A professional rock climber claims that he can climb a particular mountain within half an hour. From a random sample of 25 attempts, the rock climber averaged 30.5 minutes with a standard deviation of 3.9 minutes. Is there sufficient evidence to suggest that the climber's claim is incorrect at a significance level of 10 percent? Apply the P- value approach.

A professional rock climber claims that he can climb a particular mountain within half an hour. From a random sample of 25 attempts, the rock climber averaged 30.5 minutes with a standard deviation of 3.9 minutes. Is there sufficient evidence to suggest that the climber's claim is incorrect at a significance level of 10 percent? Apply the P- value approach.

Name: A professional rock climber claims that he can climb aparticular moun
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: A professional rock climber claims that he can climb aparticular mountain within half an hour. From a randomsample of 25 attempts, the rock climber averaged 30.5minutes with a standard deviation of 3.9 minutes. Is theresufficient evidence to suggest

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

Many cheeses are produced in the shape of a wheel. Because of the differences in consistency between these different types of cheese, the amount of cheese, measured by weight, varies from wheel to wheel. Heidi Cembert wishes to determine whether there is a significant difference, at the 10% level, between the weight per wheel of Gouda and Brie cheese. She randomly samples 18 wheels of Gouda and finds the mean is 1.3 lb with a standard deviation of 0.3 lb; she then randomly samples 10 wheels of Brie and finds a mean of 0.95 lb and a standard deviation of 0.21 lb. What is the df and p-value for Heidi's hypothesis of equality? Assume normality. (Give your answer correct to four decimal places.)
Historically, evening long-distance calls from a particular city have averaged 15.1 minutes per call. In a random sample of 37 calls, the sample mean time was 13.3 minutes. Assume the standard deviation is known to be 5 minutes. Using a 0.05 level of significance, is there sufficient evidence to conclude that the average evening long-distance call has decreased?
is there a doctor in the house? A market research firm reported the mean annual earnings of all family practitioners in the United States was $178,258 . A random sample of 47 family practitioners in Los Angeles had mean earnings of x $192,890 with a standard deviation of $43,117 . Do the data provide sufficient evidence to conclude that the mean salary for family practitioners in Los Angeles is greater than the national average? Use the a 0.01 level of significance and the p-value method with the Critical Values for the Student's t Distribution Table. (a) State the appropriate null and alternate hypotheses. (b) Compute the value of the test statistic. (c) State a conclusion.
Previously, an organization reported that teenagers spent 4.5 hours per week, onaverage, on the phone. The organization thinks that, currently, the mean is higher. Fifteenrandomly chosen teenagers were asked how many hours per week they spend on thephone. The sample mean was 4.75 hours with a sample standard deviation of 2.0.At a significance level of a = 0.05, what is the correct conclusion?a. There is enough evidence to conclude that the mean number of hours is more than 4.75b. There is enough evidence to conclude that the mean number of hours is more than 4.5c. There is not enough evidence to conclude that the mean number of hours is more than4.5d. There is not enough evidence to conclude that the mean number of hours is more than4.75
Using traditional methods, it takes 98 hours to receive a basic driving license. A new license training method using Computer Aided Instruction (CAI) has been proposed. A researcher used the technique with 270 students and observed that they had a mean of 97 hours. Assume the standard deviation is known to be 7. A level of significance of 0.1 will be used to determine if the technique performs differently than the traditional method. Is there sufficient evidence to support the claim that the technique performs differently than the traditional method? What is the conclusion?