A one-sample z-test was used to test the following hypotheses: Ho: μ = 47 and H₁ : µ ‡ 47.Select the pair of 95% and 99% confidence intervals (which were based on the z-test) that are consistentwith the following conclusion:There is moderate, but not strong, evidence against the null hypothesis. In fact the population meanappears to be greater than 47.'Select one:O The 95% confidence interval is (17.5, 41.1) and the 99% confidence interval is (13.8, 44.8).The 95% confidence interval is (54.7, 78.3) and the 99% confidence interval is (51.0, 82.0).The 95% confidence interval is (48.4, 72.0) and the 99% confidence interval is (44.7, 75.7).The 95% confidence interval is (32.5, 56.1) and the 99% confidence interval is (28.8, 59.8).The 95% confidence interval is (21.7, 45.3) and the 99% confidence interval is (18.0, 49.0).

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Answered: A one-sample z-test was used to test…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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19. A consumer.research firm reports that the 95% confidence interval for the proportion of consumers who prefer brand K tissue is 0.38 ± 0.04. If the research firm also conducts a significance test of the null hypothesis Ho:p = Po against the alternative Ha:p# Po, which of the following statements must be %3D true? (A) If po = 0.35, then the null hypothesis will be rejected at the a = 0.05 significance level. (B) If po = 0.35, then the null hypothesis will be rejected at the a = 0.01 significance level. %3D (C) If po = 0.38, then the null hypothesis will be rejected at the a = 0.05 significance level. (D) If Po = 0.38, then the null hypothesis will be rejected at the a= 0.01 significance level. (E) If Po = 0.43, then the null hypothesis will be rejected at the a= 0.05 significance level.
Assume we wish to test to see if the mean starting salary of statistics professors is different than the mean starting salary of biology professors: Let Ho: µStat = µBio versus Ha: µStat µBio at the alpha = .05 level of significance and we found the following 95% confidence interval: (126, 610) for µStat - µBio. We would reject Ho. We would Fail to Reject Ho. We would reject Ho based on a 90% confidence interval. We would fail to reject Ho based on a 90% confidence interval. Assume that we use the same sample to construct the 90% confidence interval. Please pick a choice from the following 4 options.
Suppose that you are testing the following hypotheses: Ho: p = .80 and Ha: p # .80. You calculate a test statistic value of z = -6.08. True or False: At a 95% confidence level, which is alpha = .05, you should reject the null hypothesis. True False
Given two independent random samples with the following results: n1=12x‾1=73s1=27n1=12x‾1=73s1=27 n2=12x‾2=102s2=22n2=12x‾2=102s2=22 Use this data to find the 95%95% confidence interval for the true difference between the population means. Assume that the population variances are equal and that the two populations are normally distributed. Step 1 of 3 : Find the point estimate that should be used in constructing the confidence interval.
You wish to test the claim that the average IQ score is less than 100 at the .10 significance level. You determine the hypotheses are: Ho: μ=100Ho: μ=100 H1:μ<100H1:μ<100 You take a simple random sample of 73 individuals and find the mean IQ score is 95.2, with a standard deviation of 15.1. Let's consider testing this hypothesis two ways: once with assuming the population standard deviation is not known and once with assuming that it is known. Round to three decimal places where appropriate. Assume Population Standard Deviation is NOT known Assume Population Standard Deviation is 15 Test Statistic: t = Test Statistic: z = Critical Value: t = Critical Value: z = p-value: p-value: Conclusion About the Null: Reject the null hypothesis Fail to reject the null hypothesis Conclusion About the Null: Reject the null hypothesis Fail to reject the null hypothesis Conclusion About the Claim: There is sufficient evidence to support the claim that the average IQ…
The U.S. Postal Service (USPS) is faced with the issue of a large portion of mail (letters and packages) that cannot be delivered because of an illegible or non-existent address. USPS would like to find out if there is any evidence that the proportion of undeliverable mail has significantly decreased since last year when it was 6%. Which of the following are the correct null and alternative hypotheses for this test? Select one: a. Ho: p = 0.06 versus Ha:p> 0.06 b. Ho: p 0.06 ge Next page Moodle Accessibility Specification Coastal Carolina University (CCU) does not discriminate on the basis of race, color, religion, sex, sexual orientation, genc national origin, age, genetic information, mental or physical disability, or status as a disabled or Vietnam-era veteran in it programs, activities or employment practices. For more information related to discrimination, please contact Title IX, Titl office phone 843-349-2382: FEN email eenarnastal adur or thel Dent of Education office for…
Question 6 Suppose A and B are two events with probabilities: Find the following: a) P(ANB). b) P(A). c) P(Bº). d) P((An B)*). Edit View Insert Format Tools Table 12pt v P(Aª) = .40, P(B) = .25, P(A U B) = .75. ✓ Paragraph BIUAT² : B Q Search V
Consider the following two confidence intervals for B₁: 90% confidence interval: [0.49, 29.51] 95% confidence interval: [-2.29, 32.29] You want to test the null hypothesis that B₁ = 0 against the alternative hypothesis that ß₁ ‡ 0. Which of the following is true? Select all that apply. You reject the null hypothesis at the 5% significance level You fail to reject the null hypothesis at the 10% significance level. You fail to reject the null hypothesis at the 5% significance level You reject the null hypothesis at the 10% significance level
We have a sample size of 36. We wish to test: Ho: m=0 H₁: m>0 -- "one sided" test Our sample: n=36. Y=8.2, s=23.9 Create a confidence interval for our null hypothesis (one sided 95% confidence interval is 1.70
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If we REJECT the null hypothesis H0: μ=50 at the 0.05 significance level, then the 95% confidence interval for μ will NOT contain the value 50. True False

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