I am curious whether people get a better workout in the morning or at night. To find out, I got volunteers from my boxing gym. 10 of us wore heartrate monitors during our workouts and each of usworked out once in the morning and once in the evening and recorded the number of calories we burned during each workout. At a significance level of 0.01, I want to prove that less calories areburned during morning workouts than during evening workouts. The morning workout sample is and the evening workout sample is. Below is a table displaying the data:Member (Subject)Morning Workout1,449 caloriesEvening Workout887 calories121.005 calories912 calories1,153 calories458 calories31,168 calories4797 calories1,326 calories838 calories1,160 calories929 calories61,129 calories1,347 calories1,007 calories949 calories9808 calories735 calories10853 calories1.007 caloriesThe R Output for the hypothesis test is below:One Sample t-testdata: workoutdifft= 0.17213, df= 9, p-value = 0.5664alternative hypothesis: true mean is less than 099 percent confidence interval:-Inf 157.2675sample estimates:mean of x13.5 What type of samples are these?a. Proportion SamplesOb. Independent Samplesc. Dependent Samplesd. Transformation Samples

Given Information: 10 volunteers from boxing gym, wore heartrate monitors during their workouts and…

I am curious whether people get a better workout in the morning or at night. To find out, I got volunteers from my boxing gym. 10 of us wore heartrate monitors during our workouts and each of worked out once in the morning and once in the evening and recorded the number of calories we burned during each workout. At a significance level of 0.01, I want to prove that less calories a burned during morning workouts than during evening workouts. The morning workout sample is and the evening workout sample is. Below is a table displaying the data: Member (Subject) Evening Workout 887 calories Morning Workout 1,449 calories 2. 1,005 calories 912 calories 3 1,153 calories 1,168 calories 4 458 calories 797 calories 1,326 calories 1,160 calories 6. 838 calories 929 calories 1,129 calories 1,347 calories 949 calories 7 8 1,007 calories 808 calories 735 calories 10 853 calories 1,007 calories The R Output for the hypothesis test is below: One Sample t-test data: workoutdiff t=0.17213, df = 9, p-value = 0.5664 alternative hypothesis: true mean is less than 0

I am curious whether people get a better workout in the morning or at night. To find out, I got volunteers from my boxing gym. 10 of us wore heartrate monitors during our workouts and each of worked out once in the morning and once in the evening and recorded the number of calories we burned during each workout. At a significance level of 0.01, I want to prove that less calories a burned during morning workouts than during evening workouts. The morning workout sample is and the evening workout sample is. Below is a table displaying the data: Member (Subject) Evening Workout 887 calories Morning Workout 1,449 calories 2. 1,005 calories 912 calories 3 1,153 calories 1,168 calories 4 458 calories 797 calories 1,326 calories 1,160 calories 6. 838 calories 929 calories 1,129 calories 1,347 calories 949 calories 7 8 1,007 calories 808 calories 735 calories 10 853 calories 1,007 calories The R Output for the hypothesis test is below: One Sample t-test data: workoutdiff t=0.17213, df = 9, p-value = 0.5664 alternative hypothesis: true mean is less than 0

