Heart rates are determined before and 30 minutes after a Kettleball workout. It can be assumed that heartrates (bpm) are normally distributed. Use the data provided below to test to determine if average heartrates prior to the workout are significantly lower than 30 minutes after a Kettleball workout at the 0.05level of significance. Let μ₁ = mean before workout.Select the correct Hypotheses:Ho: a ≤0Ha:μd > 0before 70 62 75 73 60 63 68after 77 68 80 77 6665 68Ho:μα0Ho: μd ≥ 0 Ho:μ1 = μ2Ha:µd < 0 Ha:µ₁ ‡ µ2 Ha:µd ‡ 0Test Statistic =p-value==[three decimal accuracy][three decimal accuracy]Ho:μι > μεHa:μ₁ < µ₂Ηο:μι < μεHa:μ₁ > μ2

Given that the average heart rates prior to the workout are significantly lower than 30 minutes…

Answered: Heart rates are determined before and…

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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BBBASICSTAT8ACC 8.2.017.MI.S. MY NOTES ASK YOUR TEACHER Over the past several months, an adult patient has been treated for tetany (severe muscle spasms). This condition is associated with an average total calcium level below 6 mg/dl. Recently, the patient's total calcium tests gave the following readings (in mg/dl). Assume that the population of x values has an approximately normal distribution. 9.5 8.4 10.5 9.5 9.4 9.8 10.0 9.9 11.2 12.1 (a) Use a calculator with mean and sample standard deviation keys to find the sample mean reading x and the sample standard deviation s. (in mg/dl; round your answers to two decimal places.) 10.03 mg/dl s = 0.95 X mg/dl (b) Find a 99.9% confidence interval for the population mean of total calcium in this patient's blood. (in mg/dl; round your answer to two decimal places.) lower limit mg/dl upper limit mg/dl (c) Based on your results in part (b), do you think this patient still has a calcium deficiency? Explain. O Yes. This confidence interval…
The data found below measure the amounts of greenhouse gas emissions from three types of vehicles. The measurements are in tons per year, expressed as CO2 equivalents. Use a 0.025 significance level to test the claim that the different types of vehicle have the same mean amount of greenhouse gas emissions. Based on the results, does the type of vehicle appear to affect the amount of greenhouse gas emissions? E Click the icon to view the data. What are the hypotheses for this test? Data table O A. Hg: H1 = H2 = H3 H1: H1 # H2 # H3 O B. Ho: H1 + H2 # H3 H1: H1 = H2 = H3 Турe A 6.1 Туре B 8.4 Туре С 8.8 7.3 7.1 94 6.7 7.5 9.7 OC. Ho: H1 = H2 = H3 H: At least one of the means is differ 6.3 8.1 8.9 5.6 86 79 65 74 99 O D. Ha: At least one of the means is differd 7.2 79 84 7.4 71 9.4 H1: H1 = H2 = H3 6.2 8.3 7.1 Determine the test statistic. F = (Round to two decimal places as need Identify the P-value. Print Done P-value =(Round to two decimal places a What is the conclusion of the test? Do…
The police reported that the average driver exceeds the 50 miles per hour speed limit by more than 9 miles per hour on the busiest street in a small town. A sample of 63 randomly selected cars were clocked by airplane radar. The average speed was 57.5 miles per hour, and the standard deviation of the speeds was 4.17 miles per hour. Determine if the average speed is greater than what the police department reported. Which parameter(s) are you given? Mark all that apply. p μ σ none Which statistic(s) are you given? Mark all that apply. ¯x ˆp ˆq s x none What is the problem asking you to do? Estimate a parameter Test a given parameter
The time to complete an exam is approximately Normal with a mean of 48 minutes and a standard deviation of 7 minutes. The bell curve below represents the distribution for testing times. The scale on the horizontal axis is equal to the standard deviation. Fill in the indicated boxes. H = 48 o = 7 H- 30 H-20 μ+2σ μ+ 3
