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). 50004500400035003000250020001500100050002019-12-01●●2020-03-102020-06-182020-09-26Status of Covid Case Reported2021-01-042021-04-142021-07-23Active ● Recovered ● Deceased●2021-10-312022-02-082022-05-192022-08-27 Graph 2:ActiveMeanMedianModeRangeStandardDeviationSampleVarianceQuartilesActive CasesRecoveredQ1069Q20183.5Q30502.5IQR for Active Cases = Q3 - Q1 = 0 - 0 = 0IQR for Recovered Cases = Q3 – Q1 = 502.5 – 69 = 433.5IQR for Deceased Cases = Q3 - Q1 =8-0=84.90560040536.8701361.0843RecoveredMeanMedianModeRangeStandardDeviationSampleVariance392.378183.517, 14543565.86033320197.924DeceasedMeanMedianModeRangeStandardDeviationSampleVariance5.21200920607.3653254.31450Deceased028

For Active, Mean=4.9056 Median=0 There is no mode in the data That is, the mean is greater than the…

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).

5000
4500
4000
3500
3000
2500
2000
1500
1000
500
0
2019-12-01
●●
2020-03-10
2020-06-18
2020-09-26
Status of Covid Case Reported
2021-01-04
2021-04-14
2021-07-23
Active ● Recovered ● Deceased
●
2021-10-31
2022-02-08
2022-05-19
2022-08-27

Graph 2:
Active
Mean
Median
Mode
Range
Standard
Deviation
Sample
Variance
Quartiles
Active Cases
Recovered
Q1
0
69
Q2
0
183.5
Q3
0
502.5
IQR for Active Cases = Q3 - Q1 = 0 - 0 = 0
IQR for Recovered Cases = Q3 – Q1 = 502.5 – 69 = 433.5
IQR for Deceased Cases = Q3 - Q1 =8-0=8
4.9056
0
0
405
36.870
1361.0843
Recovered
Mean
Median
Mode
Range
Standard
Deviation
Sample
Variance
392.378
183.5
17, 1
4543
565.86033
320197.924
Deceased
Mean
Median
Mode
Range
Standard
Deviation
Sample
Variance
5.212009
2
0
60
7.36532
54.31450
Deceased
0
2
8

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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