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A. There is NOT a significant relationship between the type of milk one drinks a

ID: 3242090 • Letter: A

Question

A. There is NOT a significant relationship between the type of milk one drinks and time spent studying.

B. There is a significant relationship between the type of milk one drinks and studying. Specifically, people who drink 1% milk study significantly more than people who drink whole milk.

C. There is a significant relationship between the type of milk one drinks and time spent studying. However, without further analysis, we cannot say which milk groups are significantly different from each other in terms of number of hours spent studying.

Descriptives study 95% Confidence Interval for Mean Std Deviation Std. Error Lower Bound Upper Bound Minimum Maximum Mean i 13 5.62 4.735 1.313 2.75 8.48 16 2 15 9.00 6.000 1.549 5.68 12.32 3 25 3 31 739 5.377 966 5.41 9.36 20 4 9.75 8.172 2.889 2.92 16.58 2 25 5 20 10.15 5.402 1.208 7.62 12.68 3 25 6 14, 14.64 10.867 2.904 8.37 20.92 45 7 23 8.78 5.728 1.194 6.31 11.26 2 25 7.87 10.27 Total 124 6.763 .607 ANOVA study Sum of df Mean Square F Sig. Squares 6 117.790 2.801 .014 706.738 Between Groups 117 Within Groups 4919.609 42.048 123 Total 5626.347

Explanation / Answer

alpha = 0.05, p-value of f statistic = 0.014(from 2nd table column labelled "Sig.")
Since the p-value is less than alpha the significance level, we can reject null hypothesis and conlude there is a significant relationship.

ANOVA test are used to find if there is a statistically significant difference between the groups of a variable, in this case types of milk with respect to time spent studying.

What ANOVA doesnt tell is where the difference lies, that is between which groups or types of milk the difference lies.

If the test shows significant results, all it conveys is there is a difference between atleast one pair of the groups.

Therefore the answer is:
C. There is a significant relationship between the type of milk one drinks and time spent studying. However, without further analysis, we cannot say which milk groups are significantly different from each other in terms of number of hours spent studying.

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