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Two sample T summary hypothesis test:


μ1 : Mean of Population 1
μ2 : Mean of Population 2
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 ≠ 0
(without pooled variances)

Hypothesis test results:
DifferenceSample Diff.Std. Err.DFT-StatP-value
μ1 - μ2504119.3035346.3072264.22451860.0001

Sample Statistics:


SamplenMeanStd. Dev.
Population 1252016379.34153
Population 2251512460.36218
Two sample T summary hypothesis test
57336054_ecollege_msumlpAug 5, 20192KB8
Two sample T hypothesis testmkhalbertAug 5, 2019174B8

Two sample Z hypothesis test:


μ1 : Mean of var2 (Std. dev. = 23)
μ2 : Mean of var1 (Std. dev. = 15)
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0.05
HA : μ1 - μ2 ≠ 0.05

Sample statistics:


SamplenMeanStd. dev.Specified std. dev.
var27131.4285722.59688123
var1779.71428614.90765215

Hypothesis test results:
Differencen1n2Sample meanStd. err.Z-statP-value
μ1 - μ27751.71428610.3785494.9779872<0.0001
Two sample Z hypothesis test POSITIVE VALUES
mkhalbertAug 5, 20192KB7

One sample variance hypothesis test:


σ2 : Variance of variable
H0 : σ2 = 1
HA : σ2 ≠ 1

Hypothesis test results:
VariableSample Var.DFChi-Square StatP-value
var12094.4510472<0.0001
var21385.16361013851.636<0.0001
var31094840.41010948404<0.0001
One sample variance hypothesis test
madampitigeAug 5, 20192KB15

One sample Z confidence interval:


μ : Mean of variable
Standard deviation not specified.

95% confidence interval results:
VariablenSample MeanStd. Err.L. LimitU. Limit
var114713.28348060.0173748583.24942653.3175347
One sample Z confidence interval
mkhalbertAug 5, 2019942B8

Contingency table results:


Rows: var1
Columns: var1
12345Total
1500005
20136000136
30079300793
40005110511
500002626
Total5136793511261471

Chi-Square test:


StatisticDFValueP-value
Chi-square165884<0.0001
Warning: over 20% of cells have an expected count less than 5.
Chi-Square suspect.
Contingency table (with data)
mkhalbertAug 5, 20193KB8

Summary statistics:


ColumnnMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3
Diff.Mid1050.4095238125.2056785.02052560.48995313025-1114-34
Summary Stats
niaa003Aug 4, 20191KB6
Histogramniaa003Aug 4, 2019174B12

Contingency table results:


Rows: Age_group
Columns: Gender

Cell format
Count
(Row percent)

FemaleMaleTotal
22 or younger2
(40%)
3
(60%)
5
(100%)
Total2
(40%)
3
(60%)
5
(100%)

Chi-Square test:


StatisticDFValueP-value
Chi-square02.8760554e-311
Warning: over 20% of cells have an expected count less than 5.
Chi-Square suspect.
Contingency table (with data)
jmagdaleAug 4, 20192KB8

Frequency table results for Age_group:


Count = 5
Age_groupFrequency
22 or younger5

Frequency table results for Gender:


Count = 5
GenderFrequency
Male3
Female2

Frequency table results for Height_inches:


Count = 5
Height_inchesFrequency
711
701
632
741

Frequency table results for On_campus:


Count = 5
On_campusFrequency
Yes1
No4

Frequency table results for Current_credit_hrs:


Count = 5
Current_credit_hrsFrequency
151
161
181
141
121

Frequency table results for Expected_grade:


Count = 5
Expected_gradeFrequency
A4
B1

Frequency table results for Confidence:


Count = 5
ConfidenceFrequency
Somewhat confident4
Very confident1

Frequency table results for Confidence_value:


Count = 5
Confidence_valueFrequency
44
51

Frequency table results for Like_math:


Count = 5
Like_mathFrequency
Somewhat disagree1
Somewhat agree2
Strongly agree1
Strongly disagree1

Frequency table results for Like_math_value:


Count = 5
Like_math_valueFrequency
21
42
51
11

Frequency table results for Optimist:


Count = 5
OptimistFrequency
Strongly agree3
Neither agree nor disagree1
Somewhat disagree1

