The freshman 15 refers to the urban legend that students gain an average of 15 p

Question

The freshman 15 refers to the urban legend that students gain an average of 15 pounds during their freshman year of college. The weights of 100 freshmen at a certain University were observed in August and then re-examined in May. The claim that the mean difference is equal to 15 pounds is tested at a 0.05 significance level. The result is "fail to reject the null hypothesis".
What do the results suggest? What factors could have affected the results? How can these results be used to make changes on campus?

Comment on your classmates postings by comparing and contrasting your results.

Classmate post:
Null Hypothesis: There is no gain in weight of students during freshman year
Alt Hypothesis: The students gain average 15 pounds weight during freshman year.
The result is "fail to reject the null hypothesis"
The result suggests that at a 95% confidence level we do not have enough evidence to conclude that the mean difference is equal to 15 pounds or students gain an average of 15 pounds during their freshman year of college.
Factors that could have affected the results are:
1) Alpha (Significance Level) - A higher significance level (alpha > 0.05) can lead to a different result
2) Sample Size - Sample size of 100 has led to a higher t value and hence a higher p-value
The results basically show that the urban legend is basically not true. The freshman 15 refers to the urban legend that students gain an average of 15 pounds during their freshman year of college. The weights of 100 freshmen at a certain University were observed in August and then re-examined in May. The claim that the mean difference is equal to 15 pounds is tested at a 0.05 significance level. The result is "fail to reject the null hypothesis".
What do the results suggest? What factors could have affected the results? How can these results be used to make changes on campus?

Comment on your classmates postings by comparing and contrasting your results.

Classmate post:
Null Hypothesis: There is no gain in weight of students during freshman year
Alt Hypothesis: The students gain average 15 pounds weight during freshman year.
The result is "fail to reject the null hypothesis"
The result suggests that at a 95% confidence level we do not have enough evidence to conclude that the mean difference is equal to 15 pounds or students gain an average of 15 pounds during their freshman year of college.
Factors that could have affected the results are:
1) Alpha (Significance Level) - A higher significance level (alpha > 0.05) can lead to a different result
2) Sample Size - Sample size of 100 has led to a higher t value and hence a higher p-value
The results basically show that the urban legend is basically not true. The freshman 15 refers to the urban legend that students gain an average of 15 pounds during their freshman year of college. The weights of 100 freshmen at a certain University were observed in August and then re-examined in May. The claim that the mean difference is equal to 15 pounds is tested at a 0.05 significance level. The result is "fail to reject the null hypothesis".
What do the results suggest? What factors could have affected the results? How can these results be used to make changes on campus?

Comment on your classmates postings by comparing and contrasting your results.

Classmate post:
Null Hypothesis: There is no gain in weight of students during freshman year
Alt Hypothesis: The students gain average 15 pounds weight during freshman year.
The result is "fail to reject the null hypothesis"
The result suggests that at a 95% confidence level we do not have enough evidence to conclude that the mean difference is equal to 15 pounds or students gain an average of 15 pounds during their freshman year of college.
Factors that could have affected the results are:
1) Alpha (Significance Level) - A higher significance level (alpha > 0.05) can lead to a different result
2) Sample Size - Sample size of 100 has led to a higher t value and hence a higher p-value
The results basically show that the urban legend is basically not true. Null Hypothesis: There is no gain in weight of students during freshman year
Alt Hypothesis: The students gain average 15 pounds weight during freshman year.
The result is "fail to reject the null hypothesis"
The result suggests that at a 95% confidence level we do not have enough evidence to conclude that the mean difference is equal to 15 pounds or students gain an average of 15 pounds during their freshman year of college.
Factors that could have affected the results are:
1) Alpha (Significance Level) - A higher significance level (alpha > 0.05) can lead to a different result
2) Sample Size - Sample size of 100 has led to a higher t value and hence a higher p-value
The results basically show that the urban legend is basically not true.

Explanation / Answer

1.

As claim was the mean difference is equal to 15 Pounds ,in result "fail to reject the null Hypothesis" hence this result suggest that the mean difference in load is equal to 15 Pounds.

2.

factors that affected the result:

a) sample size b) level of significance c) sample biasedness

3.

as result suggest that on average freshmen gain weight of 15 Pound in their first year so campus should run sports program so that student work out and they will not gain weight.

4.

Null and Alternative Hypothesis are wrong

Correct hypothesis is

Null:The mean difference in load is equal to 15

Alternative: Mean difference in load is not equal to 15

result shows that Urban legend is true

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