Use the technology display to make a decision to reject or fail to reject the null hypothesis at a = 0.05. Make the decision using the standardized test statistic and using the P-value. Assume the sample sizes are equal. Click the icon to view the technology display. Choose the correct answer below. OA. Reject the null hypothesis because the P-value is less than the level of significance. OB. Fail to reject the null hypothesis because the P-value is greater than the level of significance. OC. Reject the null hypothesis because the P-value is greater than the level of significance. OD. Fail to reject the null hypothesis because the P-value is less than the level of significance. - X Technology Output z 2-SampZTest 12 1.023769603 p 0.3059441109 x1 2500 x2-2410 n1-140

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Assume that you plan to use a significance level of a= 0.05 to test the claim that p1 = p2 . Use the given sample sizes and numbers of successes to find the P-value for the hypothesis test.  n1 = 50 x1 = 8 n2 = 50 x2 = 7

Conduct the hypothesis test and provide the test statistic and the critical value, and state the conclusion. A company claims that its packages of 100 candies are distributed with the following color percentages: 15% red, 21% orange, 12% yellow, 14% brown, 24% blue, and 14% green. Use the given sample data to test the claim that the color distribution is as claimed. Use a 0.025 significance level. E Click the icon to view the color counts for the candy in the package. Click here to view the chi-square distribution table. The test statistic is (Round to two decimal places as needed.) The critical value is (Round to three decimal places as needed.) State the conclusion. Ho. There sufficient evidence to warrant rejection of the claim that the color distribution is as claimed. Candy Package Counts Candy Counts Number in Package Color Red 14 Orange 23 Yellow 10 Brown 7 Blue 27 Green 19 Enter vOur C newer in ooe

Conduct the hypothesis test and provide the test statistic and the critical value, and state the conclusion. A company claims that its packages of 100 candies are distributed with the following color percentages: 14% red, 21% orange, 14% yellow, 11% brown, 24% blue, and 16% green. Use the given sample data to test the claim that the color distribution is as claimed. Use a 0.025 significance level. Click the icon to view the color counts for the candy in the package. Click here to view the chi-square distribution table. Į The test statistic is (Round to two decimal places as needed.) The critical value is (Round to three decimal places as needed.) State the conclusion. Ho. There ▼ sufficient evidence to warrant rejection of the claim that the color distribution is as claimed. C Candy Package Counts Color Red Orange Yellow Brown Blue Green Candy Counts Number in Package 14 Print 25 6 9 27 19 Done X

Perform a hypothesis test to determine whether there is a difference in the mean attendance of teams between the two groups created in Part F. Use a 0.05 level of significance in your testing procedures.   Hint: When calculating your pooled sample variance and your test statistic, assume the Top 10 data is sample 1 and the Bottom 10 data is sample 2.   Decision Rule -t <   or  t >   =   REJECT H0 Value of Pooled Sample Variances   Value of test statistic   Decision: enter Reject or Do Not Reject     Is there a difference in the mean attendance between the two groups assuming a 0.05 level of significance? Enter Yes or No.     Another variable that can impact attendance is the team's win-loss record. Teams that are winning more games are thought to have increased attendance as fans prefer to see their home team "win" rather than "lose" (although for some teams such as the Chicago Cubs, this is not always an established relationship!).  Create 2 samples…

The October 2019 Gallup Poll reported the proportion of Republicans, Independents, and Democrats who favor the legalization of marijuana. Here are the results: Step 1: Test Set-Up Step 2. Select the Level of Significance, α A 5 percent significance level is selected. Step 3. State the Null Hypothesis (H0) and Alternate Hypothesis (H1) H0: H1:   Step 4. Compose the Decision Rule Step 5. Calculate the Value of the Test Statistic, p-value, and estimate statistical power (Use G*Power) Use G*Power to calculate statistical power. Use these settings: Test family: z tests Statistical test: Proportion: Difference between two independent proportions Type of power analysis: Post hoc: Compute achieved power – given α, sample size and effect size Step 6. Decide and Report

Need help with 7 a and b.