Frequency table results for Optimist_value:


Count = 5
Optimist_valueFrequency
53
31
21

Frequency table results for Smartphone_type:


Count = 5
Smartphone_typeFrequency
Apple4
Android1

Frequency table results for Siblings_count:


Count = 5
Siblings_countFrequency
11
22
51
61

Frequency table results for Own_car:


Count = 5
Own_carFrequency
No2
Yes3

Frequency table results for Avg_commute_dist_miles:


Count = 5
Avg_commute_dist_milesFrequency
01
31
21
61
221

Frequency table results for Avg_getting_ready_mins:


Count = 6
Avg_getting_ready_minsFrequency
201
151
451
801
901
301

Frequency table results for Pets_count:


Count = 6
Pets_countFrequency
41
03
11
21

Frequency table results for Avg_tv_video_hours:


Count = 6
Avg_tv_video_hoursFrequency
21
102
61
351
51

Frequency table results for Avg_sleep_hours:


Count = 6
Avg_sleep_hoursFrequency
62
51
72
81

Frequency table results for Avg_work_pay_hours:


Count = 6
Avg_work_pay_hoursFrequency
81
03
102

Frequency table results for Avg_moneyonfood_dollars:


Count = 6
Avg_moneyonfood_dollarsFrequency
202
11
2001
401
1001

Frequency table results for Avg_familytalk_min:


Count = 6
Avg_familytalk_minFrequency
601
301
1201
701
11
101

Frequency table results for Avg_friendtalk_min:


Count = 6
Avg_friendtalk_minFrequency
601
01
1202
4201
1001

Frequency table results for Countries_count:


Count = 6
Countries_countFrequency
12
32
21
51

Frequency table results for States_count:


Count = 6
States_countFrequency
82
152
71
61

Frequency table results for Tatoos:


Count = 6
TatoosFrequency
Yes2
No4

Frequency table results for Piercings_count:


Count = 6
Piercings_countFrequency
31
01
22
41
61

Frequency table results for Socialmedia_count:


Count = 6
Socialmedia_countFrequency
62
51
33

Frequency table results for Frequency_socialmedia:


Count = 6
Frequency_socialmediaFrequency
Constantly4
1-5 times per day2

Frequency table results for Access_socialmedia:


Count = 6
Access_socialmediaFrequency
Smart Phone6

Frequency table results for Extracurricular_count:


Count = 6
Extracurricular_countFrequency
33
12
21

Frequency table results for HS_GPA:


Count = 6
HS_GPAFrequency
3.71
3.251
32
41
3.21

Frequency table results for Public_spending_cuts:


Count = 6
Public_spending_cutsFrequency
No1
Other stances2
Yes3

Frequency table results for Fed_min_wage:


Count = 6
Fed_min_wageFrequency
Other stamces1
Yes5

Frequency table results for Gov_regulations:


Count = 6
Gov_regulationsFrequency
Yes4
No1
Other stances1

Frequency table results for Increase_taxes_rich:


Count = 6
Increase_taxes_richFrequency
Yes2
No3
Other stances1

Frequency table results for Award:


Count = 6
AwardFrequency
Nobel Prize5
Olympic Gold Medal1

Frequency table results for Same_sex_marriage:


Count = 6
Same_sex_marriageFrequency
Yes6

Frequency table results for Legal_drinking_age:


Count = 6
Legal_drinking_ageFrequency
184
221
211

Frequency table results for Tobacco:


Count = 6
TobaccoFrequency
No6

Frequency table results for HS_music_dramra_theater:


Count = 6
HS_music_dramra_theaterFrequency
No6

Frequency table results for HS_vars_sports:


Count = 6
HS_vars_sportsFrequency
Yes4
No2

Frequency Table
jmagdaleAug 4, 201931KB8
Pie Chart With Summarylorettacooke1Aug 4, 2019174B15

Summary statistics for MALEVET:


Group by: AGE
AGEnMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3
20 to 4028829.611111113.1931910.6392290.6269225630590592537
40 to 60126830.261041108.1709510.4005260.2920758831730732436
60 to 80154032.521429129.0216311.3587690.2894482432790792639
80 to 10055231.125127.369111.2857920.4803552132760762538

