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- 15% of all Americans suffer from sleep apnea. A researcher suspects that a lower percentage of those who live in the inner city have sleep apnea. Of the 322 people from the inner city surveyed, 42 of them suffered from sleep apnea. What can be concluded at the level of significance of αα = 0.01? For this study, we should use Select an answer z-test for a population proportion t-test for a population mean The null and alternative hypotheses would be: Ho: ? p μ Select an answer > < = ≠ (please enter a decimal) H1: ? μ p Select an answer ≠ > = < (Please enter a decimal) The test statistic ? t z = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is ? > ≤ αα Based on this, we should Select an answer reject accept fail to reject the null hypothesis. Thus, the final conclusion is that ... The data suggest the population proportion is not significantly smaller than 15% at αα = 0.01, so…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…Studies show that the level of anxiety has changed since the pandemic. The average score before the pandemic was mu equal to 36. A sample of 20 individuals surveyed in the past two weeks produced M=37.6 and s=9.8. Based on the sample, was there a significant difference in the average anxiety level since the pandemic started at the 5% significance level? What is the positive critical value? (a)2.093 (b)2.086 (c)1.729 (d)1.725
- You have two (hypothesis) tests with the same significance level α = 0.05 but their powerfunctions are different; the power function of test A is higher than the power function of testB. Which test is your choice? Justify your answer.True or False: Explain Suppose that OLS is unbiased for the following bivariate model: Y = B0 +B1X +u and suppose that the true slope coefficient B1 = 7. If you use the standard t-statistic to test the null hypothesis that the slope coefficient is equal to 0, the probability that you will reject the null hypothesis will increase if you reduce your sample size.A severe storm has an average peak wave beight of 16,4 feet for waves hitting the shore. Suppose that a storm is in progress with a severe storm class rating. Let us say that we want to set up a statistical test to see if the wave action (i.e., height) is dying down or getting worse. If you wanted to test the hypothesis that the waves are dying down, what would you use for the alternate hypothesis? Is the P-value area on the left, right, or on both sides of the mean? O H:a is less than 16.4 feet; the P-value area is on the left of the mean O H:u is less than 16.4 feet; the P-value area is on the right of the mean O H: u is greater than 16.4 feet; the P-value area is on the right of the mean OH:u is not equal to 16.4 feet: the P-value area is on the left of the mean OH : u is not cqual to 16.4 feet; the P-value area is on the right of the mean
- Q410% of all Americans suffer from sleep apnea. A researcher suspects that a lower percentage of those who live in the inner city have sleep apnea. Of the 369 people from the inner city surveyed, 22 of them suffered from sleep apnea. What can be concluded at the level of significance of αα = 0.01? For this study, we should use Select an answer t-test for a population mean z-test for a population proportion The null and alternative hypotheses would be: Ho: ? μ p Select an answer = < ≠ > (please enter a decimal) H1: ? μ p Select an answer > ≠ < = (Please enter a decimal) The test statistic ? z t = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is ? > ≤ αα Based on this, we should Select an answer reject accept fail to reject the null hypothesis. Thus, the final conclusion is that ... The data suggest the population proportion is not significantly smaller than 10% at αα = 0.01, so…Captopril is a drug designed to lower systolic blood pressure. When Subjects were tested with this drug, their systolic blood pressure readings (in mm Hg) were measured before and after the drug was taken, with the results below. Use the Wilcoxon signed ranks test to see if there is sufficient evidence to support the claim that captopril is effective in lowering systolic blood pressure. State the null and alternative hypothesis. The test statistic. The critical value, your decision and conclusion. Subject 1 2 3 4 5 6 7 8 9 10 11 12 Before 200 174 198 170 179 182 193 209 185 155 169 210 After 191 170 177 167 159 151 176 183 159 145 146 177
- 14% of all Americans suffer from sleep apnea. A researcher suspects that a lower percentage of those who live in the inner city have sleep apnea. Of the 359 people from the inner city surveyed, 43 of them suffered from sleep apnea. What can be concluded at the level of significance of αα = 0.05? For this study, we should use Select an answer z-test for a population proportion t-test for a population mean The null and alternative hypotheses would be: Ho: ? μ p Select an answer = ≠ > < (please enter a decimal) H1: ? p μ Select an answer < > = ≠ (Please enter a decimal) The test statistic ? t z = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is ? > ≤ αα Based on this, we should Select an answer reject fail to reject accept the null hypothesis. Thus, the final conclusion is that ... The data suggest the populaton proportion is significantly smaller than 14% at αα = 0.05, so…You are conducting a study to see if the probability of a true negative on a test for a certain cancer is significantly different from 0.53. You use a significance level of a = 0.02. Ho:p = 0.53 H1:p + 0.53 You obtain a sample of size n = 577 in which there are 341 successes. 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... O less than (or equal to) a greater than aBoth, the Cohen's d and confidence interval, measure the impact of the IV on the DV. The only difference is that the confidence interval does so for the population, whereas the Cohen's d does so for the sample.