A recent study claimed that at least 15% of junior high students are overweight. In a sample of 160 students, 18 were found to be overweight. At a = 0.05, test the %3D claim. Step 1) State the null and alternative hypotheses. Step 2) Determine the critical value for the level of significance, a. Step 3) Find the test statistic or P-value. Step 4) Will the researcher reject the null hypothesis or do not the null hypothesis? Step 5) Write the conclusion.

A recent study claimed that at least 15% of junior high students are overweight. In a sample of 160 students, 18 were found to be overweight. At a = 0.05, test the %3D claim. Step 1) State the null and alternative hypotheses. Step 2) Determine the critical value for the level of significance, a. Step 3) Find the test statistic or P-value. Step 4) Will the researcher reject the null hypothesis or do not the null hypothesis? Step 5) Write the conclusion.

Name: A recent study claimed that at least 15% of junior high students are
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: A recent study claimed that at least 15% of junior high students are overweight. Ina sample of 160 students, 18 were found to be overweight. At a = 0.05, test theclaim.Step 1) State the null and alternative hypotheses.Step 2) Determine the critical

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

The p-value for a hypothesis test turns out to be 0.00857. At a 8% level of significance, what is the proper decision? Reject H0H0 Fail to reject H0
(c) Calculate the test statistic. d) Decide whether to reject or fail to reject the null hypothesis. Then interpret the decision in the context of the original claim.
The p-value for a hypothesis test turns out to be 0.09484. At a 2% level of significance, what is the proper decision? Reject H0H0 Fail to reject H0
A newspaper publisher believes that over 47% of their readers own a Rolls Royce. For marketing purposes, a potential adveriser wants to confirm this claim. After performing a test at the 0.02 level of significance, the advertiser failed to reject the null hypothesis. What is the conclusion regarding the publisher's claim? (Choose A or B) A. There is sufficient evidence at the 0.02 level of significance that the percentage is over 47%. B. There is not sufficient evidence at the 0.02 level of significance to say that the percentage is over 47%.
A newsletter publisher believes that less than 68 % of their readers own a Rolls Royce. For marketing purposes, a potential advertiser wants to confirm this claim. After performing a test at the 0.05 level of significance, the advertiser failed to reject the null hypothesis. What is the conclusion regarding the publisher's claim?
Suppose your null hypothesis is that engineering majors earn more than $80,000. Further, researchers collect and analyze sample data that leads them to fail to reject this null hypothesis. However, in the population, it is true that engineering majors earn less than $80,000. What would we call this error? a. Type I error b. Type II error c. No error occured d. Error equal to the level of significance
A newsletter publisher believes that 29% of their readers own a laptop. Is there sufficient evidence at the 0.05 level to refute the publisher's claim? State the null and alternative hypothesis for the above scenario
A newsletter publisher believes that over 62%62% of their readers own a Rolls Royce. For marketing purposes, a potential advertiser wants to confirm this claim. After performing a test at the 0.020.02 level of significance, the advertiser decides to reject the null hypothesis. What is the conclusion regarding the publisher's claim?
(b) Use technology to find the P-value. (c) Decide whether to reject or fail to reject the null hypothesis. (d) Interpret the decision in the context of the original claim.
A newsletter publisher believes that less than 44 % of their readers own a Rolls Royce. For marketing purposes, a potential advertiser wants to confirm this claim. After performing a test at the 0.05 level of significance, the advertiser decides to reject the null hypothesis. What is the conclusion regarding the publisher's claim?
The percentage of complete passes is an important measure for a quarterback in the NFL. A particular quarterback has a career completion percentage of 55%. The quarterback got a new coach and then played a few games where he completed 48 of 100 passes. a. Specify the null and alternative hypotheses to determine whether the proportion of completed passes has decreased with the new coach. b. Calculate the value of the test statistic and the p-value. c. At the 5% significance level, can you conclude that the quarterback's completion percentage has decreased? How do I solve this in excel?