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 score over 700 considered to be a quality credit risk. According to a survey, the mean credit score is 706.3. 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 45 high-income individuals and found the sample mean credit score to be 725.6 with a standard deviation of 81.6. Conduct the appropriate test to determine if high-income individuals have higher credit scores at the α = 0.05 level of significance.State the null and alternative hypotheses.H₀: μ [≤] [706.3]H₁: μ [>] [706.3](Type integers or decimals. Do not round.)

Answered: 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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The preeminent basketball philosopher Rasheed Wallace popularized the phrase, "Ball don't Lie." This phrase means that if a foul was called incorrectly, the free-throw shooter is more likely to miss their shots. (We can think of this as a sort of Basketball Karma.) Due to the recent "Last Two Minute Report," we now have some data to test this claim. Of the 177 free throws awarded incorrectly, the shooter made 78.5%. Use this information to test the claim, with a .05 level of significance, that the percentage of made free throws after an incorrect foul call is less than 80%, which is the FT Percentage for an average NBA player. Round your answers to three decimal places or to the nearest tenth of a percent. (e.g. .021 or 2.1%) For credit, the hypothesis test must contain: 1) Claim in terms of the appropriate parameter (e.g. LaTeX: \mu=\:4.5\:miles) 2) Null and alternative hypothesis 3) Sample evidence used 4) Test stat (z or t) , p-value and direction of test. (right, left or…
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An article in the Washington Post on March 16, 1993 stated that nearly 45 percent of all Americans have brown eyes. A random
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he Computer Anxiety Rating Scale (CARS) measures an individual’s level of computer anxiety, on a scale from 20 (no anxiety) to 100 (highest level of anxiety). Researchers at Miami University administered CARS to 172 business students. One of the objectives of the study was to determine whether there are differences in the amount of computer anxiety experienced by students with different majors. They found the following: Major n Mean Marketing 19 44.37 Management 11 43.18 Other 14 42.21 Finance 45 41.80 Accountancy 36 37.56 MIS 47 32.21 (A) Complte the following ANOVA table: Source of Variation SS df MS F-ratio F-crit Between groups 3172 5 634.4 4.9567 2.2685 Within groups 21246 166 127.988 Total 24418 171 (A) At the 0.05 level of significance, is there evidence of a difference in the mean computer anxiety…
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