A Moving to another question will save this response.Question 1
When n1 = 7, n2 = 6, and alpha = 0.01, find the two-tailed U-table value
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You are studying mammorary gland tumor suppression in mice. You induce tumor growth and then measure tumor size 2-weeks post induction. At 2-weeks, you begin treatment to shrink the tumor. Then you measure tumor size again at 6-weeks post tumor induction (4-weeks post treatment). Here are some data and summary statistics. Please perform a paired t-test for these data.
2 Weeks
6 Weeks
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Question 12
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563
480
503
450
537
518
417
387
389
ybar = 449.6
sd = 72.41
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-45
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-116
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dbar = -71
sd = 26.77
Please write your response with labels corresponding to each portion of the question. Also, be sure to show your work where applicable.
A. (2 points) Write out your hypotheses HO and H1
ybar = 520.6
sd = 63.65
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C. (8 points) Write out the 4 assumptions of a t-test (4 pts) and whether each assumption is met in this case (4 pts). Please assume that normality is met
D. (10 points) Perform the test to calculate t*
E. (5 points) Find the t-table value.
F. (5 points) Write your statistical conclusion
G. (5 points) Write a conclusion that the public would understand
For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac).
B. Choose alpha = 0.05
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The National Center for Health Statistics (NCHS) is studying the average weight gain for pregnant people from conception to delivery. They are testing H¸: μ= 30 lbs. If the NCHS fails to find enough evidence to reject Ho, interpret their statistical result in a way that the public would understand.
For the toolbar, press ALT+F10(PC)or ALT+FN+F10 (Mac).
Click Submit to complete this assessment.
Question 14
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Question 10
The CDC is studying the average percentage of people vaccinated for COVID in each county. They are testing Ho: μ=67. If the CDC fails to find enough evidence to reject Ho, what type of hypothesis testing error could they have made? Define this type of error in a sentence.
O a. They could have made a type I (alpha) error. A type I error is when we fail to reject a false HO.
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O b. They could have made a type II (beta) error. A type II error is when we fail to reject a false HO.
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O c. They could have made a type II (beta) error. A type II error is when we reject a true HO.
O d. They could have made a type I (alpha) error. A type I error is when we reject a true HO.
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