I need this ASAP, please. The average student loan debt is reported to be $25,235. A student belives that the student loan debt ishigher in her area. She takes a random sample of 100 college students in her area and determines themean to be $27,524 and the standard devition to be $6000. Is there sufficient evidence to support thestudent' claim at a 5% significance level?a) Determine the null and alternative hypotheses.Ho: μ=Ha: Select an answer ✓b) Determine the test statistic. Round to two decimals.t =c) Find the p-value. Round to 4 decimals.P-value =d) Make a decision.Reject the null hypothesisO Fail to reject the null hypothesis(Put in the correct symbol and value)e) Write the conclusion.There is sufficient evidence to support the claim that student loan debt is higher than $25,235.O There is not sufficient evidence to support the claim that student loan debt is higher than $25,235.

Given,Sample size(n)=100sample mean(μ)=$27,524Standard deviation(s)=$6000and α=0.05

Answered: The average student loan debt is…

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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TYPEWRITTEN ONLY PLEASE FOR UPVOTE. DOWNVOTE FOR HANDWRITTEN. DO NOT ANSWER IF YOU ALREADY ANSWERED THIS. I'LL DOWNVOTE.
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Sarah studies Business and Management and she also has a part-time job as a waitress at a restaurant. The restaurant does not include service charges in their bills, and therefore Sarah often receives tips from the customers. Some customers give her very generous tips, while others leave hardly anything or nothing at all. Sarah began to wonder what the size of the tip may depend on. Just out of curiosity, she started to keep a record of the total prices on the bills and the tips she received. At first, she fit a simple linear regression model to the data and found that the size of the tip was significantly related to the total price. But at this point, she speculated that the tips may be affected by other factors as well, and an even better model could possibly be constructed by including further independent variables. For instance, the chef who prepares the dish(es) might affect the customers' satisfaction. The restaurant employs three chefs: Richard, Thomas, and Linda. Sarah decides…
Sarah studies Business and Management and she also has a part-time job as a waitress at a restaurant. The restaurant does not include service charges in their bills, and therefore Sarah often receives tips from the customers. Some customers give her very generous tips, while others leave hardly anything or nothing at all. Sarah began to wonder what the size of the tip may depend on. Just out of curiosity, she started to keep a record of the total prices on the bills and the tips she received. At first, she fit a simple linear regression model to the data and found that the size of the tip was significantly related to the total price. But at this point, she speculated that the tips may be affected by other factors as well, and an even better model could possibly be constructed by including further independent variables. For instance, the chef who prepares the dish(es) might affect the customers' satisfaction. The restaurant employs three chefs: Richard, Thomas, and Linda. Sarah decides…
Ate Guy sells a particular model of fans, with most of the sales being made in the summer months. Ate Guy makes a one-time purchase of the fans prior to each summer season at a cost of P40 each and sells each fan for P60. Any fans unsold at the end of the summer season are marked down to P29 and sold in a special rainy season sale. Virtually all marked-down fans are sold. The following is the number of sales of fans during the past summers: 30, 50, 30, 60, 10, 40, 30, 30, 20, 40. (a) Estimate the mean and variance of the demand for fans each summer. (b) Assume that the demand for fans each summer follows a normal distribution, with mean and variance given by what you obtained in (a). Determine the optimal number of fans for Ate Guy to buy prior to each summer season.
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ou are thinking of making your home more energy efficient by replacing some of the light bulbs with compact fluorescent bulbs and insulating part or all of your exterior walls. Each compact fluorescent light bulb costs $4 and saves you an average of $2 per year in energy costs, and each square foot of wall insulation costs $1 and saves you an average of $0.20 per year in energy costs.+ Your home has 40 light fittings and 1,300 square feet of uninsulated exterior wall. You can spend no more than $1,400 and would like to save as much per year in energy costs as possible. How many compact fluorescent light bulbs and how many square feet of insulation should you purchase? (If an answer does not exist, enter DNE.) compact fluorescent light bulbs
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