From the table on the image:  Construct an appropriate hypothesis test to determine whether or not there is an association between experiencing phenomena such as seeing a ghost and the age group you are in. Write the appropriate null/alternative hypothesis and carry out the test. Use a significance level of α = 0.01.

For the following hypothesis, please state the IV and DV: “The gender of the interviewer has an effect on the interviewee’s anxiety levels (low, medium, high).” The IV is  The DV is

You wish to test the following claim (Ha) at a significance level of a = 0.10. Ho:p > p2 Ha: P₁ P2 You obtain a sample from the first population with 284 successes and 12 failures. You obtain a sample from the second population with 774 successes and 6 failures. The p-value is... less than (or equal to) a greater than a test statistic = p-value = This test statistic leads to a decision to... reject the null hypothesis O fail to reject the null hypothesis [three decimal accuracy] [four decimal accuracy]

..v.p.v.v.

You are conducting a study to see if the proportion of voters who prefer Candidate A is significantly different from 68% at a significance level of α= 0.01. According to your sample, 45 out of 63 potential voters prefer Candidate A. a.The test statistic = (please show your answer to 3 decimal places.) b.The p-value = (Please show your answer to 4 decimal places.)

SS = 749.5 %3D SS = 830 %3D a. Use a one-tailed test with a = .05 to determine whether these data are sufficient to conclude that high-creativity people are more likely to cheat than people with lower levels of creativity.

Conduct a hypothesis test with a 5% level of significance to determine whether or not the operative time and the length of a patient's hospital stay are correlated. Step 1: State the null and alternative hypotheses. Ho:P Ha:p #v (So we will be performing a two-tailed test.) Part 2 of 4 Step 2: Determine the features of the distribution used to test the significance of the correlation coefficient. To test the significance of the correlation coefficient, we will use a t-distribution with 8. degrees of freedom. Part 3 of 4 Step 3: Find the p-value of the point estimate. 0.598 = P(tv 2.1916 P(r 2v 0.6125 p-value: 0.0598 Ouestion Help: D Post to forum

Select the correct answer below:   Reject H0. At the 1% significance level, the test results are not statistically significant and at best, provide weak evidence against the null hypothesis.   Reject H0. At the 1% significance level, the data provide sufficient evidence to conclude that the mean yearly new customers is more than 163 people.   Do not reject H0. At the 1% significance level, the test results are not statistically significant and at best, provide weak evidence against the null hypothesis.   Do not reject H0. At the 1% significance level, the data provide sufficient evidence to conclude that the mean yearly new customers is more than 163 people.

Using the results obtained for a study on website development below, how would we interpret the results of this hypothesis test?  The claim is the percent of customers who abandon a web page due to long load times is less than 52%. The significance level is 0.05. The test statistic is 1.456.  Use the curve below to show your answer. Select the appropriate test by dragging the blue point to a right-, left- or two-tailed diagram.  Then, set the critical value(s) using the purple slider on the right. Set the test statistic by dragging the point on the x-axis. Reject H0. There is strong evidence to conclude that the percent of customers who abandon a web page due to long load times is greater than 52%. Reject H0. There is NOT strong evidence to conclude that the percentage of customers who abandon a web page due to long load times is greater than 52%. Fail to reject H0. There is strong evidence to conclude that the percent of customers who abandon a web page due to long load…

If appropriate, determine the proper conclusion at the 0.05 significance level. Choose the correct answer below. O A. Reject Ho. There is sufficient evidence to support the alternative hypothesis. Gender appears to have an effect on sitting height. OB. Reject Ho. There is sufficient evidence to support the alternative hypothesis. Handedness appears to have an effect on sitting height. OC. Fail to reject Ho. There is insufficient evidence to support the alternative hypothesis. Handedness does not appear to have an effect on sitting height OD. Fail to reject Ho. There is insufficient evidence to support the alternative hypothesis. Gender does not appear to have an effect on sitting height. OE. This test is not appropriate due to the results of the test for interaction between the two factors. If appropriate, test for an effect from the column factor. Choose the correct answer below. O A. Ho Left-handed people and right-handed people have the same population mean sitting height. H₁:…