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Hi, so for this question we are to ask a our classmates a question so my questio

ID: 3371069 • Letter: H

Question

Hi, so for this question we are to ask a our classmates a question so my question was how many hours do you spend streaming? Once colleceted all the data we then need to complete a t-test. I have completed the problem but I'm not sure if I'm doing it right. Please help! Thank you!

Complete a t-test using the data collected during the first week of class (i.e., the question you asked classmates). You can compare groups via gender or major, depending on your hypothesis. For example, as I mentioned, last year an MLS student asked his classmates how many times they had seen Star Wars. He hypothesized that there was a significant difference between MLS and DEHS students, so he compared those two groups.

What type of inferential test should you use and why?

Using the A-B-C-D (A: Data summary B: Set up Hypothesis C: Test Statistic D: Test Hypothesis and draw conclusion) format demonstrated in class, test the null hypothesis. (Use ? = .05)

Here is my data collected. Please check my math!

DEHS MLS

Ale 3 -6.25 39.0625 Jericho 3 -7 49 Megan 4 -8 64 Elexis 9 -9 81 Sarah 20 11.75 138.0625 Amanda 5 -4.16667 17.36111 Aspen 6 3.127719 9.782624 David C 2 -1.02765 1.056065 Christina 10 10 100 Askalu 2 2 4 Yahaire 20 20 400 Samantha G 25 25 625 Francesca 4 4 16 Candice 25 25 625 Maribel 10 10 100 Anahy 10 10 100 Ashley 20 20 400 Kevin 10 10 100 Rebecca 8 8 64 Zachary M 10 10 100 Priscilla 2 2 4 Francisco 3 3 9 Elissa 4 4 16 Miquel 10 10 100 Jessica 5 5 25 Sum 111 78.62772 1350.908 Zachary P 14 14 196 Average 9.25 Jennifer S 25 25 625 n 12 12 12 Marco 3 3 9 Variance 8.25 Alejandra 2 2 4 s: 2.872281 Jennifer R 20 20 400 SUM: 183 142.8057 3070.417 Average: 10 n 18 18 18 Variance 9.166667 s: 3.02765

Explanation / Answer

We have given two groups which are DEHS and MLS.

Suppose we compare first column of both groups then data will be :

Here we have to test the hypothesis that,

H0 : mu1 = mu2 Vs H1 : mu1 not= mu2

where mu1 and mu2 are two population means of dehs and mls.

Assume alpha = level of significance = 0.05

We can do here two sample t-test assuming equal variances.

We can do two sample t-test in excel.

steps :

ENTER data into excel sheet --> Data --> Data analysis --> t-test : Two sample assuming equal variances --> ok --> Variable 1 range : select dehs column --> Variable 2 range : select mls column --> Hypothesized mean difference : 0 --> Labels --> Output range : select one empty cell --> ok

Test statistic = -0.31

P-value = 0.7556

P-value > alpha

Accept H0 at 5% level of significance.

COnclusion : There is sufficient evidence to say that two population means are equal.

dehs mls 3 3 4 9 20 5 6 2 10 2 20 25 4 25 10 10 20 10 8 10 2 3 4 10 5 14 25 3 2 20
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