Independent samples from two populations are taken, and a t-statistic is used to test the null hypothesis Ho: u1 = u2 against the alternative Ha: u1>u2. The resulting p-value is 0.04.Using the same samples but change the alternative hypothesis to u1 is NOT EQUAL TO u2. What is the new p-value? a) 0.04 b) 0.08 c) 0.05 d) 0.02 e) cannot be determined

Independent samples from two populations are taken, and a t-statistic is used to test the null hypothesis Ho: u1 = u2 against the alternative Ha: u1>u2. The resulting p-value is 0.04.Using the same samples but change the alternative hypothesis to u1 is NOT EQUAL TO u2. What is the new p-value? a) 0.04 b) 0.08 c) 0.05 d) 0.02 e) cannot be determined

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

1. Calculate r2 2. Interpret r2 in the context of this research. How large is this effect (small, medium, large)? 3. Make an statistical decision about the null using alpha =.05. Will you reject or retain the null based on your data? 4. Provide a conclusion of the data using Descriptive statistics and the context of the research.
Test the claim that the proportion of men who own cats is significantly different than 50% at the 0.02 significance level.a.) The null and alternative hypothesis would be: b.) The test is: right-tailed left-tailed two-tailed Based on a sample of 60 men, 59% owned cats c.) The sample proportion ˆp=d.) The test statistic is: (to 2 decimals)e.) At α=α=0.02, the critical value is:± (to 2 decimals)f.) Based on this we: Reject the null hypothesis Fail to reject the null hypothesis
A Chi square test has been conducted to assess the relationship between marital status and church attendance. The obtained Chi square is 7.45 and the critical Chi square is 9.488. What may be concluded? Group of answer choices A.reject the null hypothesis, church attendance and marital status are independent B.fail to reject the null hypothesis, church attendance and marital status are independent C.Reject the null hypothesis, church attendance and marital status are dependent D.fail to reject the null hypothesis, church attendance and marital status are dependent
A law enforcement agent believes that 80% of the drivers stopped on Saturday nights for speeding are under the influence of alcohol. Suspecting that the proportion under the influence may be higher than 80%, a SRS of 140 drivers who were stopped for speeding on a Saturday night was taken. 119 of the drivers in the sample were under the influence of alcohol. The correct set of hypotheses is Group of answer choices Ho: p = 0.80 vs Ha: p = 0.85 Ho: p = 0.80 vs Ha: p > 0.80
If I calculate a z test statistic of 4.84, and my α=0.05, what decision should I make about the hypothesis? (Calculate the p-value for a 2-sided test to make your decision.)
The proportion of defective items is not allowed to be over 12%. A buyer wants to test whether the proportion of defectives in his shipment of 1000 items exceeds the allowable limit. The buyer takes a SRS of 100 items and finds that 19 are defective. State the null and alternative hypotheses for this test. Group of answer choices Ho: p = 0.12 vs Ha: p > 0.12 Ho: p = 0.19 vs Ha: p ≠ 0.12 Ho: p = 0.12 vs Ha: p < 0.19 Ho: p = 0.12 vs Ha: p = 0.19
A large cookie company claims the average amount of sodium per cookie is 200 mg. You suspect that the sodium content is different than that, so you take a random sample of 36 cookies and research the nutritional content. You then conduct a hypothesis test that u = 200 vs. the alternative that u + 200. (a) The standardized test statistic for your sample is 2.7. The P-value would then be: A) 0.9965 B) 0.4983 C) 0.0070 D) 0.0035 Selection: (b) Which would be the correct decision for your hypothesis test? A) Reject Ho B) Do not reject Ho Selection: (C) A Type I Error in this situation would be: A) Concluding that p 200 when in fact u = 200 is true. B) Concluding that u = 200 when in fact p 200 is true. C) Concluding that u = 200 when in fact p = 200 is true. D) Concluding that u 200 when in fact u 200 is true. %3D
A random sample of 500 adult residents of Maricopa County found that 361 were in favor of increasing the highway speed limit to 75 mph, while another sample of 400 adult residents of Pima County found that 292 were in favor of the increased speed limit. Do these data indicate that there is a difference in the support for in increasing the speed limit between the residents of the two counties? Use a = 0.05. (a) Test the hypothesis Ho: P₁ = P2 versus H₁: P₁ P2. What is zo? Round your answer to two decimal places (e.g. 98.76). Zo = (b) Is it reasonable to conclude that there is a difference in the support for increasing the speed limit between the residents of the two counties?
In a random sample of 320 cars driven at low altitude, 40 of them exceeded the standard 10 grams of particulate pollution per gallon of fuel consumed. In another independent random sample of 80 cars driven at high altitude, 20 of them exceeded the standard. Let P 1be the true proportion of cars that exceed the standard in low altitudes and P 2be the true proportion of cars that exceed the standard in high altitudes. What is the test statistic for testing this hypothesis.
Refer to Exercise 8.S.1. Compare the before and after populations using a t test at α = 0.05. Use a nondirectional alternative.
In a lightbulb factory, an administrator selects a random sample of bulbs produced on assembly line A and a random sample of bulbs produced on assembly line B. The administrator calculates the proportion of malfunctioning bulbs produced by each assembly line and finds that the difference between them (A - B) is 0.008. A researcher conducted a hypothesis test with the following hypotheses: H0: The proportion of malfunctioning bulbs from assembly line A is the sample as the proportion of malfunctioning bulbs from assembly line B. HA: The proportion of malfunctioning bulbs from assembly line A is greater than the proportion of malfunctioning bulbs from assembly line B. She found a P-value of 0.016. What is the best interpretation of this P-value? a If there is no difference in the proportions of all defective parts made on the two assembly lines, the probability of observing a difference of at least 0.008 is 0.016. b If there is a difference of 0.016 in the proportions…
Prof. Johnson conducts a hypothesis test on whether the proportion of all UBC students who bike to school (denoted as p)�) equals 30%. Specifically, Prof.Johnson has H0:p=0.3�0:�=0.3 versus HA:p≠0.3��:�≠0.3. He obtains a P�-value of 0.01. On the other hand, Prof. Smith would like to test if there is sufficient evidence to support that p� is greater than 0.3 at the 10% significance level. Based on Prof. Johnson's result, will the null hypothesis of Prof. Smith's test be rejected?A. Yes.B. No.C. There is insufficient information to tell.