PRAXIS.e Mathematics | Question 41 of 56R965TB6YWeight Loss (pounds)0 to <55 to <10A sample of 400 people was randomly selected for a research study from a population of people whowanted to lose weight. The 400 people were placed in a diet and exercise program for four weeks. The tableabove summarizes the amount of weight loss for the 400 participants.10 to <1515 to 2020 to <25If all the people in the population were placed in the same diet and exercise program as the 400 people inthe sample, what percent of the population could the researcher infer would lose at least 10 pounds?HN0 0 0 0 0JO 12%raO 18%8O 25%O 35%HideIl auto.proctoru.com is sharing your screen. Stop sharingAnswer the question by selecting the correct response.O 42%DELLFrequency11614492435MCalculator1.€9KMark0prt sFIDReviewWhomePHelp?end00:44:36B?1

Given Information: Weight loss (pounds) Frequency 0 to < 5 116 5 to < 10 144 10 to…

Answered: Weight Loss (pounds) 0 to <5 5 to <10…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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A certain collector is choosing between 4 different paintings to buy. To help him decide, he asked 10 randomly selected subjects to rate the 4 different paintings on a scale from 0 (don't like it at all) to 5 (like it very much). The following table shows the data for all subjects and paintings. Is there a painting that is more preferred? Test at the 5% level of significance. Painting 2 Painting 3 5 4 4 2 Subject 1 Painting 1 Painting 4 4 1 2 2 3 1 3 4 4 2 4 3 1 7 3 8 2 3 1 9. 1 2 10 2 4 5454 3
A researcher wants to determine if the number of years of education for a parent correlates with the number of years of education for their child. The table shows the number of years of education of the parent and the number of years of education of their child for a random sample of 7. Years of Education of Parent: 13, 9, 12, 10, 12, 10, 12 Years of Education of their Child: 15, 11, 10, 16, 17, 12, 17 Conduct a hypothesis test to determine if there is a significant linear correlation between the two variables. Use α = 0.05. If there is a significant linear correlation between the variables, determine the regression equation. There is a significant correlation between the variables and the regression equation is y' = 5.333 + 0.777x There is a significant correlation between the variables and the regression equation is y' = 0.777 + 5.333x There is not a significant correlation between the variables, so the regression equation should not be determined. There is a significant…
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In a study conducted by some Statistics students, 73 people were randomly assigned to listen to rap music, music by Mozart, or no music while attempting to memorize objects pictured on a page. They were then asked to list all the objects they could remember. The summary statistics for each group are shown in the table. Complete parts a and b. HA: HM-HRU C. Ho: HM-HR <0 HA: HM-HR=0 ... Count Mean SD HA: HM-HRU D. Ho: HM-HR = 0 HA: HM-HR <0 Rap Mozart The 90% confidence interval for the negative difference in means is (.). (Round to three decimal places as needed.) 33 • 20 10.88 10.15. 3.71 3.04 No Music 20 13.29 4.88 Test the hypothesis. t = -0.78 (Round to two decimal places as needed.) P = 0.7799 (Round to four decimal places as needed.) State your conclusion. Use α = 0.05. Do not reject Ho. There is no evidence that the mean number of objects remembered by those who listen to Mozart is higher than the mean number of objects remembered by those who listen to rap music. b) Now compare…
C. Solve for the problem. A population consists of the numbers 2, 4, 5, 9 and 10. Take three numbers as samples from the population. Present the frequency distribution of all the possible samples taken
A television station wishes to study the relationship between viewership of its 11 p.m. news program and viewer age (18 years or less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television viewers in each age group is randomly selected, and the number who watch the station’s 11 p.m. news is found for each sample. The results are given in the table below. Age Group Watch11 p.m. News? 18 or less 19 to 35 36 to 54 55 or Older Total Yes 37 46 59 83 225 No 213 204 191 167 775 Total 250 250 250 250 1,000 (a) Let p1, p2, p3, and p4 be the proportions of all viewers in each age group who watch the station’s 11 p.m. news. If these proportions are equal, then whether a viewer watches the station’s 11 p.m. news is independent of the viewer’s age group. Therefore, we can test the null hypothesis H0 that p1, p2, p3, and p4 are equal by carrying out a chi-square test for independence. Perform this test by setting α = .05. (Round your answer to 3 decimal places.)…
Using the same question from #3 A survey is done to find out the favorite movies of 500 children. The children are categorized into male and female, and a sample of 50 children is chosen. Answer the following question: If the number of female children is 300, what is the sample size of each stratum? a male sample: 40 and female sample: 10 b male sample; 25 and female sample: 25 c male sample: 30 and female sample: 20 d male sample: 20 and female sample: 30
A television station wishes to study the relationship between viewership of its 11 p.m. news program and viewer age (18 years or less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television viewers in each age group is randomly selected, and the number who watch the station’s 11 p.m. news is found for each sample. The results are given in the table below. Age Group Watch11 p.m. News? 18 or less 19 to 35 36 to 54 55 or Older Total Yes 49 59 61 84 253 No 201 191 189 166 747 Total 250 250 250 250 1,000 (a) Let p1, p2, p3, and p4 be the proportions of all viewers in each age group who watch the station’s 11 p.m. news. If these proportions are equal, then whether a viewer watches the station’s 11 p.m. news is independent of the viewer’s age group. Therefore, we can test the null hypothesis H0 that p1, p2, p3, and p4 are equal by carrying out a chi-square test for independence. Perform this test by setting α = .05. (Round your answer to 3 decimal places.)…
A random sample of 10 compact cars, 10 mid-size cars, and 10 luxury cars were selected. The time (in seconds) each of the randomly selected cars required to accelerate from 0 to 60 mph was looked up on the Autos.com website. The results are presented below. Car Type Time (in seconds) Required to Accelerate from 0 to 60 mph Compact 9.3 8.1 10.2 8.8 9.0 9.3 7.7 9.2 9.4 8.6 Mid-Size 6.9 5.7 8.3 7.7 8.6 5.9 6.1 8.8 6.1 7.2 Luxury 5.7 6.3 5.4 4.7 6.2 7.0 5.9 5.3 6.3 5.0 Conduct a hypothesis test using ! = 0.05 to determine whether the mean time required to accelerate from 0 to 60 mph is the same for compact, mid-size, and luxury cars. (No accounting or excel, I need help solving it.)
USE EXCEL to solve this problem. Thanks.
According to a census company. 7 1% of all bables bom are of low birth weight. An obstetrician wanted to know whether mothers between the ages of 35 and 39 years give birth to a higher percentage of low-birth-weight babies. She randomly selected 240 births for which the mother was 35 to 39 years old and found 28 low-birth-weight bables. Complete parts (a) through (c) below. (a) lf the proportion of low-birth-welght babies for mothers in this age group is 0.071, compute the expected number of low-birth-weight births to 35- to 39-year-old mothers. What is the expected number of births to mothers 35 to 39 years old that are not low birth weight? The expected number of low birth-weight births to 35- to 39-year-old mothers is The expected number of births to mothers 35 to 39 years old that are not low birth weight is (Type integers o decimals)
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