Data Management - Statistical AnaylsisPer the following graph, explain the reason for every statistic that is calculated. For example, You have a scatter plot of an hourly wages vs level of education, the trend is represented by a cubic curve with R^2=0.999. It can mean that the relationship of the level of education vs the hourly wages has a cubic trend as the cubic model suits well the set of data (R^2 is very close to 1). Graph 13:ProbableFatal CasesCasesMean5782.5Mean2130Median5782.5Median2130Mode60, 11505Mode7, 4253Range11445Range4246Standard5722.5Standard2123DeviationDeviationSample65494013 Sample Variance 9014258VarianceQuartilesProbable CasesFatalQ1UnknownUnknownQ25782.52130Q3UnknownUnknownIQR for Probable Cases = Q3 - Q1 = Unknown - Unknown = UnknownIQR for Fatal Cases = Q3 – Q1 = Unknown - Unknown = UnknownIQR for Active Cases = Q3 – Q1 = Unknown - Unknown = UnknownActiveCasesMeanMedianModeRangeStandardDeviationSampleVariance255925591115,4003288814444170272ActiveUnknown2559Unknown 14000120001000080006000400020000Number of Probable, Fatal, and Active Covid CasesFatal CasesProbable CasesNewly ReportedCumulative CountActive Cases

For probable cases, Mean=5782.5 Median=5782.5 Mode=60, 11505 The average number of probable cases is…

Answered: Per the following graph, explain the…

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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Data Management - Statistical Anaylsis

Per the following graph, explain the reason for every statistic that is calculated.

For example, You have a scatter plot of an hourly wages vs level of education, the trend is represented by a cubic curve with R^2=0.999. It can mean that the relationship of the level of education vs the hourly wages has a cubic trend as the cubic model suits well the set of data (R^2 is very close to 1).

Graph 13:
Probable
Fatal Cases
Cases
Mean
5782.5
Mean
2130
Median
5782.5
Median
2130
Mode
60, 11505
Mode
7, 4253
Range
11445
Range
4246
Standard
5722.5
Standard
2123
Deviation
Deviation
Sample
65494013 Sample Variance 9014258
Variance
Quartiles
Probable Cases
Fatal
Q1
Unknown
Unknown
Q2
5782.5
2130
Q3
Unknown
Unknown
IQR for Probable Cases = Q3 - Q1 = Unknown - Unknown = Unknown
IQR for Fatal Cases = Q3 – Q1 = Unknown - Unknown = Unknown
IQR for Active Cases = Q3 – Q1 = Unknown - Unknown = Unknown
Active
Cases
Mean
Median
Mode
Range
Standard
Deviation
Sample
Variance
2559
2559
1115,
4003
2888
1444
4170272
Active
Unknown
2559
Unknown

14000
12000
10000
8000
6000
4000
2000
0
Number of Probable, Fatal, and Active Covid Cases
Fatal Cases
Probable Cases
Newly Reported
Cumulative Count
Active Cases

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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