Inspired by the example about how background music influences choice of entrée at a restaurant, a statistics student decided toinvestigate other ways to influence a person's behavior. Using 60 volunteers, she randomly assigned 20 volunteers to get a "red"survey, 20 volunteers to get a "blue" survey, and 20 volunteers to get a control survey. The first three questions on each surveywere the same, but the fourth and fifth questions were different. For example, the fourth question on the "red" survey was"When you think of the color red, what do you think about?" On the blue survey, the question replaced red with blue. On thecontrol survey, the last two questions were not about color. As a reward, each volunteer was allowed to choose a chocolate candyin a red wrapper or a chocolate candy in a blue wrapper. The table shows the result of the experiment.Colorof candySurvey TypeRed Blue ControlRed1358Blue71512Total 202020Total263460What are appropriate null and alternate hypotheses inthis setting?Ho: The proportion who would choose the red candyis 0.33 in all three treatment groups. Ha: Theproportion is not 0.33 in all three treatment groupsHo: The number who choose the red candy is thesame as those who choose the blue candy forsubjects like these who receive the red survey, theblue survey.Ha: The number who choose the red candy is thesame as those who choose the blue candy forsubjects like these who receive the red survey, theblue survey.Ho: The distribution of candy choice is the same forsubjects like these who receive the red survey, theblue survey, and the control survey.Ha: The distribution of candy choice is not the samefor subjects like these who receive the red survey,the blue survey, and the control survey.Ho: The distribution of candy choice is the same forsubjects who received the red survey, the bluesurvey, and the control survey.Ha: The distribution of candy choice is not the samefor subjects like these who received the red survey,the blue survey, and the control survey.Ho: The distribution of candy choice is not the samefor subjects like these who receive the red survey,the blue survey, and the control survey.Ha: The distribution of candy choice is the same forsubjects like these who receive the red survey, theblue survey, and the control survey.

Claim: Test whether the distribution of candy choice is same for the subjects who receive red, blue…

Answered: Inspired by the example about how…

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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Dustin Johnson is a professional golfer. In an artilce posted on golf.com in 2011, Johnson's athletic trainer explained that Johnson was an outstanding athlete who excelled in many ways. He compared Johnson's athletic ability to players in other sports. The trainer was quoted as saying: "Dustin's standing broad jump puts him in the 93rd percentile among NBA players." Which of the following is the best interpretation of this quote: Dustin Johnson's standing broad jump is worst than that of 93% of the players in the NBA. Dustin Johnson can jump 93% further than most players in the NBA. Dustin Johnson's standing broad jump is 93% longer this year than it was last year. Dustin Johnson's standing broad jump is as good or better than 93% of players in the NBA. The average length of Dustin Johnson's standing broad jump is 93% more than the average length the standing broad jump of players in the NBA.
A researcher wanted to know whether the level of frustration over high gas prices differed for different types of vehicle owners. Following a sharp increase in the price of gas, the researcher asked 30 people to indicate their level of frustration with prices at the pump (frustration scores ranged from 1 to 10, with higher scores indicating greater frustration). Ten people were surveyed who owned a motorcycle as their primary means of transportation (coded a 1 in the data file 1), 10 were surveyed who owned a hybrid vehicle (coded a 2 in the data file 1), and 10 were surveyed who owned a non-hybrid vehicle (coded a 3 in the data file Exam 3). a.State the null and alternative hypotheses. b. State a research question for the data.
For an article in a magazine, 20 different vehicles were selected to obtain data for comparison. From each vehicle the price in dollars, the fuel economy (in miles per gallon), the number of doors, the type of vehicle (car, truck, SUV, other), and if it had all wheel drive or not. a. What are the cases? b. List the variables and identify them as quantitative or categorical.
You give all Stonehill students a measure of well-being (i.e. happiness) when they enter as first year students. You want to compare the average happiness scores for incoming first year students for the classes of 2021, 2022, 2023, and 2024. Which statistical test would you use to see if there are statistically significant differences of well-being (based on happiness scores) between the classes of 2021, 2022, 2023, and 2024? a. one sample t test b. two sample t test c. repeated measures t test d. ANOVA
Assume you are working as a statistician for the automotive company Ford. Ford's three most popular cars are the Escape (SUV), the Focus (midsize sedan), and the Fusion (hybrid sedan). Your boss is putting together next year's production numbers and asks you to determine if any of the three models are selling better or worse than the other two. You have the sales numbers from one month of sales: the Escape sold 22,274, the Focus sold 21,385, and the Fusion sold 20,808.1 Perform the necessary test to determine if sales are significantly different and report the conclusion(s) of interest to your boss. 1Sales from The Wall Street Journal for June 2011. Calculate the chi-square test statistic and the p-value. Round your answer for the chi-square statistic to the nearest integer, and your answer for the p-value to three decimal places. i p-value = Is the evidence strong enough from this one month to conclude that sales are significantly different between the three models?
A contributor for the local newspaper is writing an article for the weekly fitness section. To prepare for the story, she conducts a study to compare the exercise habits of people who exercise in the morning to the exercise habits of people who work out in the afternoon or evening. She selects three different health centers from which to draw her samples. The 57 people she sampled who work out in the morning have a mean of 4.8 hours of exercise each week. The 56 people surveyed who exercise in the afternoon or evening have a mean of 4.2 hours of exercise each week. Assume that the weekly exercise times have a population standard deviation of 0.8 hours for people who exercise in the morning and 0.3 hours for people who exercise in the afternoon or evening. Let Population 1 be people who exercise in the morning and Population 2 be people who exercise in the afternoon or evening. Step 1 of 2: Construct a 95 % confidence interval for the true difference between the mean amounts of time…
The premiere of Game of Thrones' seventh season set a series record of 10.1 million viewers tuning in to the live broadcast, and the season finale got even more than that at 12.1 million. A researcher at HBO believes that the average number of viewers watching live is not equal to the average number of those streaming online. The data below demonstrate a sample the number of of people watching live for each episode and the number of people streaming for each of the same episode. Episode Live (millions) Streaming (millions) Season 1 Episode 1 2.9 0.7 Season 3 Episode 4 8.4 5.0 Season 5 Episode 1 8.7 6.3 Season 5 Episode 5 8.6 6.0 Season 6 Episode 3 9.3 8.4 Season 7 Episode 1 10.11 6.4 Season 7 Episode 5 10.72 6.7 Season 7 Episode 7 12.10 7.5 Based on the results of your t-test, can we conclude that the mean number of people viewing live is different from the mean number of people streaming online? Group of answer choices a) No, because the p value is greater…
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A study investigated whether price affects people's judgment. Twenty people each tasted six cabernet sauvignon wines and rated how they liked them on a scale of 1 to 6. Prior to tasting each wine, participants were told the price of the wine. Of the six wines tasted, two were actually the same wine, but for one tasting the participant was told that the wine cost $10 per bottle and for the other tasting the participant was told that the wine cost $90 per bottle. The participants were randomly assigned either to taste the $90 wine first and the $10 wine second, or the $10 wine first and the $90 wine second. Differences were calculated by subtracting the rating for the tasting in which the participant thought the wine cost $10 from the rating for the tasting in which the participant thought the wine cost $90. Difference ($90 3 4 $10) 2 1 USE SALT 0 3 0 2 1 3 3 1 4 1 2 Find the test statistic. (Round your answer to two decimal places.) t = 2 1 -1 Carry out a hypothesis test to determine if…
Use the following for the next two questions: The Hershey Company wants to know if it is doing better in the US than its biggest competitor, Nestle, during their biggest sales month of October. A random sample of 50 US grocery stores are chosen and their October, 2020 sales records are collected. Let ???? and ???? be the true average sales in millions of dollars of Hershey and Nestle products sold in US grocery stores during October, 2020 respectively. The 95% confidence interval for ???? − ???? from our sample data is (54, 346) millions of dollars What is the difference in the sample means ??̅?? − ??̅??? Round to the nearest whole number. 200
In a study looking at undergraduate students’ perceptions of sense of community at their university, a researcher hypothesizes that the farther away students live from campus (in miles), the less they feel they are part of the university community. The researcher collected data for the following two variables – miles from campus and part of community (rating from 1-10 of how much they felt part of the university community). Proposed analysis (the kind of test) and why you chose the analysis: Scales of measurement (i.e., nominal, ordinal, interval or ratio) for variable(s) that will be used in the analysis: Null and alternative hypotheses (based on context of study) in symbols: Test assumptions and make a decision Inferential statistic(s) and p-value(s): Decision: conclusion Based on your decision, identify and explain the type of error you could be making with respect to the conclusions of the study
The "Popular Kids" dataset also divided the students' responses into "Urban," "Suburban," and "Rural" schoolareas. Is there an association between the type of school area and the students' choice of good grades, athleticability, or popularity as most important? A two-way table for student goals and school area appears as follows:

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