You wish to test the following claim π1>π2 at a significance level of 0.002.       Ho:π1=π2       Ha:π1>π2 You obtain 90.6% successes in a sample of size n1=415 from the first population. You obtain 83.8% successes in a sample of size n2=414 from the second population. Use the Theory-based inference applet to conduct this test of significance. (a)  What is the z-score for this sample?       z-score =   (Report answer accurate to two decimal places.) (b)  What is the p-value for this sample?       p-value =   (Report answer accurate to four decimal places.) (c)  The p-value is... less than (or equal to) α   greater than α     (d)  This p-value leads to the following conclusion: we have statistically significant evidence to support the alternative hypothesis the null hypothesis is true the null hypothesis is plausible the alternative hypothesis is true   (e)  As such, the final conclusion is that... We conclude that the first population proportion is equal to the second population proportion. We conclude that the first population proportion is greater than the second population proportion. We have statistically significant evidence that the first population proportion is greater than the second population proportion. It is plausible that the first population proportion is equal to the second population proportion.

Imagine you are doing a Related-Samples t-test, and you are on Step Four of the hypothesis test.  The study you are doing is testing whether there’s a significant difference between the anxiety of people before and after a final exam.  The APA sentence is t(28) = 3.45, p < .05, d = 1.05.  What is the correct set of conclusions that goes with this APA sentence?   Group of answer choices   Reject the H0, conclude that there IS a difference in anxiety, conclude based on effect size that the difference is small. Fail to Reject the H0, conclude that there IS a difference in anxiety. Reject the H0, conclude that there IS NOT a difference in anxiety, conclude based on effect size that the difference is small. Fail to Reject the H0, conclude that there IS NOT a difference in anxiety. Reject the H0, conclude that there IS a difference in anxiety, conclude based on effect size that the difference is large.

You are conducting a hypothesis test where alternative (research) hypothesis is that mu is greater than 850. You are testing at the 0.01 significance level. You take a sample of size 64 and calculate your test statistic to be -1.50. What would your test statistic be if you were testing, instead, at the 0.10 significance level?

Looking at youth depression scores from a general sample of random children in the US, we want to determine if our sample is significantly different than the national average of scores of children with depression in the US. The national average of scores on a measure of depression is 5 points. We have no reason to assume it will be higher or lower than the US national average. The sample:  11 9 12 3 3 4 13 1. What is the null and alternative hypotheses? Do not specify any directionality. 2. What did you discover (using 95% Cl)? Provide an interpretation.

You wish to test the following claim π1<π2 at a significance level of 0.002.       Ho:π1=π2       Ha:π1<π2 You obtain 68% successes in a sample of size n1=618 from the first population. You obtain 74.7% successes in a sample of size n2=383 from the second population. Use the Theory-based inference applet to conduct this test of significance. (a)  What is the z-score for this sample?       z-score =   (Report answer accurate to two decimal places.) (b)  What is the p-value for this sample?       p-value =   (Report answer accurate to four decimal places.) (c)  The p-value is... less than (or equal to) α   greater than α     (d)  This p-value leads to the following conclusion: we have statistically significant evidence to support the alternative hypothesis the null hypothesis is true the null hypothesis is plausible the alternative hypothesis is true   (e)  As such, the final conclusion is that... We conclude that the first population proportion is equal to the…

You wish to test the following claim (H) at a significance level of a = 0.001. Ho: P₁ ≤ P2 Ha: P₁ P2 You obtain 194 successes in a sample of size n₁ in a sample of size n₂ = 365 from the second population. - test statistic = p-value = 240 from the first population. You obtain 273 successes [three decimal accuracy] [three decimal accuracy]

Imagine that you found that participants in the jelly bean condition had an average acne score o  and your significance level was .041.  Because your signifinace level is lEss than .05  you reject the null hypothesis. Result #2  imagine that you found that the participants in the jelly bean condition had an average acne score of   and your significance level was .00. Because your significance level is less than .05  you reject the null hypothesis. You also note that this result suggest a bigger effect size(30verus10  on your dependant variable).  What is the ma in difference between the two scenarios?

You wish to test the following claim that π1<π2 .  You use a significance level of 0.005.       Ho:π1=π2       Ha:π1<π2 You obtain 50 successes in a sample of size n1=713 from the first population. You obtain 37 successes in a sample of size n2=313 from the second population. Use the Theory-based inference applet to conduct this test of significance. (a)  What is the z-score for this sample?       z-score = (Report answer accurate to two decimal places.)  (b)  What is the p-value for this sample?       p-value =   (Report answer accurate to four decimal places.) (c)  The p-value is... less than (or equal to) α   greater than α     (d)  This p-value leads to the following conclusion: we have statistically significant evidence to support the alternative hypothesis the null hypothesis is true the null hypothesis is plausible the alternative hypothesis is true   (e)  As such, the final conclusion is that... We conclude that the first population proportion is equal to…

You wish to test the following claim (H) at a significance level of a = 0.001. H₂: P₁ = P2 Ha: P₁ P2 You obtain 61.9% successes in a sample of size ₁ = 423 from the first population. You obtain 53.1% successes in a sample of size n₂ = 531 from the second population. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value= The p-value is... less than (or equal to) a greater than a This test statistic leads to a decision to... O reject the null accept the null O fail to reject the null As such, the final conclusion is that... O There is sufficient evidence to warrant rejection of the claim that the first population proportion is not equal to the second population proprtion. There is not sufficient evidence to warrant rejection of the claim that the first population proportion is not equal to the second population proprtion. The sample data…