For this homework, we will be revisiting the age data used in homework.#2:18 18 18 19 19 19 19 192019 19 19 19 1921 21 21 22 22 22 23 24 26 28 313220 20 2036 41 441) Find a 98% confidence interval for the mean age of PSU Stat 243students (and record the bounds to 2 decimal places). Do themedian and mode fall into this range? If we want the margin oferror to be less than 1 year, how many total students should wesample?107

using excel we find sample mean sd ,mode ,median and critical value

Answered: For this homework, we will be…

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 two, box and whisker diagrams below show the percentage marks obtained by two Grade 12 classes. Each class has 26 learners. Class A Class B O 10 20 30 40 50 60 70 80 90 100 The percentage marks for Class A, arranged in order, are given below: F: 58 60 62 62 63 65 65 66 66 66 66 67 69 70 71 73 73 90 [SASAMS database] 75 75 75 H 80 83 85 NOTE: Fis the lowest percentage mark H is a percentage mark between 75 and 80
Students in an experimental psychology class did research on depression as a sign of stress. A test was administered to a sample of 30 students. The scores are given. Complete parts (a) through (c) below. 44 43 32 17 32 43 38 15 58 46 54. 14 (a) Find the mean and median of the data. The mean is 27 34 41 53 31 23 GRAPE (Round to three decimal places as needed.) 48 31 35 28 33 25 28 53 34 28 16 37 19
The number of heart surgeries performed at a hospital has increased over the past several years. The hospital’s administration is seeking the best method to forecast the demand for such surgeries in Year 6. The data for the past five years is shown. Year Demand 1 130 2 139 3 135 4 144 5 141 The hospital is considering the following forecasting methods. Compare the performance of these methods using the mean squared error (MSE). Begin error measurements in year 3 so all methods are compared for the same years. Exponential smoothing, with α = 0.5. let the initial forecast for year 1= 130, the same as the actual demand. Two-year simple moving average Two-year weighted moving average, using weights 0.7 and 0.3, with more recent data given more weight. Solve this problem on a separate paper. Then, use the results to complete the tables provided below, save the file and then submit it on E-learning. 1- Exponential smoothing: Year Forecast…
Please answer all
31
Do E) i ii & iii please
Exhibit 2 The management of a department store is interested in estimating the difference between the mean credit purchase of customers using the stores credit card versus those customers using a national major credit card. You are given the following information: STORES CARD MAJOR CREDIT CARD Sample Size 75 52 Sample Mean $185 $150 Sample Std Dev $12 $8 Q21a = Refer to Exhibit 2. A Point estimate for the difference between the mean purchases of the users of the two credit cards is:
The Management Department recently purchased a smallcopier for faculty use. Although the workload of the office staff has improved somewhat, the secretaries are still mak-ing too many trips to the Dean’s office when the depart-mental copier is out of service. Sylvia, the departmental secretary, has been keeping track of failure rates and ser-vice times. With a mean time between failures of 100 hours and a mean time to repair of 24 hours, how much of thetime is the new copier available for faculty use?
Hoaglin, Mosteller, and Tukey (1983) presented data on blood levels of beta-endorphin as a function of stress. They took beta-endorphin levels for 19 patients 12 hours before surgery and again 10 minutes before surgery. The data are presented below, in fmol/ml Construct a 95% confidence limits on the true mean difference between endorphin levels at the two times described. Participant 12 hours before 10 minutes before 1 10 6.5 2 6.5 14.0 3 8.0 13.5 4 12 18 5 5.0 14.5 6 11.5 9.0 7 5.0 18.0 8…
Use Excel’s Data Analysis tool to conduct a multiple regression, using Risk of Stroke as the dependent variable, and all the rest of variables as independent variables. Choose confidence level at 99%. Risk of Stroke (%) Age Pressure Smoker (Yes=1) 12 57 152 0 24 67 163 0 13 58 155 0 56 86 177 1 28 59 196 0 51 76 189 0 18 56 155 1 31 78 120 0 37 80 135 1 15 78 98 0 22 71 152 0 36 70 173 1 15 67 135 1 48 77 209 0 15 60 199 0 36 82 119 1 8 66 166 0 34 80 125 1 3 62 117 0 37 59 207 1 Interpret the multiple coefficient of determination R-square. Compare the R-square of the simple linear regression and the R-square of the multiple regression, what does the differences in R-squares tell us? What does F-test for significance tell us?
please complete the blank problem and or ones with a red x next to it not ones with a green check next to please

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