7.Find the p-value for the following scenarios:a)right-tailed z-test with z=2.3(12)b)two-tailed z-test with z=2.3c)left-tailed t-test with r=-2.3 and 16 degrees of freedomd)x* test with X =17.4 with 6 degrees of freedom517 passengers that flew on planes that did not recirculate air, 98 reported post-flight respiratorysymptoms. Out of 583 that flew on planes that did recirculate air, 141 reported post-flightrespiratory symptoms. Is there sufficient evidence to support the claim that more passengershad respiratory symptoms that flew with recirculated air?3.Some airlines recirculate up to 50% of their cabin air in order to increase fuel efficiency. Out of(8)

Answered: Image /qna-images/answer/e4a0b3f7-5cec-4193-9fb4-20051b5016dd.jpg

7. Find the p-value for the following scenarios: a) right-tailed z-test with z=2.3 b) two-tailed z-test with z=2.3 c) left-tailed t-test with t=-2.3 and 16 degrees of freedom d) x test with X² =17.4 with 6 degrees of freedom

7. Find the p-value for the following scenarios: a) right-tailed z-test with z=2.3 b) two-tailed z-test with z=2.3 c) left-tailed t-test with t=-2.3 and 16 degrees of freedom d) x test with X² =17.4 with 6 degrees of freedom

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

An airport official wants to prove that the proportion of delayed flights for Airline A (denoted as p1) is less than the proportion of delayed flights for Airline B (denoted as p2). Random samples for both airlines after a storm showed that 51 out of 200 flights for Airline A were delayed, while 60 out of 200 of Airline B's flights were delayed. The test statistic for this problem is -1.00. The p-value for the test statistic for this problem is: p = 0.0228 p = 0.0668 p = 0.3413 p = 0.1587
What is the critical t score if you are testing a one-tailed hypothesis, α level of .05 with df = 35? Group of answer choices
The effectiveness of surgery for weight loss reported here found that "The surgery was associated with significantly greater weight loss [than the control group who dieted] through 2 years (61.3 versus 11.2 pounds, P<0.001)." What test could have been used and how would it have been computed?
To evaluate the effect of a treatment, a sample of n = 8 is obtained from a population with a mean of μ = 40, and the treatment is administered to the individuals in the sample. After treatment, the sample mean is found to be M = 35. (Use the 4-step procedure to conduct the hypothesis test) If the sample variance is s2 = 32, are the data sufficient to conclude that the treatment has a significant effect using a two-tailed test with α = .05? If the sample variance is s2 = 72, are the data sufficient to conclude that the treatment has a significant effect using a two-tailed test with α = .05? Comparing your answer for parts a and b, how does the variability of the scores in the sample influence the outcome of a hypothesis test?
Q4) Find the p-value for the table above
2. We performed a linear regression using 25 observations. From the regression output we find that bo = 5.7, bị = 12.9, x = 11.4, Sz = 3.2 and MSE = 12.25. a. From the least squares line, what is the predicted response when x* = 10.65? y = b. What is the 95% confidence interval for the mean response when x* = 10.65? c. What is the 95% prediction interval for an individual response when x* = 10.65? d. Which interval is wider? The confidence interval or the prediction interval? O a. Confidence Interval b. Prediction Interval
The test statistic for a left-tailed test is z=-1.42. Solve for the P-value.
To evaluate the effect of a treatment, a sample is obtained from a population with a mean of =40, and the treatment is administered to the individuals in the sample. After treatment, the sample mean is found to be M = 44.5 with a variance of s² = 36. If the sample consists of n = 16 individuals, are the data sufficient to conclude that the treatment has a significant effect using a two-tailed test with a = .05? O For these data, t= 1.50. This value is less than the critical value of 2.131, so we reject the null hypothesis and conclude that there is a significant treatment effect. O For these data, t = 3.00. This value is greater than the critical value of 2.131, so we reject the null hypothesis and conclude that there is a significant treatment effect. O For these data, t = 4.50. This value is greater than the critical value of 2.131, so we reject the null hypothesis and conclude that there is a significant treatment effect. O For these data, t = 1.50. This value is less than the…
What would be the critical value for a left-tailed test with α = 0.01? (Remember to use the z-score table)
According to a survey the percent of high school graduates is 69%. One city wanted to know if the proportion of high school graduates is different from the known national proportion. The city samples 150 citizens to know if the proportion of high school graduates and 98 are graduates. (10 points) State the null and alternative hypotheses. What is the value for the t-test for the proportion? For α = .05 (two-tailed) what is the appropriate p value?
1. A chi-square test was run on the two variables Attitude and Performance. A p-value of 0.035 was noted. State (a) two important properties of the data values found in the columns of the datasheet used (b) the alternative hypothesis (c) the conclusion, which should mention the two variables
Define the Independent t Test for Two Samples and explain what why the word "independence" is used. In addition, come up with two hypothetical examples demonstrating this strategy or come up with "real-world" application using your professional life (i.e. how could you apply this in your work).