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 informationtechnology, healthcare, real estate, and education. The following values are scaled down for ease ofanalysis.From the sample, 44 are in information technology with an average of $4.03 dollars in debt and a standarddeviation 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: All the means are equal.Ha: At least one mean is different from the others.Part 2 of 3Complete the following ANOVA summary table (a = 0.01). Round your answers to three decimal places, ifnecessary, and round any interim calculations to four decimal places.What is the overall mean? Use this as a check before you begin your calculations.SourceBetweenWithinTotalSSdfMSFP-value

It is given that there are four variables.

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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Based on research conducted by the government on people aged 25 to 34 years, on average, people in that age group spend $1,994 of their annual income on entertainment. Assume that the data are normally distributed with a standard deviation of $450. What percentage of the population in that age group spends between $2,500 and $3,000 per year for entertainment?
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, 45 are in information technology with an average of $4.03 dollars in debt and a standard deviation of $3.88. 52 are in the healthcare industry with an average of $5.84 dollars in debt and a standard deviation of $6.58. 30 are in real estate with an average of $4.79 dollars in debt and a standard deviation of $5.43. 30 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: All the means are equal. Ha: At least one mean is different from the others. ✓ Part 2 of 3 Complete the following ANOVA summary table (a = 0.01). Round your answers to three decimal places, if necessary, and round…
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( ? ♥ ?…
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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
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