TextEditFile EditFormat ViewWindow HelpE Confidence Intervals Assignment (2).rtf v1v HelveticaC RegularE 12 vBIVED 1.0 :E2. Collette is self-employed, selling items at Home Interior parties. She wants to estimatethe average amount a client spends at each party. A random sample of 35 clients' receiptsgave a sample mean of $34.70 and historically we know the population standarddeviation of spending at these parties to be $4.85.a. Explain why you may assume your data is normally distributed.b. Find a 90% confidence interval for the average amount expected to be spent by agiven client at a party.c. Write a brief explanation of the meaning of the confidence interval in the contextof this problemd. For a party with 35 clients, use part (b) to estimate a range of dollar values forCollette's total sales at that party.Vou ara conducting a curvey ofthe total eradit houre etudents take each semaster otSurryWE N25MacBook Airesc30F3888F4FS%23%244.&3.8.WR.tabY.

We have given that Sample mean = 34.70 Population standard deviation = 4.85 Sample size = 35 Note:…

Answered: 2. Collette is self-employed, selling…

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 problem below asks you to compare 4 different forecasting methodologies to determine which forecasting model results in the most accurate forecasts. Accuracy is determined by the lowest mean absolute deviation. Emergency calls to the 911 system of Greenville County for the past 24 weeks are shown below. Accurate forecasts are needed to determine the number of operators needed to staff the station. Week # of Calls 1 50 2 35 3 25 4 40 5 45 6 35 7 20 8 30 9 35 10 20 11 15 12 40 13 55 14 35 15 25 16 55 17 55 18 40 19 35 20 60 21 75 22 50 23 40 24 65 1. EXPONENTIAL SMOOTHING Compute the forecasts using α = .2. Calculate the MAD for weeks 4 through 24 only. Compute the forecasts using α = .6. Calculate the MAD for weeks 4 through 24 only. 2. SIMPLE LINEAR REGRESSION Use all of the data, weeks 1 - 24, to calculate the…

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