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Name/Notes Owner Created Size Views
ETOH Mental Illnessmariel.routhDec 11, 2018174B1
Cocaine Mental Illnessmariel.routhDec 11, 2018174B0
Opiods Pie Chartmariel.routhDec 11, 2018174B2
ETOH Pie Chartmariel.routhDec 11, 2018174B2
Cocaine pie chartmariel.routhDec 11, 2018174B2

One sample Z hypothesis test:


μ : Mean of variable
H0 : μ = 85
HA : μ > 85
Standard deviation not specified.

Hypothesis test results:
VariablenSample MeanStd. Err.Z-StatP-value
Orders8589.2661.87605522.27392030.0115
Egrocer final bonus hypothesis test
terry_irwinDec 11, 2018976B3

Simple linear regression results:


Dependent Variable: Test Avg
Independent Variable: HW Avg
Test Avg = 34.098824 + 0.53312854 HW Avg
Sample size: 65
R (correlation coefficient) = 0.55674217
R-sq = 0.30996184
Estimate of error standard deviation: 16.301389

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept34.0988247.9668137 ≠ 0634.2801081<0.0001
Slope0.533128540.10021762 ≠ 0635.3197085<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model17520.12257520.122528.299299<0.0001
Error6316741.324265.7353
Total6424261.446
Simple Linear Regression
corteganan1Dec 11, 20183KB1
Egrocer final bonus histogramterry_irwinDec 11, 2018174B2

One sample Z confidence interval:


μ : Mean of variable
Standard deviation not specified.

90% confidence interval results:
VariablenSample MeanStd. Err.L. LimitU. Limit
Orders8589.2661.876055286.18016492.351836
Egrocer, final bonus summary
terry_irwinDec 11, 2018937B2

Two sample proportion summary hypothesis test:


p1 : proportion of successes for population 1
p2 : proportion of successes for population 2
p1 - p2 : Difference in proportions
H0 : p1 - p2 = 0
HA : p1 - p2 ≠ 0

Hypothesis test results:
DifferenceCount1Total1Count2Total2Sample Diff.Std. Err.Z-StatP-value
p1 - p24712395561239-0.410815170.017240003-23.829182<0.0001
Two sample proportion summary hypothesis test Mostajo
jourdannemostajoDec 11, 20181KB1
Simple Linear RegressionhussainymiraliDec 11, 2018174B3

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 46.985728 - 0.0054813297 weight
Sample size: 24
R (correlation coefficient) = -0.8994701
R-sq = 0.80904646
Estimate of error standard deviation: 2.6894402

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept46.9857282.3760445 ≠ 02219.774767<0.0001
Slope-0.00548132970.00056774291 ≠ 022-9.6545983<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1674.20538674.2053893.211269<0.0001
Error22159.127957.2330887
Total23833.33333
Simple Linear Regression
hussainymiraliDec 11, 20183KB1
Simple Linear Regression-marzia5730466Dec 11, 2018174B2

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 46.985728 - 0.0054813297 weight
Sample size: 24
R (correlation coefficient) = -0.8994701
R-sq = 0.80904646
Estimate of error standard deviation: 2.6894402

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept46.9857282.3760445 ≠ 02219.774767<0.0001
Slope-0.00548132970.00056774291 ≠ 022-9.6545983<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1674.20538674.2053893.211269<0.0001
Error22159.127957.2330887
Total23833.33333
Simple Linear Regression-marzia
5730466Dec 11, 20183KB2

Simple linear regression results:


Dependent Variable: mileage
Independent Variable: weight
mileage = 46.985728 - 0.0054813297 weight
Sample size: 24
R (correlation coefficient) = -0.8994701
R-sq = 0.80904646
Estimate of error standard deviation: 2.6894402

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept46.9857282.3760445 ≠ 02219.774767<0.0001
Slope-0.00548132970.00056774291 ≠ 022-9.6545983<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1674.20538674.2053893.211269<0.0001
Error22159.127957.2330887
Total23833.33333
Simple Linear Regression
antoniomusacco21Dec 11, 20183KB1

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