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Name/Notes Owner Created Size Views
normal distributionsamfdnApr 23, 2019174B0
normal distribution assignmentsamfdnApr 23, 2019174B0

Contingency table results:


Rows: var1
Columns: None

Cell format
Count
(Row percent)
(Column percent)
(Percent of total)

SUSDMUMDTotal
Men1
(25%)
(50%)
(12.5%)
1
(25%)
(50%)
(12.5%)
1
(25%)
(50%)
(12.5%)
1
(25%)
(50%)
(12.5%)
4
(100%)
(50%)
(50%)
Women1
(25%)
(50%)
(12.5%)
1
(25%)
(50%)
(12.5%)
1
(25%)
(50%)
(12.5%)
1
(25%)
(50%)
(12.5%)
4
(100%)
(50%)
(50%)
Total2
(25%)
(100%)
(25%)
2
(25%)
(100%)
(25%)
2
(25%)
(100%)
(25%)
2
(25%)
(100%)
(25%)
8
(100%)
(100%)
(100%)

Chi-Square test:


StatisticDFValueP-value
Chi-square301
Warning: over 20% of cells have an expected count less than 5.
Chi-Square suspect.
Group Alpha
Example Table
chaddychooApr 23, 20193KB0
tdistributionfullsizerev2932Apr 23, 2019174B1
Junk Fooddwatson62020Apr 23, 2019174B5

Frequency table results for Choc Chips:


Count = 42
Choc ChipsFrequencyRelative FrequencyPercent of TotalCumulative FrequencyCumulative Relative FrequencyCumulative Percent of Total
1000 to 110020.0476190484.761904820.0476190484.7619048
1100 to 1200110.2619047626.190476130.3095238130.952381
1200 to 1300170.404761940.47619300.7142857171.428571
1300 to 140060.1428571414.285714360.8571428685.714286
1400 to 150030.0714285717.1428571390.9285714392.857143
1500 to 160030.0714285717.1428571421100

Frequency distribution
samfdnApr 23, 20193KB0
Pie Chart Should School Shooters be Executedrmcdonal231Apr 23, 2019174B2

Contingency table results:


Rows: Type of School
Columns: Should Shooters be Executed
NoYesTotal
Not Public212344
Public6640106
Total8763150

Chi-Square test:


StatisticDFValueP-value
Chi-square12.69731890.1005
Contingency table for Should School Shooters be Executed vs Type of School
rmcdonal231Apr 23, 20192KB1

Simple linear regression results:


Dependent Variable: Shoe Size
Independent Variable: Height
Shoe Size = -11.571718 + 0.30473209 Height
Sample size: 40
R (correlation coefficient) = 0.47083354
R-sq = 0.22168423
Estimate of error standard deviation: 1.0793115

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-11.5717185.7616026 ≠ 038-2.008420.0517
Slope0.304732090.092626855 ≠ 0383.28988930.0022

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model112.6082912.6082910.8233710.0022
Error3844.266711.1649134
Total3956.875
Height & Shoe Size Simple Linear Regression
lizarahman1998Apr 23, 20193KB1

One sample proportion confidence interval:


Outcomes in : International Travel
Success : YES
p : Proportion of successes
Method: Standard-Wald

90% confidence interval results:
VariableCountTotalSample Prop.Std. Err.L. LimitU. Limit
International Travel24400.60.0774596670.472590190.72740981
One sample proportion confidence interval
gmoratayApr 23, 20191KB0

Simple linear regression results:


Dependent Variable: Shoe Size
Independent Variable: Age
Shoe Size = 5.8966525 + 0.073095053 Age
Sample size: 40
R (correlation coefficient) = 0.19839071
R-sq = 0.039358875
Estimate of error standard deviation: 1.1990837

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept5.89665251.1998705 ≠ 0384.9144076<0.0001
Slope0.0730950530.058580819 ≠ 0381.24776430.2198

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model12.2385362.2385361.55691570.2198
Error3854.6364641.4378017
Total3956.875
Age & Shoe Size Simple Linear Regression
lizarahman1998Apr 23, 20193KB0
Height & Shoe Size Simple Linear Regressionlizarahman1998Apr 23, 2019174B0

Simple linear regression results:


Dependent Variable: Height
Independent Variable: Age
Height = 61.14076 + 0.051136703 Age
Sample size: 40
R (correlation coefficient) = 0.089829063
R-sq = 0.0080692606
Estimate of error standard deviation: 1.8826032

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept61.140761.8838384 ≠ 03832.455416<0.0001
Slope0.0511367030.091973926 ≠ 0380.55599130.5815

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model11.09560391.09560390.309126320.5815
Error38134.67943.5441946
Total39135.775
Age&Height Simple Linear Regression
lizarahman1998Apr 23, 20193KB0
Boxplotmokadass5093Apr 23, 2019174B1
lab 9 Histogramdesiree.osorniaApr 22, 2019174B3

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