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Calculiie te: test statistic (Hint: Report to two decimal positions )Make decision regarding thc null hypothesis Type Retain or Reject in the box below:Calculate e...

Question

Calculiie te: test statistic (Hint: Report to two decimal positions )Make decision regarding thc null hypothesis Type Retain or Reject in the box below:Calculate estlmated Cohen's dto measure the size ofthe elfect (H int: Report to two decimal positions )

Calculiie te: test statistic (Hint: Report to two decimal positions ) Make decision regarding thc null hypothesis Type Retain or Reject in the box below: Calculate estlmated Cohen's dto measure the size ofthe elfect (H int: Report to two decimal positions )



Answers

Consider a hypothesis test for two population proportions with the null hypothesis $H_{0}: p_{1}=p_{2} .$ What parameter is being estimated by the a. sample proportion $\hat{p}_{1} ?$ b. sample proportion $\hat{p}_{2} ?$ c. pooled sample proportion $\hat{p}_{\mathrm{p}} ?$

When you take a sample or samples, those samples are used to estimate your population proportions. So when you have when you get an uh sample proportion from group one, that's going to estimate the population proportion. Mhm. From your first population or from your first group. Mhm. Yeah. And then your, he had to estimates the population proportion of group two or your second population. And then PLP is your your pooled sample proportion or combining your two P. Hats together. Which is going to estimate the combined population proportion of both groups? You should go. Mhm.

So in this question were given data from a T. I 84 plus calculator, and the data is basically testing a one tailed hypothesis that mu one is more than Mutu's are. No hypothesis is that you want. It's less than or equal to me to the Z value given here. ISS 1.942 The P value that's given ISS approximately 0.261 We have the sample means, and we're told that the sample sizes are the same and were asked to use Z value and the P value to decide whether to reject or except the now hypothesis at the level of significance off Alfa. So we see here that RPI value 0.261 is more than Alfa off point or one. So using RPI value, we will reject, so we hope, feel to reject that now hypothesis. So that's using just the P value, not enough evidence at the 99% significance level. Now the Z value here is 1.942 and our critical see value at 0.99 confidence is 2.5 75 So since are the value here is less than our critical devalue again. We fail to reject the null hypothesis because there is not enough evidence at the 99% significant level, so we accepted.

Number 12 on the graph. The rejection reason is to the left off 8.5 or seven and to the right off 22.3 or seven. So the null hypothesis should be rejected for the values smaller than 8.547 and larger than 22.3 or seven. So for a we say that we seen we fail to reject than our hypothesis would be were inject the hypothesis for seeing we also reject the hypothesis for D. We failed to reject that are in high places.

11 on the graph. The rejection reason is to the right. Okay, off 6.251 So the long hypothesis should be rejected for venues uh, larger than 6.25 warning so we can see that for which we failed toe reject. I'm not hypothesis. We're good to be. We also fail to reject. Another hypothesis is for questions. See, we also failed to reject the null high processes for which in B and this is the only one that we can inject Colonel, high process.


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