Assume the samples are random and independent, the populations are nomally distributed, and the population variances are equal. The table available below shows the prices (in dollars) for a sample of automobile batteries. The prices are classified according to battery type. At a = 0.10, is there enough evidence conclude that at least one mean battery price is different from the others? Complete parts (a) through (e) below. E Click the icon to view the battery cost data. (a) Let u1. P2. H3 represent the mean prices for the group size 35, 65, and 24/24F respectively. Identify the claim and state Ho and H. H Cost of batteries by type The claim is the V hypothesis. Group size 35 Group size 65 Group size 24/24F 101 111 121 124 D 146 173 182 278 124 140 141 89 (b) Find the critical value, Fo, and identify the rejection region. 90 79 84 The rejection region is F Fo, where Fo = (Round to two decimal places as needed.) (c) Find the test statistic F. Print Done F= (Round to two decimal places as…
The distribution of heights in a population of women is approximately normal. Sixteen percent of the women have heights less than 62 inches. About 97.5% of the women have heights less than 71 inches. Use the empirical rule to estimate the mean and standard deviation of the heights in this population. Mean: K inches Standard Deviation: inches
The data table contains waiting times of customers at a bank, where customers enter a single waiting line that feeds three teller windows. Test the claim that the standard deviation of waiting times is less than 1.3 minutes, which is the standard deviation of waiting times at the same bank when separate waiting lines are used at each teller window. Use a significance level of 0.05. Complete parts (a) through (d) below. A Click on the icon to view the data. a. Identify the null and alternative hypotheses. Choose the correct answer b i Customer Waiting Times O A Ho: o=1.3 minutes HA:o#1.3 minutes Customer Waiting Times (in minutes) 6.1 C. Ho: 0=1.3 minutes HA:o<1.3 minutes 8.7 6.1 6.8 7.2 6.2 6.9 6.8 6.8 7.5 7.8 7.6 6.7 7.4 b. Compute the test statistic. 6.6 10.3 6.5 7.8 6.4 7.7 4.4 7.2 7.3 7.7 6.4 (Round to two decimal places as needed.) 6.6 7.1 6.2 6.2 7.6 6.5 6.7 7.3 6.9 8.1 5.5 6.3 6.2 7.4 7.1 7.2 6.9 6.4 6.1 6.9 6.1 6.3 7.9 6.4 7.9 6.7 14.2 6.2 8.1 7.8 7.3 7.5 6.9 7.7 7.5 Print…
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The time to complete an exam is approximately Normal with a mean of 41 minutes and a standard deviation of 7 minutes. The bell curve below represents the distribution for testing times. The scale on the horizontal axis is equal to the standard deviation. Fill in the indicated boxes. µ = 41 o = 7 H- 30 u-20 µ-o u+o µ+20 µ+30
I need accurate answer with full details.
The average lifetime of a certain tire is 35,000 miles, and the standard deviation is 3,500 miles. Part 1 of 3 If we assume that the mileages model is a normal distribution, what percentage of all such tires will last between 28,000 and 45,500 miles? Show your work. (Use the Empirical Rule.)
Gentle Ben is a Morgan horse at a Colorado dude ranch. Over the past 8 weeks, a veterinarian took the following glucose reading from the horse (in mg/100 mg). 92 87 82 107 99 109 85 89 The sample mean x-bar is 93.8. Let x be a random variable representing glucose readings taken from gentle Ben. We may assume x has a normal distribution, and we know from past experience that the standard deviation = 12.5. The mean glucose level for horses should be mu = 85mg/100gl. Do these data indicate that gentle Ben have a overall average glucose level higher than 85? Use alpha = 0.05 A- Compute z value of the sample stasistic test. Round answer to 2 decimal places B- Find (or estimte) the P-Value . Round answer to 4 decimal places I get 1.99 for the z value but cannot come up with correct p-value.

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