Directions: Answer the following questions and solving the following problems for the following context.After medically-supervised obese adults leave a six-month in-patient treatment program of diet and exercise to foster healthy weight loss, these patients are monitored as they transition back into their own homes. Clinical dieticians are curious if there is significant additional weight loss during the next month of home care. A random sample of 16 adults includes the following data, in pounds, which measures their weights immediately upon leaving the in-patient program (pre-test) and again after one month of home maintenance of the weight loss program (post-test). Pre-Test315280350300420380225360Post-Test295285335320400350225340 Pre-Test295360240305310255300360Post-Test280345245320300250305360 At the 5% level of significance, test the claim. [COMMENTS & HINTS: Utilize the test sheet and keep it handy when answering these questions. Note that this is one collection of matched pair data, with 16 pairs. QUESTION 19As a reminder, what is the level of significance in this statistical analysis?Express the answer as a whole percentage with percent symbol.QUESTION 20How does the p-value compare against the level of significance, a, under the corresponding tail of the probability distribution?The p-value is less than or does not exceed the level of significance, (a).The p-value is greater than or exceeds the level of significance, (x).The p-value is equal to the level of significance, (a).It cannot be determined at this time if the p-value is less than, greater than or equal to the level of significance, (a)QUESTION 21What is the technical conclusion to this hypothesis testing?Reject the null hypothesis based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.Marginally reject the null hypothesis based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.Highly reject the null hypothesis based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.Fail to reject the null hypothesis based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.Marginally fail to reject the null hypothesis based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.O Highly fail to reject the null hypothesis based on the available evidence (matched pair samples of size of 16) and testing at the 5% level of significance.QUESTION 22What is the contextual conclusion to this hypothesis testing?It is unreasonable to claim that there is no difference in mean weights from pre-test to post-test, based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.It is marginally unreasonable to claim that there is no difference in mean weights from pre-test to post-test, based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.It is highly unreasonable to claim that there is no difference in mean weights from pre-test to post-test, based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.It is reasonable to claim that there is no difference in mean weights from pre-test to post-test, based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.It is marginally reasonable to claim that there is no difference in mean weights from pre-test to post-test, based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.It is highly reasonable to claim that the mean amount of food purchased is $200, based on the available evidence (sample size of 64) and testing at the 5% level of significance.QUESTION 23How statistically interesting is this finding?It is statistically insignificant and uninteresting.It is marginally statistically insignificant and uninteresting.It is highly statistically insignificant and uninteresting.It is statistically significant and interesting.It is marginally statistically significant and interesting.It is highly statistically significant and interesting.O O O

Question

Directions: Answer the following questions and solving the following problems for the following context.After medically-supervised obese adults leave a six-month in-patient treatment program of diet and exercise to foster healthy weight loss, these patients are monitored as they transition back into their own homes.  Clinical dieticians are curious if there is significant additional weight loss during the next month of home care.  A random sample of 16 adults includes the following data, in pounds, which measures their weights immediately upon leaving the in-patient program (pre-test) and again after one month of home maintenance of the weight loss program (post-test). Pre-Test315280350300420380225360Post-Test295285335320400350225340 Pre-Test295360240305310255300360Post-Test280345245320300250305360 At the 5% level of significance, test the claim.  [COMMENTS & HINTS:  Utilize the test sheet and keep it handy when answering these questions.  Note that this is one collection of matched pair data, with 16 pairs. QUESTION 19As a reminder, what is the level of significance in this statistical analysis?Express the answer as a whole percentage with percent symbol.QUESTION 20How does the p-value compare against the level of significance, a, under the corresponding tail of the probability distribution?The p-value is less than or does not exceed the level of significance, (a).The p-value is greater than or exceeds the level of significance, (x).The p-value is equal to the level of significance, (a).It cannot be determined at this time if the p-value is less than, greater than or equal to the level of significance, (a)QUESTION 21What is the technical conclusion to this hypothesis testing?Reject the null hypothesis based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.Marginally reject the null hypothesis based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.Highly reject the null hypothesis based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.Fail to reject the null hypothesis based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.Marginally fail to reject the null hypothesis based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.O Highly fail to reject the null hypothesis based on the available evidence (matched pair samples of size of 16) and testing at the 5% level of significance.QUESTION 22What is the contextual conclusion to this hypothesis testing?It is unreasonable to claim that there is no difference in mean weights from pre-test to post-test, based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.It is marginally unreasonable to claim that there is no difference in mean weights from pre-test to post-test, based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.It is highly unreasonable to claim that there is no difference in mean weights from pre-test to post-test, based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.It is reasonable to claim that there is no difference in mean weights from pre-test to post-test, based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.It is marginally reasonable to claim that there is no difference in mean weights from pre-test to post-test, based on the available evidence (matched pair samples of size 16) and testing at the 5% level of significance.It is highly reasonable to claim that the mean amount of food purchased is $200, based on the available evidence (sample size of 64) and testing at the 5% level of significance.QUESTION 23How statistically interesting is this finding?It is statistically insignificant and uninteresting.It is marginally statistically insignificant and uninteresting.It is highly statistically insignificant and uninteresting.It is statistically significant and interesting.It is marginally statistically significant and interesting.It is highly statistically significant and interesting.O O O

Accepted Answer

Null Hypothesis: A hypothesis which is tested for plausible rejection is called the Null Hypothesis…

Pre-Test	315	280	350	300	420	380	225	360
Post-Test	295	285	335	320	400	350	225	340