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The value of x^2

The value of x^2

MATLAB: An Introduction with Applications
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 value of x^2
K The normal quantile plot or a chi-squared test can be used to check for normality. For that, data are grouped into bins, converting numerical data into categorical data. The accompanying figure shows the norm quantile plot of daily stock returns on the value-weighted total market index for a country. The accompanying table counts the number of returns falling into 8 intervals. The table includes the count expected un the assumption that these data are normally distributed, using the sample mean x=0.0009629 with SD=0.0161. Complete parts a through e below. Click the icon to view the normal quantile plot of daily stock returns. Click the icon to view the table of 10/11 OA. The sample mean would decre OB. The expected counts would be C. The expected counts would be OD. The standard deviation of the (c) Compute the chi-squared test of go hypotheses for this test. OA. Ho: The stock returns have eq Ha: The stock returns have no OC. Ho: The stock returns have a p Ha: The stock returns have a p The value of x² is (Round to two decimal places as needed.) Stock Return Data Table Range x ≤ -0.03 -0.03< x≤ -0.02 -0.02 x ≤ -0.01 -0.01 < x ≤0 0< x ≤0.01 0.01 < x ≤0.02 0.02 x ≤0.03 0.03 < x Total Print Count 17 19 55 127 179 66 22 15 500 Expected Count 13.61 34.61 75.75 114.10 118.28 84.39 41.43 17.83 Done X in order to find the expected counts. State the null (Ho) and alternative (H₂) urns are not normally distributed over the intervals urns are normally distributed over the intervals urns are normally distributed over the intervals urns are not normally distributed over the intervals
Transcribed Image Text:K The normal quantile plot or a chi-squared test can be used to check for normality. For that, data are grouped into bins, converting numerical data into categorical data. The accompanying figure shows the norm quantile plot of daily stock returns on the value-weighted total market index for a country. The accompanying table counts the number of returns falling into 8 intervals. The table includes the count expected un the assumption that these data are normally distributed, using the sample mean x=0.0009629 with SD=0.0161. Complete parts a through e below. Click the icon to view the normal quantile plot of daily stock returns. Click the icon to view the table of 10/11 OA. The sample mean would decre OB. The expected counts would be C. The expected counts would be OD. The standard deviation of the (c) Compute the chi-squared test of go hypotheses for this test. OA. Ho: The stock returns have eq Ha: The stock returns have no OC. Ho: The stock returns have a p Ha: The stock returns have a p The value of x² is (Round to two decimal places as needed.) Stock Return Data Table Range x ≤ -0.03 -0.03< x≤ -0.02 -0.02 x ≤ -0.01 -0.01 < x ≤0 0< x ≤0.01 0.01 < x ≤0.02 0.02 x ≤0.03 0.03 < x Total Print Count 17 19 55 127 179 66 22 15 500 Expected Count 13.61 34.61 75.75 114.10 118.28 84.39 41.43 17.83 Done X in order to find the expected counts. State the null (Ho) and alternative (H₂) urns are not normally distributed over the intervals urns are normally distributed over the intervals urns are normally distributed over the intervals urns are not normally distributed over the intervals
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