A credit score is used by credit agencies (such as mortgage companies and banks) to assess the creditworthiness of individuals. Values range from 300 to 850, with a credit scoreover 700 considered to be a quality credit risk. According to a survey, the mean credit score is 700.4. A credit analyst wondered whether high-income individuals (incomes in excess of$100,000 per year) had higher credit scores. He obtained a random sample of 34 high-income individuals and found the sample mean credit score to be 716.2 with a standarddeviation of 81.1. Conduct the appropriate test to determine if high-income individuals have higher credit scores at the a= 0.05 level of significance.***to 1.14 (Round to two decimal places as needed.).Identify the P-value.P-value 0.132 (Round to three decimal places as needed.)Make a conclusion regarding the hypothesis.4the null hypothesis. Theresufficient evidence to claim that the mean credit score of high-income individuals isHelp me solve this View an example Get more help.Type here to searchOO8THClear all96°F Mostly sunnyCheck answer4:43 PM6/18/2022

Given:Mean(x)=716.2Standard deviation(s)=81.1Sample size(n)=34α=0.05

Answered: score A credit score is used by credit…

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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In 1993, presidential candidate Ross Perot appeared on television to voice his opinions on government reform. To gauge public opinion, Perot urged viewers to fill out the survey appearing in that week's issue of TV Guide. Of the approximately 1.4 million respondents, 98 percent agreed with Ross Perot's platform on health care reform. The sample obtained was a sample. (Data from EESEE.) Your answer: Need help on this question? Get a hint Show answer Read the ebook page on this topic
google scholar - Go... Google Scholar / Patriot Web - A Self... billing and pay University Libraries,.. ¥ Question Completion Status: QUESTION 16 Solve the problem. The overnight shipping business has skyrocketed in the last ten years. The single greatest predictor of a company's success is customer service. A study was conducted to determine the customer satisfaction levels for one overnight shipping business. In addition to the customer's satisfaction level, the customers were asked how often they used overnight shipping. The results are shown below in the following table: Satisfaction level Frequency of Use 5per month TOTAL High Medium Low ТОTAL 250 140 10 400 140 55 200 70 25 100 460 220 20 700 Suppose that one customer who participated in the study is chosen at random. What is the probability that the customer did not have a high level of satisfaction with the company? 3. 23 35 12 35 Sa Click Save amd Sybmir to sote and submit. Chick Saue All Ansuers to eeve allaniswers, 55
State whether the mean, median, mode is being used. a. In 2002,there were as many people aged 25 and younger in the world as there were people age 25 and older. The majority of full time students carry a load of 15 credit hours per semester. The Average annual return on investment is 16.5 percent.
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A polling website publishes the results of a new survey each day. At the end of the survey results, you'll find a statement that includes an explanation such as the one shown below. Complete parts a and b below. These results are based on face-to-face interviews with 1,000 adults, aged 15 and older, conducted in 2015 in several countries. For results based on the total sample of national adults, one can say with 95% confidence that the maximum margin of sampling error ranges from +3.4 percentage point to 4.0 percentage points. The margin of error reflects the influence of data weighting. In adition to sampling error, question wording and practical difficulties in conducting surveys can introduce error or bias into the findings of public opinion polls. ..... a) The website is interested in the opinions of residents of a certain region. What kind of survey design are they using? A. Multistage sampling B. Stratified random sampling C. Cluster sampling D. Simple random sampling b) Some of…
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Hurricane Andrew swept through southern Florida causing billions of dollars of damage. Because of the severity of the storm and the type of residential construction used in this semitropical area, there was some concern that the average claim size would be greater than the historical average hurricane claim of $25,500. Several insurance companies collaborated in a data gathering experiment. They randomly selected 26 homes and sent adjusters to settle the claims. In the sample of 26 homes, the average claim was $28,000 with a population standard deviation of $6300. Is there sufficient evidence at a 0.01 significance level to support the claim that the home damage is greater than the historical average? Assume the population of insurance claims is approximately normally distributed. Step 1 of 3: State the null and alternative hypotheses for the test. Fill in the blank below. Ho 25,500 Ha H. 25,500
Sleep apnea is a condition in which the sufferers stop breathing momentarily while they are asleep. This condition results in lack of sleep and extreme fatigue during waking hours. A current estimate is that 16.3 million out of the 312.7 million Americans suffer from sleep apnea, or approximately 5.2%. A safety commission is concerned about the percentage of commercial truck drivers who suffer from sleep apnea. They do not have any reason to believe that it would be higher or lower than the population’s percentage. To test the claim that the percentage of commercial truck drivers who suffer from sleep apnea is not 5.2%, a simple random sample of 380380 commercial truck drivers is examined by a medical expert, who concludes that 29 suffer from sleep apnea. Does this evidence support the claim that the percentage of commercial truck drivers who suffer from sleep apnea is not 5.2%? Use a 0.01 level of significance. Step 1 of 3 : State the null and alternative hypotheses for the test.…
Based on market sales figures, approximately 7.9% of car owners in California own an electric or plug-in hybrid vehicle (EV). A marketing director at a local car dealership would like to know if their sales of EV's is any greater than what the state's sales proportions are. To examine this, they look over the last 500 sales (which they consider to be a representative sample of all car sales) and determine that 10.4% of those were EV sales. Is this statistically significant evidence that the dealership sells a higher proportion of EV's than the overall state's proportion? Which of the following are the correct null and alternative hypotheses for the hypothesis test used to determine significance? Ho:p = 0.079 Haip > 0.079 %3D O Ho:p = 0.079 Hai p > 0.104 O Ho:p 0.079 O Ho:p 0.104

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