 8 7 7 7 8 Is there evidence at .1 significance of a difference in the mean mile time for the tennis group and the rest of the participants? Is there evidence at .1 significance of a difference in the mean mile time for the different groups? 2) When are ANOVA tests useful? 3) When are Chi-Square tests useful? 4) In a recent survey of 500 grocery shoppers, 29% of males and 40% of females make an impulse purchase when they shop. If the survey consists of 250 males and 250 females, at .05 significance is there evidence of a difference in proportion between the two populations? 5) Using the following table, compute the expected frequency of each cell, and compute the chi-square statistic. A B C Total X 20 30 25 75 Y 30 20 25 75 Total 50 50 50 150 6) Find data below which enumerates wines' various costs and critical scores. Wine Price Score A 5 56 B 10 48 C 15 65 D 18 60 E 20 80 F 25 70 G 30 61 H 12 68 Plot the data. Which field do you choose as your independent variable? 7) Use the data to make a linear regression equation. What is the coefficient of correlation? 8) Use the t-test to determine whether the variables are independent or not.

1) The following data is mile times for a variety of participants in a race, divided by the participant's primary sport of interest. Tennis Soccer Baseball 8 7 9 7 6.5 8 7.5 8 7 7 7 8 Is there...

1) The following data is mile times for a variety of participants in a race, divided by the participant's primary sport of interest.

Tennis	Soccer	Baseball
8	7	9
7	6.5	8
7.5	8	7
7	7	8

Is there evidence at .1 significance of a difference in the mean mile time for the tennis group and the rest of the participants?
Is there evidence at .1 significance of a difference in the mean mile time for the different groups?

2) When are ANOVA tests useful?

3) When are Chi-Square tests useful?

4) In a recent survey of 500 grocery shoppers, 29% of males and 40% of females make an impulse purchase when they shop.
If the survey consists of 250 males and 250 females, at .05 significance is there evidence of a difference in proportion between the two populations?

5) Using the following table, compute the expected frequency of each cell, and compute the chi-square statistic.

	A	B	C	Total
X	20	30	25	75
Y	30	20	25	75
Total	50	50	50	150

6) Find data below which enumerates wines' various costs and critical scores.

Wine	Price	Score
A	5	56
B	10	48
C	15	65
D	18	60
E	20	80
F	25	70
G	30	61
H	12	68

Plot the data. Which field do you choose as your independent variable?

7) Use the data to make a linear regression equation. What is the coefficient of correlation?

8) Use the t-test to determine whether the variables are independent or not.

Sheet1 Test #3 1) The following data is mile times for a variety of participants in a race, divided by the participant's primary sport of interest. TennisSoccerBaseball 879 76.58 7.587 778 Is there evidence at .1 significance of a difference in the mean mile time for the tennis group and the rest of the participants? Is there evidence at .1 significance of a difference in the mean mile time for the different groups? 2) When are ANOVA tests useful? 3) When are Chi-Square tests useful? 4) In a recent survey of 500 grocery shoppers, 29% of males and 40% of females make an impulse purchase when they shop. If the survey consists of 250 males and 250 females, at .05 significance is there evidence of a difference in proportion between the two populations? 5) Using the following table, compute the expected frequency of each cell, and compute the chi-square statistic. ABCTotal X20302575 Y30202575 Total505050150 6) Find data below which enumerates wines' various costs and critical scores. WinePriceScore A556 B1048 C1565 D1860 E2080 F2570 G3061 H1268 Plot the data. Which field do you choose as your independent variable? 7) Use the data to make a linear regression equation. What is the coefficient of correlation? 8) Use the t-test to determine whether the variables are independent or not.

exam-03-2avtvg5j-uth5nuc4.xlsx

Answered Same DayJul 28, 2021

Answer To: 1) The following data is mile times for a variety of participants in a race, divided by the...

Biswajit answered on Jul 29 2021

139 Votes

Sheet1
    Test #3
    1) The following data is mile times for a variety of participants in a race, divided by the participant's primary sport of interest.
    Tennis    Soccer    Baseball
    8    7    9        t-Test: Two-Sample Assuming Equal Variances                    t-Test: Two-Sample Assuming Equal Variances                    Anova: Single Factor
    7    6.5    8            Tennis    Soccer                Tennis    Baseball            SUMMARY
    7.5    8    7        Mean    7.375    7.125            Mean    7.375    8.000            Groups    Count    Sum    Average    Variance                    t-Test: Two-Sample Assuming Unequal Variances                    t-Test: Two-Sample Assuming Unequal Variances
    7    7    8        Variance    0.229    0.396            Variance    0.229    0.667            Tennis    4    29.5    7.375    0.2291666667                        Tennis    Soccer                Tennis    Baseball
                    Observations    4.000    4.000            Observations    4.000    4.000            Soccer    4    28.5    7.125    0.3958333333                    Mean    7.375    7.125            Mean    7.375    8
    Is there evidence at .1 significance of a difference in the mean mile time for the tennis group and the rest of the participants?    As p value >0.1,so no evidence of difference between tennis group & other group as found from individual t test            Pooled Variance    0.313                Pooled Variance    0.448                Baseball    4    32    8    0.6666666667                    Variance    0.2291666667    0.3958333333            Variance    0.2291666667    0.6666666667
    Is there evidence at .1 significance of a difference in the mean mile time for the different groups?    As found from p value in Anova is greater than 0.1,no difference among three groups            Hypothesized Mean Difference    0.000                Hypothesized Mean...

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1) The following data is mile times for a variety of participants in a race, divided by the participant's primary sport of interest. Tennis Soccer Baseball 8 7 9 7 6.5 8 7.5 8 7 7 7 8 Is there...

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