**Credit Card Application Data Analysis - 1987**A dataset from 1987 provides insights into credit card applications and approvals for 690 applicants. The focus is on analyzing debt amounts across various industries, specifically: information technology, healthcare, real estate, and education. Values are scaled for ease of analysis.**Sample Data:**- **Information Technology:** 45 applicants, average debt of $4.03, standard deviation $3.88.- **Healthcare:** 52 applicants, average debt of $5.84, standard deviation $6.58.- **Real Estate:** 30 applicants, average debt of $4.79, standard deviation $5.43.- **Education:** 30 applicants, average debt of $8.21, standard deviation $6.25.**Hypotheses:**- $ H_0 $: All the means are equal.- $ H_a $: At least one mean is different from the others.**ANOVA Summary Table (α = 0.01):**- Complete the table, rounding answers to three decimal places, and interim calculations to four decimal places.**Overall Mean:**- Calculate and use as a check before starting calculations.**ANOVA Table Layout:**| Source | SS | df | MS | F | P-value ||---------|-----|-----|-----|----|---------|| Between | | | | | || Within | | | | | || Total | | | | | |Fill in calculations to compare the industry means and determine if there are significant differences at the 0.01 significance level.

Answered: A dataset from 1987 contains…

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 average McDonald's restaurant generates $3.6 million in sales each year with a standard deviation of 0.9. Trent wants to know if the average sales generated by McDonald's restaurants in Kentucky is different than the worldwide average. He surveys 27 restaurants in Kentucky and finds the following data (in millions of dollars): 4.1, 2.8, 4.4, 4.5, 5.3, 5, 3.7, 2.9, 3.8, 4.8, 3.6, 2.3, 3.7, 2.9, 2.9, 4, 1.1, 5.2, 2.9, 5, 4, 4, 5.9, 3.2, 2.2, 4.3, 3.8 Perform a hypothesis test using a 3% level of significance. Step 1: State the null and alternative hypotheses. Ho: [? v] ? v На: ? ? v (So we will be performing a Select an answer test.) Step 2: Assuming the null hypothesis is true, determine the features of the distribution of point estimates using the Central Limit Theorem. By the Central Limit Theorem, we know that the point estimates are Select an answer v with distribution mean and distribution standard deviation Step 3: Find the p-value of the point estimate. P( ? v ? v = P( ? ♥ ?…
A dataset from 1987 contains information about credit card applications and approvals for 690 applicants. We are interested in looking at the amount of debt across industries, specifically between information technology, healthcare, real estate, and education. The following values are scaled down for ease of analysis. From the sample, 44 are in information technology with an average of $4.03 dollars in debt and a standard deviation of $3.88. 55 are in the healthcare industry with an average of $5.84 dollars in debt and a standard deviation of $6.58. 33 are in real estate with an average of $4.79 dollars in debt and a standard deviation of $5.43. 20 are in education with an average of $8.21 dollars in debt and a standard deviation of $6.25. Fill in the hypotheses below: Ho: Select an answer Ha: Select an answer
1. According to one study, the average hours of sleep on a weeknight for men was 6.9 hours with a standard deviation of 1.5 hours. a. Find the proportion of men who sleep for more than 8 hours per night. b. Find the proportion of men who sleep for less than 6 hours per night. c. Find the proportion of men who sleep between 6-8 hours per night. d. Find the number of hours that represents the 90th percentile.
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Identify the statistic that is used to estimate a. a population mean.b. a population standard deviation.

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