Summary statistics for VIETVETS:


Group by: AGE
AGEnMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3
20 to 4028832.618056286.3692916.9224490.99716489328008021.544
40 to 60126832.865931244.7270815.6437550.4393204232990992342.5
60 to 80154028.329221207.7817314.4146360.3673189428990991937
80 to 10055225.898551186.9733613.673820.5819964326640641735

Summary statistics for WWIIVETS:


Group by: AGE
AGEnMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3
20 to 4028828.645833329.3375418.1476591.069361126.5990991739
40 to 60126829.649842263.2758716.2257780.4556652428990991839
60 to 80154036.08961325.6293918.0452040.4598343835990992446
80 to 10055238.782609374.7766119.3591480.8239800637990992651

Summary statistics for LOCALGOV:


Group by: AGE
AGEnMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3
20 to 402886.510416716.6061634.0750660.2401255763403448
40 to 6012686.719242917.6432924.20039180.1179587564804848
60 to 8015407.014285719.5202644.41817420.112585563603649
80 to 1005527.019927520.5458824.53275650.1929269363903949

Summary statistics for STATEGOV:


Group by: AGE
AGEnMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3
20 to 402884.305555626.3662415.13480680.3025713934104115.5
40 to 6012684.735804428.140885.30479780.1489735634704726
60 to 8015404.622077925.063065.0063020.127572393480481.56
80 to 1005524.521739126.8198535.17878880.2204238934404416

Summary statistics for FEDGOV:


Group by: AGE
AGEnMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3
20 to 402883.267361119.4160744.40636740.2596476923703714
40 to 6012683.226340716.1831414.02282750.1129722523803814
60 to 8015402.963636414.3846423.7927090.09664717524104114
80 to 1005522.51992759.95967483.15589520.1343238223003013

Summary Stats
7be8b5d8-2d12-4988-b855-24bb26a30851-28956_d2l_snhumlpAug 4, 201920KB8

Simple linear regression results for AGE=80 to 100:


Dependent Variable: NGIFTALL
Independent Variable: NUMPROM
NGIFTALL = -3.466204 + 0.3048676 NUMPROM
Sample size: 552
R (correlation coefficient) = 0.73526492
R-sq = 0.5406145
Estimate of error standard deviation: 6.7743013

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-3.4662040.78306427 ≠ 0550-4.4264616<0.0001
Slope0.30486760.011983253 ≠ 055025.441139<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model129703.12229703.122647.25154<0.0001
Error55025240.13745.891158
Total55154943.259
Simple Linear Regression
7be8b5d8-2d12-4988-b855-24bb26a30851-28956_d2l_snhumlpAug 4, 20193KB12

Simple linear regression results for AGE=60 to 80:


Dependent Variable: NGIFTALL
Independent Variable: NUMPROM
NGIFTALL = -4.7586432 + 0.32165777 NUMPROM
Sample size: 1540
R (correlation coefficient) = 0.77065799
R-sq = 0.59391374
Estimate of error standard deviation: 6.0317019

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-4.75864320.39338476 ≠ 01538-12.096664<0.0001
Slope0.321657770.0067820868 ≠ 0153847.427552<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model181835.3981835.392249.3727<0.0001
Error153855954.63636.381428
Total1539137790.03
Simple Linear Regression
7be8b5d8-2d12-4988-b855-24bb26a30851-28956_d2l_snhumlpAug 4, 20193KB9

Simple linear regression results for AGE=40 to 60:


Dependent Variable: NGIFTALL
Independent Variable: NUMPROM
NGIFTALL = -5.1972889 + 0.31712383 NUMPROM
Sample size: 1268
R (correlation coefficient) = 0.79947895
R-sq = 0.63916659
Estimate of error standard deviation: 5.0448217

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-5.19728890.35185097 ≠ 01266-14.771279<0.0001
Slope0.317123830.0066966618 ≠ 0126647.355509<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model157073.25957073.2592242.5442<0.0001
Error126632219.98725.450226
Total126789293.245
Simple Linear Regression
7be8b5d8-2d12-4988-b855-24bb26a30851-28956_d2l_snhumlpAug 4, 20193KB11

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