# You have been given the pre post weight differences

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you have been given the pre-post weight differences for each person (note: treat the difference d i as the measured random variable). 5.7 State the null and alternative hypotheses 𝐻 0 : µ 𝑚 − µ ? 𝑓 = 0 ?? 𝐻 𝑎 : µ ? 5.8 Is this test based on paired sample or independent samples ? (circle 1) Using a pooled estimate, what is the formula for the standard error for the difference between the male and female effects, ? ? ̅̅̅̅ ? ? ̅̅̅ ? What are the degrees of freedom associated with this estimate? ? 𝑚 − µ ? 𝑓 ≠ 0 = √
Set up a 90% confidence interval for µ ? ? µ ? ? . You may leave the answer in terms of fractions or decimals, you do not need to solve for the numerical values. 5.12 (2pts) Formula for the 90% CI: (? ? ̅̅̅̅ ? ? ̅̅̅ ) ± ? 0.05 (118) ∗ ?. ?. ?????? or (? ? ̅̅̅̅ ? ? ̅̅̅ ) ± ? 0.95 (118) ∗ ?. ?. ?????? 5.13 (2pts) With plug in values : (−5 − 10) ± 1.66 ∗ (50 − 1)10 2 + (70 − 1)15 2 50 + 70 − 2 1 50 + 1 70 5.14 If we want to reduce the width of the confidence interval, we would (circle the correct answer) increase / decrease the confidence level increase / decrease the sample sizes
Practice Final 10 Problem 6 Regression Your colleagues have collected some data on the relationship between the time per day that individuals spend cooking their food (in hours) and the calories per day that people eat. Your goal is to determine if there is a relationship between the variables. Your colleagues are using time spent cooking as the independent variable. Fill out the rest of this ANOVA table with numbers (cells to fill out are shaded) 16 Total (6.4) 320 + 64 = 384 21
6.7 How many observations are there in the data set?
6.8 Which test statistic do we use as a general test for model significance in this case? (circle one)
6.10 Would you accept or reject the null hypothesis that there is no relationship between cooking and caloric intake?
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