The mean pulse rate for adult males is approximately 61.4 beats per minute. In a sample of 27 overweightmales, the mean pulse rate was 62.1 beats per minute with a standard deviation of 4.19 beats per minute.Test at a =0.10 whether these findings suggest that the mean pulse rate for all such overweight males issignificantly greater than 61.4.You obtain a sample of size 27 with a mean of 62.1 and a standard deviation of 4.19.You believe that the population is normally distributed.(a). The null and alternative hypotheses areO Ho: ữ = 62.1Ha:ữ > 62.1Ho:µ = 61.4Ha: µ > 61.4Ο H0: μ = 61.4На:р < 61.4О Но: д — 62.1На: д > 62.1Part 2 of 4(b). The test statistic is(use 4 decimal places)

Answered: Image /qna-images/answer/cd80a850-fc2f-4978-b290-89d185347b1e.jpg

Answered: The mean pulse rate for adult males is…

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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A student earned a 79 on a precalculus exam, and she earned a 92 on a statistics exam. The precalculus exam had a mean score of 72.3 with a standard deviation of 8.4. On the other hand, the statistics exam had a mean score of 87.4 with a standard deviation of 11.4. Determine which exam the student earned a better score on with respect to her peers.
The amount of Derek's monthly phone bill is normally distributed with a mean of $74 and a standard deviation of $8. What percentage of his phone bills are between $58 and $90? Use the empirical rule to solve the problem
Assume that adults have IQ scores that are normally distributed with a mean of 104.8 and a standard deviation 21.9. Find the first quartile Q1, which is the IQ score separating the bottom 25% from the top75%
On a standardized exam, the scores are normally distributed with a mean of 350 and a standard deviation of 20. Find the z-score of a person who scored 400 on the exam.
An analyst found that the average amount of money in bank accounts at his/her bank is $2,000 with a standard deviation of $150. What would be the variance?
A random sample of 100 observations from a quantitative population produced a sample mean of 28.0 and a sample standard deviation of 6.5. Use the p-value approach to determine whether the population mean is different from 31.
A successful basketball player has a height of 6 feet 11 inches, or 211 cm. Based on statistics from a data set, his height converts to the z score of 5.17. How many standard deviations is his height above the mean?
The gas mileage for a new model of car is normally distributed, with a standard deviation of 3.5 miles per gallon. If only 4% of the cars have a gas mileage of above 20 mpg, what is the mean of the distribution
A sociologist found that in a sample of 45 retired men, the average number of jobs they had during theirlifetimes was 7.2. The population standard deviation is 2.3(a) Find the best point estimate of the mean.The best point estimate of the mean is
A reading class can read an mean of 175 words per minute and a population standard deviation of 20 words per minutes. The top 3% of the class is to receive a special award for a random sample of 49 students. What is the minimum average number of words per minute a student would need to read in order to get the award for a random sample of 49 students? Assume the data is normally distributed.
The salaries of professional baseball players are heavily skewed right with a mean of $3.2 million and a standard deviation of $2 million. The salaries of professional football players are also heavily skewed right with a mean of $1.9 million and a standard deviation of $1.5 million. A random sample of 40 baseball players’ salaries and 35 football players’ salaries is selected. The mean salary is determined for both samples. Let represent the difference in the mean salaries for baseball and football players. Which of the following represents the shape of the sampling distribution for ? skewed right since the populations are both right skewed skewed right since the differences in salaries cannot be negative approximately Normal since both sample sizes are greater than 30 approximately Normal since the sum of the sample sizes is greater than 30

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