A car dealer claims that on average, the age of cars owned by professorsis less than the age of cars owned by students. Random samples of 40faculty cars and 36 student cars are taken and their ages are measured.The data was shown in the following table.ages for faculty cars ages for student carsm₁ = 40n₂ = 36F₁ = 5.9F₂ = 7.1$1 = 1.682 = 1.8Choose the correct hypothesis to test the claim.Ho: ₁ ≥ ₂ vs H₂:1 < ₂Ho : με ≥ με vs Ha: με < μεO H₂:1₂ VS H₁: ₁ > ₂Ho: 1 = μ₂ vs H₁: Mr ‡µ₂Ho: M1 M₂ Vs Ha: 1 > ₂Find the P-value of this test and state your conclusion at a = .05.P-value: 0.0011; Decision: Reject HoP-value: 0.05; Decision: Fail to reject HoO P-value: 0.9989; Decision: Fail to reject HoO P-value: 0.0011; Decision: Fail to reject HoP-value: 0.9989; Decision: Reject HoUse calculator program to find the 95% confidence interval of μ1-442

Given that x̄1 = 5.9 s1 = 1.6 n1 = 40 x̄2 = 7.1 s2 = 1.8 n2 = 36…

Answered: A car dealer claims that on average,…

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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A sample survey by Comcast asked a random sample of customers about use of the Internet and about the type of community they lived in. Here are the results: Internet Users: Rural: 433 Suburban: 1072 Urban: 536 Nonusers: Rural: 463 Suburban: 627 Urban: 388 Is there a relationship between Internet use and community type? Give statistical evidence to support your findings.
The Bureau of Labor Statistics reports that the official unemployment rate for Black people was 10.4% and 4.7% for White people in February 2015. Select all correct answers for this question. O The samples of white and black people are independent. The explanatory variable is the unemployment rate. The response variable is the unemployment rate. The response variable is race.
A consumer magazine wants to compare the lifetimes of ballpoint pens of three different brands (measured in days). The magazine takes a random sample of pens of each type in the following table. What is the correct test statistic? Brand 1 Brand 2 Brand 3 382 181 238 242 140 257 216 162 241 319 218 213 a. F (2, 9) = 5.54 b.r = -.34 c. t (11) = 12.16 d.p = .027
Researchers investigate how the presence of cell phones influence the quality of human interaction. Subjects are randomly selected from a population and divided into an experimental group that is asked to leave their phones in the front of the room and a control group that are not asked to leave their cell phones at the front of the room. Subjects are left alone for 10 minutes and then asked to take a survey designed to measure quality of interactions they had with others in the experiment. What statistical test is appropriate?
A study of seat belt yielded the randomly selected sample data summarized in the accompanying table. Use a 0.05 significance level to test the claim that the amount of smoking is independent of seat belt use. A plausible theory is that people who smoke dy are less concerned about their health and safety and are therefore less inclined to wear seat belts. Is this theory supported by the sample data? 5 sic Click the icon to view the data table. use. ..... Hа: Heavy Determine the test More info izlet. y of X-(Round to claim Number of Cigarettes Smoked per Day 15-34 Determine the P-v 1-14 35 and over le wh Wear Seat Belts 190 13 36 10 P-Value = (Rou Don't Wear Seat Belts 152 13 45 ww.nur y is that people ry supported by Use a 0.05 signific who smoke are les the sample data? nour seat Done theory is not zed in t Print O A. There is nd supported S Top eat belt. The O B. There is no theory is supportou Dy ao vampIG Gutu. O C. There is sufficient evidence to reject the claim that heavy smokers…
A researcher wanted to know if there was a correlation between the number of times a boxer incurred head injuries (traumatic encephalopathy) to depression scores reported by the same individuals. The data for 10 boxers (number of injuries and depression scores from 0-10 where 0 means no depression) is as follows: Number of brain injury Depression Score 0 1 9 10 4 7 7 8 2 1 1 0 8 10 5 5 0 2 4 6 a. Use the four steps of hypothesis testing and calculate a Pearson correlation for the above data, starting with the hypotheses.b. Find critical value at an alpha level at α=.05, two tailed.c. Include the coefficient of determination with a sentence explaining the outcome of both calculations in APA format.d. Create a scatter plot by hand of the above data set.
A running coach wanted to see whether runners ran faster after eating spaghetti the night before. A group of six runners was randomly chosen for this study. Each ran a 5 kilometer race after having a normal dinner the night before, and then a week later, reran the same race after having a spaghetti dinner the night before. The times for their races are shown in the table below. What test statistic should be used in a test for these samples? Runner Runner 5 6 Runner 1 Runner 2 Runner 3 Runner 4 Regular Dinner 1019 s 1004 s 1028 s 989 s 1035 s 1015 s Spaghetti 1012 s 999 s 1025 s 988 s 1036 s 1018 s Dinner 2.45 -2.45 ±1.31 O 1.31
Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel, May 19, 2018). Hotel occupancy data for February in two consecutive years are as follows. Current Year 1,476 1,800 Occupied Rooms Total Rooms 1,422 1,800 a. Formulate the hypothesis test that can be used to determine whether there has been an increase in the proportion of rooms occupied over the one-year period. Let P₁= population proportion of rooms occupied for current year P2 population proportion of rooms occupied for previous year - P2 less than or equal to 0 greater than 0 Ho P1 Ha P1 P2 b. What is the estimated proportion of hotel rooms occupied each year (to 2 decimals)? Current year .80 X Previous Year .77 c. Conduct a hypothesis test. What is the p-value (to 4 decimals)? Use Table 1 from Appendix B. Previous Year p-value = 0.0166 Using a 0.05 level of significance, what is your conclusion? We can conclude that there…
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.)
A source table has the following information: Three treatment conditions with a sample of n =7 participants in each treatment. You know SS(BW) = 20 and MS(WI) = 2. What is the missing value for MS(BW)? Answer choices: 40, 10, 2, 5 You have an ANOVA source table with the following information: Three treatment groups with a sample of n = 10 participants in each treatment. You also know the SS(BW) =20 and F = 5.00. What is the missing value for SS(Total)? Answer choices: 74, 54, 30, 22 For an experiment involving 2 levels of factor A and 3 levels of factor B with a sample of n = 5 in each treatment condition, what is the value for df(WI)? Answer choices: 30, 29, 24, 20
Researchers asked soda drinkers to view either the logo for their favorite soda or a graphic warning demonstrating the harmful effects of sugary beverages (e.g., tooth decay, obesity) and then measured their negative mood with a short survey. They found that those participants who saw the warnings reported significantly greater negative moods than those who saw the logos. Which statistical test should be used?
Use Table 1 and the following description for Questions 15-17. Researchers are investigating whether the dessert type impacts consumers' taste preference. They design a study where four participants eat four dessert types on three consecutive days. Table 1 shows the study design. All participants (referred as participant 1,..,4) eat all four dessert types (A= Apple pie, B= Banana pudding, C= Chocolate, D= Donut) in randomized order each day (referred as Day 1, Day 2, Day 3), and provide their taste preference (on a scale from 0= hate it, to 10-love it). Researchers are only interested in testing the impact of dessert type on taste preference, but they know that day-to-day and participant-to-participant variation may impact the test results. Table 1: Dessert study design where A= Apple pie, B= Banana pudding, C= Chocolate, D= Donut Participant 1 Day 1 Day 2 В, А, С, D D, C, B, A C, B, D, A А, С, В, D Day 3 A, C, D, B B, C, A, D B, A, D, C C, D, B, A D, C, A, B А, В. С, D D, B, A, C В.А.…

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