My Sac State | Sa. Pearson Sign In Home-Inte Login Courses StatCrunchA study was conducted about the number of days physically "active" students frequented/visited the gym. They asked160 LMC students who considered themselves relatively active how many days they spend per week in a gym. Hereare the results:35411DesSummary statistics:Column Mean Std. dev.Days 160 3.35 2.0655911QUESTION: Is it typical for a random "active" student to NOT go to the gym?ON because there are lurking variables to this studyYes because 0 days is within 1 standard deviationNo, because 0 days is beyond one standard deviationOY because the average dave is a little more than 3 days

Given the bar chart of the number of days, a relatively active student spend per week in a gym as

Answered: A study was conducted about the number…

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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6. A kinesiologist wanted to examine the effects of temperature and humidity on exercise performance. Each participant was asked to walk on a treadmill at a normal pace for 60 minutes, and the kinesiologist recorded the distance walked (miles). She assigned participants to one of 4 conditions that varied in temperature (normal or high) and humidity (normal or high). Mean distance walked by the four groups are shown in the table below. Assume a = .05 and Tukey HSD = 0.39. Normal temperature High temperature Normal humidity M = 3.00 M = 2.80 High humidity M = 2.80 M = 2.00 Complete the following conclusion: The factorial ANOVA revealed significant main effects of temperature [F (1, 24) = 25.00, p<.05] and humidity [F (1, 24) = 19.65, p<.05] and a significant Temperature x Humidity interaction [F (1, 24) = 9.25, p < .05].
). You are interested in investigating if there a difference in mean cholesterol between the four diet groups. What kind of sample and outcome is this?
To determine if there is an association between gender and reading habits, 270 adults are randomly sampled from across the United States and asked the following question: “How often do you read a book outside of work or school: regularly, sometimes, or never?” The results are summarized in the following table: OBSERVED READING HABITS Regularly Sometimes Never Total Male 42 72 10 124 Female 72 74 7 146 Total 107 146 17 270 A)Suppose the chi-square test statistic is 3.7329254 with 2 degrees of freedom. Using the chi-square table, what is the p-value for this test? B)Suppose the p-value is 0.11. At the a = 0.05 level, what conclusion should be made?
given this data, what will be the most appropriate way to present them?
A sample of n = 10 has s = 3. What are the correct values for S.S. and s2? SS=44;sampleS.D.=3 SS = 81; sample variance = 9 SS = 30; sample variance = 4 SS=27;sampleS.D.=2
Maryland, as the four U.S. cities with the highest percentage of millionaires (Kiplinger website). Consider a sample of data that show the following number of millionaires for samples of individuals from each of the four cities. Millionaire Cannot conclude Bridgeport, CT CA San Jose, CA Yes 42 36 No 458 264 a. What is the estimate of the percentage of millionaires in each of these cities (to 1 decimal)? 0.436 Use Table 3 of Appendix B to find the p-value. The p-value is greater than 0.10 What is your conclusion? City Washington, D.C. 35 365 Bridgeport, San Jose, Washington, Lexington Park, CT D.C. MD Lexington Park, 46 27.4 Percentage, % 36.5 b. Using a = 0.05 level of significance, test for the equality of the population proportion of millionaires for these four cities. What is the p-value? Compute the value of the x² test statistic (to 3 decimals). 36.5 MD 33 367 that there is a difference among the population proportion of millionaires for these four cities.
A district health officer wishes to determine if the six villages in his district are independent of residents contracting malaria, schistosomiasis, cholera or tuberculosis. Identity an appropriate statistical test and the tail of the test for the problem. Assume all samples used for study come from a normal population.
If the highest 8o of students in the final exam were rewarded. The mean for this exam was 120 & the variance was 289. What was the lowest mark that has been rewarded for? minimum mark-? Select one: 143.8 143.97 NONE 143.885
Pavan.88.9
1. A dog groomer is often asked if small dogs bark more than larger dogs. To test this, he logs the number of separate barking episodes per day for three size dogs: small, medium, and large. In a separate file you will find the number of barking episodes for 12 dogs. On average, small dogs barked the most Mean: 7.25 On average, medium sized dogs barked the least Mean: 2.75 A. Do the different size dogs bark a significantly different number of times? Test with an α = 0.05. B. If appropriate, use Tukey’s HSD post hoc test and report where the differences are. If inappropriate, state why. C. Calculate and interpret the effect size.
20. Consider the following data: 40, 45, 55, 65. ?, ?, 75, 75, 78, 83 Then use the suitable measure to calculate the average and dispersion for the given data.

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