Two random samples of 32 individuals were chosen. The average breathing rate of the first sample was 21 breaths perminute after jogging for twenty minutes, and the average breathing rate of the second sample was 19 breaths per minuteafter walking for twenty minutes. If the population standard deviation is 4.2 breaths per minute for jogging and 4.5 breathsper minute for walking, test the claim that the breathing rate for jogging is more than the breathing rate for walking. Assumea = 0.055.Let the breathing rates of joggers represent population 1 and the breathing rate of walkers represent population 2.a.) State the null and alternative hypothesis using correct symbolic form.Ho: 1 → f₂H₁ H12b.) What is the critical value? (round to two decimal places)Z=

Given that Sample sizes n1=32 , n2=32 Sample means X̄1=21 , X̄2=19 ?1 =4.2…

Answered: minute after jogging for twenty…

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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Assume that the readings on the thermometers are normally distributed with a mean of 0 degrees and standard deviation of 1.00degrees C. A thermometer is randomly selected and tested. Draw a sketch and find the temperature reading corresponding to Upper P 95 , the 95 th percentile. This is the temperature reading separating the bottom 95 % from the top 5 %.
Total plasma volume is important in determining the required plasma component in blood replacement therapy for a person undergoing surgery. Plasma volume is influenced by the overall health and physical activity of an individual. Suppose that a random sample of 44 male firefighters are tested and that they have a plasma volume sample mean of x = 37.5 ml/kg (milliliters plasma per kilogram body weight). Assume that ? = 7.50 ml/kg for the distribution of blood plasma. When finding an 99% confidence interval, what is the critical value for confidence level? (Give your answer to two decimal places.) zc = (a) Find a 99% confidence interval for the population mean blood plasma volume in male firefighters. What is the margin of error? (Round your answers to two decimal places.) lower limit upper limit margin of error
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Plz help asap t1.
Let x represent the hemoglobin count (HC) in grams per 100 milliliters of whole blood. The distribution for HC is approximately normal with μ = 14 for healthy adult women. Suppose that a female patient has taken 12 laboratory blood samples in the last year. The HC data sent to her doctor is listed below. We would like to know if the data indicates this patient has significantly high HC compared to the population. 14,19,16,14,19,19,14,21,17,17,14,17 Give the p-value and interpret the results. a) p = 0.0012; Based on 5% significance level, I will reject the null hypothesis and conclude this patient has a high HC level. b) p = 0.0012; Based on 5% significance level, I will fail to reject the null hypothesis and conclude this patient does not have a high HC level. c) p = 0.0023; Based on 5% significance level, I will reject the null hypothesis and conclude this patient has a high HC level. d) p = .1053; Based on 5% significance level, I will fail to reject the null hypothesis and…
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Use z scores to compare the given values. The tallest living man at one time had a height of 228 cm. The shortest living man at that time had a height of 131.9 cm. Heights of men at that time had a mean of 174.11 cm and a standard deviation of 5.72 cm. Which of these two men had the height that was more extreme? Since the z score for the tallest man is z = (Round to two decimal places.) and the z score for the shortest man is z = the man had the height that was more extreme.
A biologist is attempting to determine the mean weight of African elephants. She conducts a sample of 60 elephants, and finds a sample mean of 8954 lbs., with a standard deviation of 127 lbs. Assume that the distribution of weights of African elephants is nearly normal.Define your variable: Let μμ be the mean weight of all African elephants, in lbs.. Let μμ be the mean weight of the sampled African elephants, in lbs.. Let p be the proportion of elephants that weigh . Let p be the proprotion of elephants in the sample. Create and interpret a 95% Confidence Interval. Round your answers to one decimal place. and lbs.What is the margin of error? Round your answer to one decimal place. lbs.Another biologist believes that the mean weight of elephants is 89898989. What do you think of this claim? That claim is not in our interval. We do not believe it. The claim is above the sample mean, so there is no way it can be true. The claim is inside the interval. It is reasonable. The…

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