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

This obstetrician also wanted to determine the impact that three experimental diets had on the birth weights of pregnant mothers. She was also interested if age had an impact on birth weights. She randomly selected 27 pregnant mothers in the first trimester of whom 9 were 20 to 29 years old, 9 were 30 to 39 years old, and 9 were 40 or older. For each age group, she randomly assigned the mothers to one of three diets. After delivery, she measured the birth weight (in grams) of the babies and obtained the data a) What is the blocking variable?
The authors of a paper randomly selected two samples of patients admitted to the hospital after suffering a stroke. One sample was selected from patients who received biofeedback weight training for 8 weeks, and the other sample was selected from patients who did not receive this training. At the end of 8 weeks, the time it took (in seconds) to stand from a sitting position and then to sit down again (called sit-stand-sit time) was measured for the people in each sample. Data consistent with summary quantities given in the paper are given below. For purposes of this exercise, you can assume that the samples are representative of the population of stroke patients who receive the biofeedback training and the population of stroke patients who do not receive this training. Biofeedback Group 2.1 2.8 4.5 2.3 2.9 4.3 3.4 4.2 3.4 3.7 3.0 3.7 3.7 2.5 3.3 No Biofeedback Group 5.2 4.8 4.0 4.3 4.8 4.4 4.3 5.2 3.5 4.3 5.2 4.5 4.1 3.5 4.0 Conduct a test of hypothesis to test whether…
In a science fair project, Emily conducted an experiment in which she tested professional touch Ktherapists to see if they could sense her energy field. She flipped a coin to select either her right hand or her left hand, and then she asked the therapists to identify the selected hand by placing their hand just under Emily's hand without seeing it and without touching it. Among 357 trials, the touch therapists were correct 169 times. Complete parts (a) through (d). S View an example Get more help. 4- & 87 U 0.5 (Type an integer or a decimal. Do not round.) b. Using Emily's sample results, what is the best point estimate of the therapists' success rate? 0.473 (Round to three decimal places as needed.) c. Using Emily's sample results, construct a 90% confidence interval estimate of the proportion of correct responses made by touch therapists. F
Some commercial airlines recirculate about half the air in the cabin during flights as a way to improve fuel efficiency. Other airlines make a policy of NOT recirculating the air and instead, have fresh air from the atmosphere constantly being inserted into the cabin with the “old” air being pumped out of the plane. A total of 1100 passengers flying from San Francisco to Denver were used for an experiment. After their flight, they were each given a list of symptoms associated with the common cold. They were asked to report if they experienced cold symptoms within 24 hours of the flight landing. Of the 517 passengers who flew on planes that recirculate the air, 108 reported post-flight cold symptoms. Of the 583 passengers who flew on airlines that do not use recirculation in the cabin, 110 reported symptoms. Suppose now that we want to use the recirculation of air data to explore “Goal #2”, which is to resolve a hypothesis test about . a) If we want to resolve this hypothesis…
Arsenic is toxic to humans and people can be exposed to it through contaminated drinking water, food, dust, and soil. Scientists have devised a non-invasive way to measure a person's level of arsenic poisoning: by examining toenail clippings. In a recent study, scientists measure the level of arsenic (in mg/kg) in toenail clippings of 8 people who lived near a former arsenic mine in Great Britain. The following levels are recorded. 0.8, 1.9, 2.7, 3.4, 3.9, 7.1, 11.9, 26.0 Below are the summary statistics of the data. min Q1 median Q3 max sd n mean 0.8 2.5 3.65 8.3 26 7.2125 8.368041 8 Suppose the 8 people examined were randomly sampled from residents near the former arsenic mine. Is it legitimate to construct a 95% confidence interval for the mean level of arsenic (in mg/kg) in toenail clippings for residents near the former arsenic mine using a t-distribution? Explain briefly.
The authors of a paper randomly selected two samples of patients admitted to the hospital after suffering a stroke. One sample was selected from patients who received biofeedback weight training for 8 weeks, and the other sample was selected from patients who did not receive this training. At the end of 8 weeks, the time it took (in seconds) to stand from a sitting position and then to sit down again (called sit-stand-sit time) was measured for the people in each sample. Data consistent with summary quantities given in the paper are given below. For purposes of this exercise, you can assume that the samples are representative of the population of stroke patients who receive the biofeedback training and the population of stroke patients who do not receive this training. Biofeedback Group 2.2 2.9 4.6 2.4 3.0 4.4 3.5 4.3 3.5 3.8 3.1 3.8 3.8 2.6 3.4 No Biofeedback Group 5.2 4.8 4.0 4.3 4.8 4.4 4.3 5.2 3.5 4.3 5.2 4.5 4.1 3.5 4.0 Conduct a test of hypothesis to test whether…
A consumer group wanted to determine if there was a difference in customer perceptions about prices for a specific type of toy depending on where the toy was purchased. In the local area there are three main retailers: W-Mart, Tag, and URToy. For each retailer, the consumer group randomly selected 5 customers, and asked them to rate how expensive they thought the toy was on a 1-to-10 scale (1= not expensive, to 10 = very expensive). The toy was priced the same at all retail stores. 1. What kind of statistical test should be used to test the consumer group's research goal, assuming that the researcher wanted to use the 1-to-10 scale as a numerical interval measure? A. Repeated-measures t-test B. One-way Independent Measures ANOVA C. Repeated-measures ANOVA D. Independent-measures t-test 2. State the hypothesis that aims to test the consumer group’s research goal (i.e., what is H0 and HA).
A student scored between 81% and 93% on all exams except for one that she failed with a47% because she studied the wrong chapters. Which value would better represent hertypical performance: mean exam grade or median exam grade? Briefly explain.
A certain virus affects 0.7% of the population. A test used to detect the virus in a person is positive 87% of the time if the person has the virus (true positive) and 14% of the time if the person does not have the virus (false positive). Fill out the remainder of the following table and use it to answer the two questions below based on a total sample of 100,000 people. Virus No Virus TotalPositive Test Negative Test Total 100,000a) Find the probability that a person has the virus given that they have tested positive. Round your answer to the nearest hundredth of a percent and do not include a percent sign. % b) Find the probability that a person does not have the virus given that they test negative. Round your answer to the nearest hundredth of a percent and do not include a percent sign. %
There exists 2 treatments for a specific illness. One uses pills, and the other infrared pulses. To measure the illness, you measure the level of the a particular marker in the blood; the higher the marker, the worse the disease. Which of the following tests the claim that the infrared pulse treatment improves outcomes better ?
Lisa's scores on tests for the assessment class are 93, 89, 87, and 83. She needs an 89.5 average to obtain an "A" in the class. Assuming that all tests, including the final, are equally weighted, what score must she obtain on the final exam to earn an "A"? CA Vimsi l
A psychologist would like to examine the effects of caffeine consumption on the activity level of preschool children. Three samples of children are selected with n = 5 in each sample. One group gets no caffeine, one group gets a small dose, and the third group gets a large dose. The psychologist records the activity level for each child during 50 minutes of unstructured play. Determine whether these data indicate significant differences among the three groups using a = .05. Your answer should include hypotheses, critical boundary, F-score, and results including notation, decision, and explanation. Calculate and interpret effect size if appropriate. Indicate whether post- hoc test results should be calculated (i.e., "yes, include" or "no, do not include"). No caffeine Small dose Large dose T= 15 T= 20 T= 25 G = 60 SS = 16 SS = 12 SS = 20 Ex2 = 298