With the following data on the stock prices of Coca-Cola Femsa (KOF) and the price and quotation index (IPC), calculate the returns ofboth data in Excel to calculate:Measures of central tendency of IPC and KOF a. Median b. Simple average c. 5-data moving averageMeasures of dispersion (Excel formula and least squares) a. Variance b. Covariance c. Standard deviationDataKOFIPC05/10/20 41.95999906/10/20 41.34999807/10/20 41.9808/10/20 42.349998 38131.781309/10/20 42.720001 38342.089812/10/20 42.7738478.578113/10/20 41.689999 38404.050814/10/20 41.330002 37418.789115/10/20 40.880001 36947.871116/10/20 41.049999 36740.328138075.487838059.230538025.7188

given data date KOF IPC 5/10/2020 41.959999 38075.4878 6/10/2020 41.349998 38059.2305…

Answered: With the following data on the stock…

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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disp hp qsec wt Use the following visualization to answer questions 2 - 4. mpg drat drat mpg qsec wt hp disp -1 -0.8 -0.6-0.4 -0.20 0.2 0.4 0.6 0.8 1
Table Physical Health Complaints and Burnout among Social Workers: One-Way Analysis of Variance Results Physical Health Complaints Low Burnout (n = 92) Middle Burnout (n = 93) High Burnout (n = 91) F(dfs) Respiratory infections M SD 5.7 2.3 7.0 3.0 8.8 3.7 23.8(2,273)* Overall Physical Health M SD 31.7 9.4 39.7 10.6 47.8 14.1 44.1(2,272)* * p < .05 Written Assignment Based on the information provided in the article excerpts and table, write a paragraph or two that describes and interprets the findings related to the one-way ANOVA presented in the table. Be sure to include sample size, relevant descriptive statistics, patterns in the data and an interpretation of the findings presented with supportive statistical information included. You do not need to talk about every number in the table, but you do need to include relevant statistical information to support your statements.
What is the Importance of Variability?
A bank wants to determine whether a customer's current balance can be used to predict future earning potential. What would be the most appropriate procedure to use to analyze data to answer this question? Only choose a test that handles multiple comparisons if such a test is needed. O Chi-square test of association O ANOVA (Analysis of Variance) O Regression Test of Slope or Correlation O Test for a Difference of Proportions O Test for a Difference of Means
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A brokerage firm wants to conduct a study to see if there is a linear relationship between the size of an account and the number of trades conducted each year. What would be the most appropriate procedure to use to analyze data to answer this question? Only choose a test that handles multiple comparisons if such a test is needed. O ANOVA (Analysis of Variance) O Regression Test of Slope or Correlation O Test for a Difference of Proportions O Chi-square test of association O Test for a Difference of Means
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The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm) of a sample of 40 people. Along with the paired sample data, the technologgy was also given a foot length of 10.8 cm to be used for predicting height. The technology found that there is a linear correlation between height and foot length. If someone has a foot length of 10.8 cm, what is the single value that is the best predicted height for that person? H Click the icon to view the technology output. The single value that is the best predicted height is cm. Technology Output (Round to the nearest whole number as needed.) The regression equation is Height - 67.5 +5.15 Foot Length Predictor Coef SE Coef Constant 67.52 11.07 6.10 0.000 Foot Length 5.1508 0.4817 10.69 0.000 S-5.50271 R-Sq = 73.18 R-Sq (adj) = 72.44 Predicted Values for New Observations New Obs Fit SE Fit 95 CI 954 PI 123.149 1.605 (119.732, 126.566) (111.996, 134.302) Values of Predictors for New…

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