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Name/Notes Owner Created Size Views
Lab #1 MentHlth HistogramscothermanJun 24, 2019174B4
Lab #1 PhyHlth BoxplotscothermanJun 24, 2019174B6
Lab #1 PhyHlth HistogramscothermanJun 24, 2019174B3
Simple Linear Regression53552098_ecollege_heartccJun 23, 2019174B4
Pie Chart With Summarysbrook31Jun 23, 2019174B2

Frequency table results for Movie Genre:


Count = 42
Movie GenreFrequencyRelative Frequency
action60.14285714
comedy160.38095238
drama50.11904762
horror50.11904762
other60.14285714
thriller40.095238095

Frequency Table
gainesjwJun 23, 20191KB5

Analysis of Variance results:


Responses: Score
Factors: Model Type

Response statistics by factor


Model TypenMeanStd. Dev.Std. Error
A424.51.29099440.64549722
B428.251.70782510.85391256
C429.252.21735581.1086779
D4261.41421360.70710678

ANOVA table


SourceDFSSMSF-StatP-value
Model Type355.518.56.43478260.0076
Error1234.52.875
Total1590
One Way ANOVA
amorina07Jun 23, 20193KB5
Scatter Plot y suicide x painlwickJun 22, 2019174B4
Histogrammarkyswoosh12Jun 22, 2019174B5
Normal Calculatorcristina.spaethJun 22, 2019174B4

Contingency table results:


Rows: Sample(Future of Shopping)
Columns: Sample(Shoes and Clothing - Online or Store)
In storeOnlineTotal
No641377
Yes502373
Total11436150

Chi-Square test:


StatisticDFValueP-value
Chi-square14.39353360.0361
Contingency table- Future of Shopping versus Shopping Preference
mfrancodonner452Jun 22, 20192KB5

Two sample proportion hypothesis test:


p1 : Proportion of successes (Success = In store) for Sample(Shoes and Clothing - Online or Store) where "Sample(Future of Shopping)" = "No"
p2 : Proportion of successes (Success = In store) for Sample(Shoes and Clothing - Online or Store) where "Sample(Future of Shopping)" = "Yes"
p1 - p2 : Difference in proportions
H0 : p1 - p2 = 0
HA : p1 - p2 ≠ 0

Hypothesis test results:
DifferenceCount1Total1Count2Total2Sample Diff.Std. Err.Z-StatP-value
p1 - p2647750730.146237320.0697671942.09607580.0361
Two sample proportion hypothesis test
mfrancodonner452Jun 22, 20192KB8

Two sample proportion confidence interval:


p1 : Proportion of successes (Success = In store) for Sample(Shoes and Clothing - Online or Store) where "Sample(Future of Shopping)" = "No"
p2 : Proportion of successes (Success = In store) for Sample(Shoes and Clothing - Online or Store) where "Sample(Future of Shopping)" = "Yes"
p1 - p2 : Difference in proportions

95% confidence interval results:
DifferenceCount1Total1Count2Total2Sample Diff.Std. Err.L. LimitU. Limit
p1 - p2647750730.146237320.069127420.010750070.28172458
Two sample proportion confidence interval
mfrancodonner452Jun 22, 20192KB4

One sample proportion hypothesis test:


Outcomes in : Sample(Shoes and Clothing - Online or Store)
Success : In store
p : Proportion of successes
H0 : p = 0.5
HA : p > 0.5

Hypothesis test results:
VariableCountTotalSample Prop.Std. Err.Z-StatP-value
Sample(Shoes and Clothing - Online or Store)1141500.760.0408248296.3686733<0.0001
One sample proportion hypothesis test
mfrancodonner452Jun 22, 20191KB5
Bar Graph: Future of Shopping: Is it online?mfrancodonner452Jun 22, 2019174B7

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