It has long been stated that the mean temperature of humans is 98.6°F. However, two researchers currently ivolved in the subect thougnt chat the mean temporature of humans is less than 98.6°F. They measured thetemperatures of 44 healthy adults 1 to 4 times daily for 3 days, obtaining 200 measurements. The sampe data resulted in a sample mean of 98.4°F and a sampie standard deviation of 1°F. Use the P-value approach to conduct ahypothesis test to judge whether the mean temperature of humans is less than 98.6°F at the a= 0.01 level of sign ficanceState the hypotheses98.6°Fv98.6°FFind the test statistic.to =0(Round to two decimal piaces as needed)The P-value is(Round to three decimal places as needed.)What can be concluded?O A. Reject H, since the P-value is not less than the significance level.O B. Do not reject H, since the P-value is not less than the sigrificance level.StatcrunchNextVI 10:10

Answered: Image /qna-images/answer/d702dd3a-2e31-485b-a845-1dc683b05c01.jpg

Answered: It has long been stated that the mean…

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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The warranty on a car battery is 30 months. If the breakdown times of this battery are normally distributed with a mean of 40 months and a standard deviation of 8 months, determine the percent of batteries that can be expected to require repair or replacement under warranty. what % of batteries can be expected to require repair or replacement under warranty. (Round to two decimal places as needed.)
On a measure of running speed on a 100 meter dash, students received timed scores ranging from 12 seconds to 24 seconds. The distribution of running times is normative with a mean of 16 seconds. Transferring this ratio data to standard scores for comparison with the results of classes from other departments, the mean score is assigned a standard score of 100 with a standard deviation of 10. From this example, a standard score of 99 would mean the actual value in seconds for an individual would be about a. 16 b. 12 c. 19 d. 24
I will send the rest of question in a bit because of your guidelines
A non-symmetric dataset has a mean of 200 and a standard deviation of 15. Find an upper bound for the proportion of data points that are either greater than 230 or less than 170.
It has been reported that the variance of the speeds of drivers on the Turnpike near Somerset, PA is 64 for all vehicles. A driver who was pulled over near Somerset on the pike feels that value is incorrect and conducts a 4. survey of speeds. He finds that the standard deviation of 50 vehicles is 10.5 mph. At a 0.05, is the driver correct? %3D
The ages of a group of 138 randomly selected adult females have a standard deviation of 17.5 years. Assume that the ages of female statistics students have less variation than ages of females in the general population, so leto= 17.5 years for the sample size calculation. How many female statistics student ages must be obtained in order to estimate the mean age of all female statistics students? Assume that we want 95% confidence that the sample mean is within one-half year of the population mean. Does it seem reasonable to assume that the ages of female statistics students have less variation than ages of females in the general population? The required sample size is (Round up to the nearest whole number as needed.)
The combined SAT scores for the students at a local high school are normally distributed with a mean of 1469 and a standard deviation of 296. The local college includes a minimum score of 1824 in its admission requirements. What percentage of students from this school earn scores that satisfy the admission requirement?
Based on a sample of 50 US citizens, the American Film Institute found that a typical American spent around 78 hours watching movies. The standard deviation of the sample is 9 hours. Develop a 95% CI for the population mean number of hours spent watching TV last year. Interpret the interval found. How large a sample should be used to be 90% confident that the sample mean is within 1 hour of the population mean?
It is said that a person’s height changes from morning to night, possibility in response to gravity compressing the spinal columns and the joints in the legs. The height of 14 persons (an equal number of men and women) were measured in the morning and at night and it was discovered that the average height in the morning was 1.750 m and 1.735 m. The mean change in height was 1.5 cm with a sample standard deviation of 3 cm. Any height change in the human population is known to be distributed normally. Is it correct to say that the true average change in height from morning to night is 2.5 cm with a significance level of 0.1)?
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