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(Statistical Anaylsis) For 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).

(Statistical Anaylsis) For 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).

College Algebra
College Algebra
1st Edition
ISBN:9781938168383
Author:Jay Abramson
Publisher:Jay Abramson
Chapter9: Sequences, Probability And Counting Theory
Section9.5: Counting Principles
Problem 4SE: Answer the following questions. 4. Describe how the permutation of ii objects differs from the...
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(Statistical Anaylsis)

For 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 12: Male Female Total Hospitaliz Hospitalizatio Hospitalizations ns ations Count Mean 114 Mean 108 Mean Median 35 Median 37 Median Mode 23 Mode 2, 3, 20, Mode 26, 48, 150, 183, 432 453 430 Range Range Standard Range Standard 145.92035 138.15480 Standard Deviation 49886 Deviation 447672 Sample 24334.571 Sample Variance 21813.429 Sample Variance Variance Unknown Sex Hospitalizations Mean 0.75 Median 0 Mode 0 Range 3 1.0897247358852 Standard Deviation Sample Variance 1.3571429 Quartiles Male Female Hospitalizations Total Hospitalizations Hospitalizations Q1 14 11.5 25 Q2 35 37 72 Q3 177.5 166.5 345.5 IQR for Male Hospitalizations = Q3 Q1 = 177.5 -14=163.5 IQR for Female Hospitalizations = Q3 Q1 = 11.5 166.5 = 155 IQR for Total Hospitalizations Count = Q3 Q1 = 345.5-25 = 320.5 IQR for Unknown Sex Hospitalizations = Q3 Q1 = 1.5-0 = 1.5 22.75 72 6, 7, 43, 49, 95, 324, 367, 891 885 285.03629 154899 92852.214 Unknown Sex 0 0 1.5 Deviation 15
Transcribed Image Text:Graph 12: Male Female Total Hospitaliz Hospitalizatio Hospitalizations ns ations Count Mean 114 Mean 108 Mean Median 35 Median 37 Median Mode 23 Mode 2, 3, 20, Mode 26, 48, 150, 183, 432 453 430 Range Range Standard Range Standard 145.92035 138.15480 Standard Deviation 49886 Deviation 447672 Sample 24334.571 Sample Variance 21813.429 Sample Variance Variance Unknown Sex Hospitalizations Mean 0.75 Median 0 Mode 0 Range 3 1.0897247358852 Standard Deviation Sample Variance 1.3571429 Quartiles Male Female Hospitalizations Total Hospitalizations Hospitalizations Q1 14 11.5 25 Q2 35 37 72 Q3 177.5 166.5 345.5 IQR for Male Hospitalizations = Q3 Q1 = 177.5 -14=163.5 IQR for Female Hospitalizations = Q3 Q1 = 11.5 166.5 = 155 IQR for Total Hospitalizations Count = Q3 Q1 = 345.5-25 = 320.5 IQR for Unknown Sex Hospitalizations = Q3 Q1 = 1.5-0 = 1.5 22.75 72 6, 7, 43, 49, 95, 324, 367, 891 885 285.03629 154899 92852.214 Unknown Sex 0 0 1.5 Deviation 15
1000 900 800 700 600 500 400 300 200 100 0 12 to 19 Male Hospitalizations 0 to 4 Number of Hospitalization by Gender 20 to 39 40 to 59 5 to 11 Female Hospitalizations Total Hospitalizations Count 60 to 79 All ages 80 Unknown Sex Hospitalizations
Transcribed Image Text:1000 900 800 700 600 500 400 300 200 100 0 12 to 19 Male Hospitalizations 0 to 4 Number of Hospitalization by Gender 20 to 39 40 to 59 5 to 11 Female Hospitalizations Total Hospitalizations Count 60 to 79 All ages 80 Unknown Sex Hospitalizations
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