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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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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.
Answered Same Day Jul 28, 2021

Solution

Biswajit answered on Jul 29 2021
151 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 Facto
    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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