You wish to test the following claim (Ha) at a significance level of a = 0.001. For the context of this problem, d = PostTest PreTest where the first data set represents a pre-test and the second data set represents a post-test. (Each row represents the pre and post test scores for an individual. Be careful when you enter your data and specify what your μ₁ and ₂ are so that the differences are computed correctly.) Ho: μd = 0 Ha: Md 0 You believe the population of difference scores is normally distributed, but you do not know the standard deviation. You obtain the following sample of data: pre-test post-test 43 44.8 48.1 52.8 60.8 37.8 39.2 51.6 69.6 53 42.4 55.4 51.6 49.6 55.7 51.8 61.3 34.6 49.2 53.7 56.7 42.4 64.4 -23.8 34.4 9.4 24.8 106.5 -105 82.8 72.8 107 61.7 -26.1 21.7 32.1 -19.9 61.6 69.4 -56.1 4.5 9 -1.3 27.4 What is the test statistic for this sample? test statistic = (Report answer accurate to 4 decimal places.) What is the p-value for this sample? p-value = (Report answer accurate to 4 decimal places.)

A clinical trial tests a method designed to increase the probability of conceiving a girl. In the study 666 babies were born, and 333 of them interval estimate of the percentage of girls born. Based on the result, does the method appear to be effective? < p < (Round to three decimal places as needed.) n example Get more help - h

The critical boundaries for a hypothesis test are z = +1.96 and -1.96. If the z-score for the sample data is z = -1.90, what is the correct statistical decision?​

When is it appropriate to use a pooled sample test?

Identify the type I error and the type II error that correspond to the given hypothesis.   The percentage of households with Internet access is greater than 60%.

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40 people are randomly sent to walk one of four trails. The time (in minutes) they spend completing each trail is recorded in the table below. (a) Test to see if the times needed to complete a trail vary. Use a 0.05 significance level. (b) Test each pair (A/B, A/C, A/D, B/C, B/D, C/D) to see which trails have a statistically significant difference. Indicate your p-value for each comparison, and when the effect is statistically significant (use 0.05 as your significance level), declare which trail of the two takes more time to complete. Trail A - 30, 33, 41, 27, 36, 31, 37, 40, 29, 35 Trail B - 27, 33, 38, 41, 40, 38, 35, 44, 41, 39 Trail C - 25, 34, 41, 39, 32, 30, 36, 35, 27, 33 Trail D - 41, 39, 46, 37, 40, 42, 50, 42, 50, 33, 47, 43

A random sample of employees participating in a company fitness program were asked how many days they logged an exercise activity in the past month. Their responses are reported in the histogram below.Based on the histogram above, what is the class width? Clas width = ? Days What is the sample size? Sample size = ? employees

Explain how sample size can influence the outcome of a hypothesis test.

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