What is the relationship between confidence intervals and hypothesis testing? When testing H:µ=µ, versus H, : µ#Ho, if a 90% confidence interval does not contain uo, we reject v H at the -10 level.
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A: For sample 1:sample size (n1)= 400sample proportion p1^ = 0.53For sample 2:sample size (n2)=…
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A: Given: n1=400n2=300 p1¯= 0.48p2¯= 0.32
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A: Sample 1 Sample 2 n1 = 50 n2 = 25 x1 = 13.6 x2 = 11.6 X1 = 2.3 X2 = 3
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A: Confidence interval is an estimation technique is statistics.
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A: Given datan=25se=2.50∑(x-x¯)2=250.12b1=2.15c.i=98%
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- In the 2015 AFC championship game, there was a charge the New England Patriots underinflated their footballs for an advantage. The balls should be infilated to between 12.5 and 13.5 pounds per square inch. The accompanying data consists of eleven of the twenty-two measurements on the Patriots' footballs. Complete parts a and b. 11.50 11.00 11.85 11.35 11.15 11.60 11.55 11.10 11.95 10.70 12.30 ..... a. Test the hypothesis that the population mean is less than 12.5 psi using a significance level of 0.05. State clearly whether the Patriots' footballs are underinflated or not. Assume the conditions for a hypothesis test are satisfied. Determine the null and alternative hypotheses. Choose the correct answer below. O A. Ho: u= 12.5 H3: p# 12.5 О В. Но и-125 H3: u> 12.5 OC. H,: µ# 12.5 H3: u= 12.5 O D. Ho: u= 12.5 H3: u 12.5 H3: us 12.5 O F. H, H< 12.5 H3: µ2 12.5 The test statistic is (Round to two decimal places as needed.) The p-value is (Round to three decimal places as needed.) Interpret…Match to the appropriate answer. You will not use all options and you may not use each option more than once. 1 Dummy variable 2 Coefficient (beta) 3 Correlation coefficient 4 Heteroscedasticity 5 p-value 6 R2 7…Suppose that you run a Regression Model and the Regression Coefficient for X has an associated p-value of 0.0070. At the 99% Confidence Level, is X significant? Enter a 1 into the blank below if X is significant and a O if it is not.
- The summary statistics for a certain set of points are: n= 25, s, = 2.50, E (x-x)¯= 250.12, and b, = 2.15. Assume the conditions of the linear model hold. A 98% confidence interval for B, will be constructed. Part 1 of 4 How many degrees of freedom are there for the critical value? The degrees of freedom for the critical value are 23 Part 2 of 4 What is the critical value? Round the answer to three decimal places. The critical value is 2.500 Part: 2 / 4 Part 3 of 4 What is the margin of error? Round the answer to three decimal places. Margin of error =Find the critical value zα/2 needed to construct a(n) 98.3% confidence interval.You may need to use the appropriate appendix table or technology to answer this question. Consider the following results for independent samples taken from two populations. Sample 1 Sample 2 n1 = 400 n2 = 300 p1 = 0.49 p2 = 0.32 (a) What is the point estimate of the difference between the two population proportions? (Use p1 − p2. ) (b) Develop a 90% confidence interval for the difference between the two population proportions. (Use p1 − p2. Round your answer to four decimal places.) to (c) Develop a 95% confidence interval for the difference between the two population proportions. (Use p1 − p2. Round your answer to four decimal places.) to
- Can you answer this?Import the data from the Hill City Excel file into Minitab.You are trying to predict Price.Note: Mtn View=1 if there is a mountain view, 0 otherwise. The rest of the variables should be self explanatory. 1.Perform an F Test for overall significance of the model 2.Perform a T test for slope for the age variable 3. Find a 95% confidence interval for the slope of the SqFeet variable4. Create a prediction, CI, and PI for 1 new set of x values (any valid numbers you want), and interpret each.5. Run the residual plots and indicate if they show any problems with the model.the light and build a 95% confidence interval on the proportion of English soccer fans believing that Liverpool will win the 2019-2020 title. If needed, give the exact Excel formula allowing to compute the confidence interval. Question 5 You have a sample of 223 observations about the daily returns of a company called VA and of an index fund called IND. The table below provides some partial results about a simple linear regression in which VA is the dependent variable and IND is the independent variable. The fitted regression model is: VA = bo + bị* IND. Explain and justify clearly your answer to each question. Give the numerical value when possible. Coefficient Standard Error Upper 95% Test Estimate Statistic Lower 95% Intercept 0.0000584 Q1 0.052 -0.0021549 Q3 Slope 92 0.0555300 30.581 오4 1) What is the value that should appear in the cell with the label Q1? 2) What is the value that should appear in the cell with the label Q2? 3) What is the value that should appear in the cell with…
- You may need to use the appropriate appendix table or technology to answer this question. The following results come from two independent random samples taken of two populations. Sample 1 Sample 2 n1 = 60 n2 = 25 x1 = 13.6 x2 = 11.6 ?1 = 2.4 ?2 = 3 (a) What is the point estimate of the difference between the two population means? (Use x1 − x2.) (b) Provide a 90% confidence interval for the difference between the two population means. (Use x1 − x2. Round your answers to two decimal places.) to (c) Provide a 95% confidence interval for the difference between the two population means. (Use x1 − x2. Round your answers to two decimal places.) toA. True or False? A researcher compares the BMI of two populations of individuals from different socioeconomic backgrounds and finds that the proportion of individuals considered obese and from a poor background is .37 (n = 112), and the proportion of individuals considered obese and from an affluent background is .27 (n = 87); a 95% confidence interval for the risk difference for obesity among members of the poor population compared to the affluent population is (-0.03, 0.23). B. Why is it true or false?What is the 90% confidence interval for the slope of square footage?