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1. Using the above data we obtain the following descriptive statistics Deaths PCRTests Admissions 197.602 141858.6 135779 68461.62 22763 296559 0.46 Мean 652.9793 Median Standard dev Minimum 54.5 364 285.9657 743.6628 68 3564 1.92 Maximum 1073 Skewness Kurtosis Observations 1.59 4.18 2.21 6.29 196 175 193 Note that the number of observations vary across the variables (a) Compare daily mean and median deaths in the UK over this period. What conclusion would you draw from this comparison. (b) Suppose the first quartile of the distribution of PCRTests is 85880 and the third quartile value of the variable is 188974, calculate its interquartile range. Interpret the number. (c) Suppose the histogram of the distribution of daily hospital admissions is as follows: 2000 newAdmissions 1000 3000 4000 What conclusion would you draw about the shape of the distribution of the variable? Provide evidence in support of your answer.

1. Using the above data we obtain the following descriptive statistics Deaths PCRTests Admissions 197.602 141858.6 135779 68461.62 22763 296559 0.46 Мean 652.9793 Median Standard dev Minimum 54.5 364 285.9657 743.6628 68 3564 1.92 Maximum 1073 Skewness Kurtosis Observations 1.59 4.18 2.21 6.29 196 175 193 Note that the number of observations vary across the variables (a) Compare daily mean and median deaths in the UK over this period. What conclusion would you draw from this comparison. (b) Suppose the first quartile of the distribution of PCRTests is 85880 and the third quartile value of the variable is 188974, calculate its interquartile range. Interpret the number. (c) Suppose the histogram of the distribution of daily hospital admissions is as follows: 2000 newAdmissions 1000 3000 4000 What conclusion would you draw about the shape of the distribution of the variable? Provide evidence in support of your answer.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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1. Using the above data we obtain the following descriptive statistics EFFE Deaths PCRTests Admissions Мean 197.602 141858.6 652.9793 Median Standard dev Minimum 135779 68461.62 54.5 364 743.6628 285.9657 22763 296559 68 3564 Maximum 1073 Skewness 1.59 0.46 1.92 Kurtosis 4.18 196 2.21 175 6.29 193 Observations Note that the number of observations vary across the variables (a) Compare daily mean and median deaths in the UK over this period. What conclusion would you draw from this comparison. (b) Suppose the first quartile of the distribution of PCRTests is 85880 and the third quartile value of the variable is 188974, calculate its interquartile range. Interpret the number. (c) Suppose the histogram of the distribution of daily hospital admissions is as follows: 1000 2000 newAdmissions 3000 4000 What conclusion would you draw about the shape of the distribution of the variable? Provide evidence in support of your answer. (d) Define coefficient of variation. Using the data for daily deaths and daily admissions calculate and compare the two coefficients of variation. (e) What is the relationship between covariance and correlation between two variables? Explain. Suppose the correlation matrix between the three variables in this data is given by: Deaths PCRTest Admissions | 1.0000 PCRTests | -0.5945 1.0000 Admissions | 0.9582 -0.4870 1.0000 Deaths
Transcribed Image Text:1. Using the above data we obtain the following descriptive statistics EFFE Deaths PCRTests Admissions Мean 197.602 141858.6 652.9793 Median Standard dev Minimum 135779 68461.62 54.5 364 743.6628 285.9657 22763 296559 68 3564 Maximum 1073 Skewness 1.59 0.46 1.92 Kurtosis 4.18 196 2.21 175 6.29 193 Observations Note that the number of observations vary across the variables (a) Compare daily mean and median deaths in the UK over this period. What conclusion would you draw from this comparison. (b) Suppose the first quartile of the distribution of PCRTests is 85880 and the third quartile value of the variable is 188974, calculate its interquartile range. Interpret the number. (c) Suppose the histogram of the distribution of daily hospital admissions is as follows: 1000 2000 newAdmissions 3000 4000 What conclusion would you draw about the shape of the distribution of the variable? Provide evidence in support of your answer. (d) Define coefficient of variation. Using the data for daily deaths and daily admissions calculate and compare the two coefficients of variation. (e) What is the relationship between covariance and correlation between two variables? Explain. Suppose the correlation matrix between the three variables in this data is given by: Deaths PCRTest Admissions | 1.0000 PCRTests | -0.5945 1.0000 Admissions | 0.9582 -0.4870 1.0000 Deaths
DATA The following is the daily data on Covid-19 deaths, PCR test and hospital admissions done during in the UK during 1st April 2020 till 14 October 2020 available from the UK government website. Variable list: Deaths: Number of daily deaths within 28 days of positive Covid tests PCRTests: Number of daily PCR tests carried out for Covid identification Admissions: Number of daily hospital admissions
Transcribed Image Text:DATA The following is the daily data on Covid-19 deaths, PCR test and hospital admissions done during in the UK during 1st April 2020 till 14 October 2020 available from the UK government website. Variable list: Deaths: Number of daily deaths within 28 days of positive Covid tests PCRTests: Number of daily PCR tests carried out for Covid identification Admissions: Number of daily hospital admissions
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