It is believed that students gain weight, on average, during their first year of college. a nutritionist tested this claim, randomly selecting 50 university freshmen and measuring their weight gain during the semester. her hypotheses were h0: μ=0 and ha: μ> 0. she used the 5% level of significance and got a p-value of 0.098. fill in the blanks so as best to express the conclusion of this hypothesis test:

There is insufficient evidence to conclude that college freshmen gain weight during their first year of college.

Step-by-step explanation:

Last part of the question is missing. Full question is:

It is believed that students gain weight, on average, during their first year of college. A nutritionist tested this claim, randomly selecting 50 university freshmen and measuring their weight gain during the semester. Her hypotheses were H0:μ=0 and Ha:μ>0. She used the 5% level of significance and got a P-value of 0.098. Fill in the blanks so as best to express the conclusion of this hypothesis test:

Fill in the blanks so as best to express the conclusion of this hypothesis test: There is [] evidence to conclude that college freshmen [] weight during their first year of college.

1. sufficient 2. insufficient 3. gain 4. do not gain

H0: μ=0 (college freshmen do not gain weight)

Ha: μ>0 (college freshmen gain weight)

Significance level=0.05

P-value=0.098

This is one tailed hypothesis test. Since P-value>Significance level, we fail to reject the null hypothesis. Thus there is not significant evidence that freshmen gain weight during their first year of college at 0.05 significance level.

well there are two answers for that.

1: you need 120 ones then that will equal up to 120.

2: you could also do one 100 and 2 tens.

those are the answers that i have thought of.

it is not that hard all u have to do is plot the graph

step-by-step explanation: