1. Suppose that you're thinking about buying a used R-car at Honest Abe's. In order to make an informed decision you look up the records in an auto magazine and find that 30% of these cars have a faulty transmission. To get more information you hire a mechanic who is excellent: Of all the faulty cars he has examined in the past he correctly judged that 90% were "faulty" and only erroneously judged 10% as "OK." He 's almost as good at judging good cars: Of all the good cars he's correctly judged that 80% were "good" and only erroneously judged 20% as "faulty." What is the
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- Imagine that you were hired as a consultant by a local business owner tohelp her determine how many paid days off she should provide to her employees. In general, she wants to establish some sort of standard for her employees and for herself. Based on data provided by the government, you conclude that on average, workers in the United States take 14 paid days off per year. The data for the eight employees who work at the company you are consulting for are: 12, 9, 7, 12, 13, 14, 14, and 12 days. Thequestion you are trying to answer is, are the number of days off taken by the eight employees statistically different from the data provided by the US government? (I have stated the null and alternative hypotheses, and found that this is a two-tailed test. With alpha=0.05, I have found the t-critical value to be +/- 2.365, with DF=7)I need help with: A. Compute the appropriate test statistic. Use the computational formula tocompute the sample standard deviation. Show all formulas that you…arrow_forward. A school psychologist wants to test the effectiveness of a new method for teaching reading. She takes 500 first grade students from District 12 (all with the same teacher), and randomly assigns half of them to the traditional method and half of them to the new method for teaching reading. The students are not told which teaching method they are being taught with. At the end of the year, she obtains all scores on a reading achievement test, and looks for any differences between the two groups. a. What is the research objective? b. What type of study was used? Give the exact name. c. Does this study make use of random sampling, random assignment, both, or neither? How do you know? d. What are the explanatory and response variables? Explanatory Variable: Response Variable: e. What are the treatments? e. Was blinding used? If so, how?arrow_forwardSuppose in our school, 60% are male students, and 40% are female students. The percertage for getting grade A for all students is 25%, and for male students is 20%. What is the percertage for getting grade A for female students ? 13.0 20.0 32.5 34.5arrow_forward
- A problem with polling is whether or not people are willing to answer honestly. If a question might be viewed as shameful or embarrassing (about politics, sexual activity, etc.), they may be reluctant to answer honestly. A potential solution to this is the following: let's suppose that 'YES’ is the embarrassing or socially shameful answer. Give the people you are polling the following instructions: flip a coin privately, and if it comes up heads, you must answer honestly. However, if it comes up tails, you must answer 'YES’ regardless of what the truth is. This gives people л plausible deniability about why they answered yes, if pressed. Again, let p, be the fraction of people who said 'YES'. Let p be the probability that a randomly selected person says YES’. Let q be the probability that a person’s true answer is 'YES’. Note л again, we have that the expected value of p,, is p, but we are actually interested in N measuring q.arrow_forwardEach person in a representative sample of 448 college students age 18 to 24 was classified according to age and to the response to the following question: "How often have you used a credit card to buy items knowing you wouldn't have money to pay the bill when it arrived?" Possible responses were never, rarely, sometimes, or frequently. The responses are summarized in the table. Age 18 to 20 Age 21 to 22 Age 23 to 24 Never 70 62 29 Rarely 38 34 32 Sometimes 33 42 40 Frequently 12 24 32 A USE SALT Do these data provide evidence that there is an association between age group and the response to the question? Test the relevant hypotheses using a = 0.01. State the appropriate null and alternative hypotheses. Ho: The proportions falling into each of the three age groups are the same for all four responses to the question. The proportions falling into each of the three age groups are not the same for all four responses to the question. Ho: There is an association between age group and the…arrow_forwardThis past February1 a survey of n-Canadians between the ages of 18 and 34 years of age. The finding? Sixty-three percent (63%) of Canadians between the ages of 18 to 34 admit they have been knowingly been the victim of fraud or scam(s) at some point in their lifetime. Let p represent the proportion of all Canadians between the age of 18 and 34 years of age who admit to have knowingly been a victim of fraud or scam(s) at some point in their life. From this poll, we can ascertain that p = 0.63. A pollster is to randomly pick n = 500 Canadians between the age of 18 and 34 years of age.Compute the probability/chance that between 60% to 70% of those chosen will admit to have knowingly been a victim of fraud or scam(s) at some point in their life.arrow_forward
- Kindly assist with creating bar charts, or pie charts for the below results; Housekeeping respondents were questioned about their observations regarding changes or improvements in gender diversity over recent months or years. All respondents (100%) acknowledged witnessing recent promotions between both genders within Housekeeping and other departments. Similarly, 80% of Guest Services department respondents shared similar observations. Conversely, 75% of respondents from the food and beverage department indicated that they have not observed any changes or improvements in gender diversity, particularly within their own department.arrow_forwardDecide if each of the following statements is True or False. If a sample of n = 10 scores is transformed into z-scores, there will be five positive z-scores and five negative z-scores. True Falsearrow_forwardIn a bag of 330 chocolate candies, 34 of them are brown. The candy company claims that 13% of its plain chocolate candies are brown. For the following, assume that the claim of 13% is true, and assume that a sample consists of 330 chocolate candies. a. Values of ? brown candies or greater are significantly high.arrow_forward
- A teacher announces a pop quiz for which the student is completely unprepared. The quiz consists of 20 true-false questions. The student has no choice but to guess the answer randomly for all 20 questions. The accompanying table gives the 20 correct answers, which were actually randomly generated. Complete parts a. and b. below. a. How many questions can the student expect to answer correctly simply by guessing? b. What percentage of answers were true, and what percentage would you expect? Why are they not necessarily identical? The percentage of answers that were true was? The expected percentage of answers that would be true is? Why are these answers not necessarily identical? A. With random phenomena, the proportion of times that something happens is highly predictable in the short run. B. With random phenomena, the proportion of times that something happens is highly random and variable in the short run. C. With random phenomena, the…arrow_forwardTwenty-nine college students, identified as having a positive attitude about Mitt Romney as compared to Barack Obama in the 2012 presidential election, were asked to rate how trustworthy the face of Mitt Romney appeared, as represented in their mental image of Mitt Romney’s face. Ratings were on a scale of 0 to 7, with 0 being “not at all trustworthy” and 7 being “extremely trustworthy.” Here are the 29 ratings: 2.6 3.2 3.7 3.3 3.4 3.6 3.7 3.8 3.9 4.1 4.2 4.9 5.7 4.2 3.9 3.2 4.5 5.0 5.0 4.6 4.6 3.9 3.9 5.3 2.8 2.6 3.0 3.3 3.7 a 95% confidence interval for the mean rating. Is there significant evidence at the 5% level that the mean rating is greater than 3.5 (a neutral rating)?arrow_forwardA recent health survey 500 single young men yielded the following information: 385 were a member of a sports club, 155 were vegetarian, and 30 declined to answer the survey’s questions. What percent of the men were both members of a sports club and vegetarian? Draw a Venn diagram to illustrate the result of the survey.arrow_forward
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