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Simple linear regression results for AGE=20 to 40:


Dependent Variable: NGIFTALL
Independent Variable: NUMPROM
NGIFTALL = -3.524221 + 0.28374452 NUMPROM
Sample size: 288
R (correlation coefficient) = 0.78413211
R-sq = 0.61486317
Estimate of error standard deviation: 4.44706

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-3.5242210.61133079 ≠ 0286-5.7648348<0.0001
Slope0.283744520.01327892 ≠ 028621.368042<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model19029.74389029.7438456.59322<0.0001
Error2865656.033919.776342
Total28714685.778
Simple Linear Regression
7be8b5d8-2d12-4988-b855-24bb26a30851-28956_d2l_snhumlpAug 4, 20193KB10
Scatter Plot QSO-510 LBradbury7be8b5d8-2d12-4988-b855-24bb26a30851-28956_d2l_snhumlpAug 4, 2019174B11

Contingency table results:


Rows: Reading Time in One Sitting
Columns: Social Skills
NoYesTotal
0 to 50262955
50 to 100231639
100 to 150131932
150 to 200347
200 to 25051217
Total7080150

Chi-Square test:


StatisticDFValueP-value
Chi-square44.92548110.295
Reading Time Contingency table (with data)
teodoroaleoAug 4, 20192KB8
age Bar PlotteodoroaleoAug 4, 2019174B9
age and social skills Bar Plot With DatateodoroaleoAug 4, 2019174B8

Summary statistics for Number of Books per Week:


Group by: Social Skills
Social SkillsnMinQ1MedianQ3MaxIQR
No700124963
Yes80012101009

books per week Summary Stats
teodoroaleoAug 4, 20192KB8
Boxplot number of books per weekteodoroaleoAug 4, 2019174B7
social skills Bar Plot yes v noteodoroaleoAug 4, 2019174B9
Social skills Bar Plot yes v noteodoroaleoAug 4, 2019174B9
Two sample T hypothesis testisangsmith17Aug 4, 2019174B9

Two sample T hypothesis test:


μ1 : Mean of Age where Category = No
μ2 : Mean of Age where Category = Yes
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 ≠ 0
(with pooled variances)

Hypothesis test results:
DifferenceSample Diff.Std. Err.DFT-StatP-value
μ1 - μ2-0.170731713.3543861121-0.0508980480.9595
Two sample T hypothesis test
isangsmith17Aug 4, 20191KB8

Two sample T hypothesis test:


μ1 : Mean of Age where Category = Yes
μ2 : Mean of Age where Category = No
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 - μ20.170731713.57876367.8436360.0477069060.9621
Two sample T hypothesis test
isangsmith17Aug 4, 20191KB9

Two sample T hypothesis test:


μ1 : Mean of Age where Category = Yes
μ2 : Mean of Age where Category = No
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 - μ20.170731713.57876367.8436360.0477069060.9621
Two sample T hypothesis test
isangsmith17Aug 4, 20191KB8

One sample T hypothesis test:


Group by: Play
μ : Mean of Age
H0 : μ = 0
HA : μ ≠ 0

Hypothesis test results:
PlaySample MeanStd. Err.DFT-StatP-value
No40.8292683.09304934013.200329<0.0001
Yes411.80016398122.775704<0.0001

Shapiro-Wilk normality test results:


PlaynStatP-Value
No410.920191670.0069
Yes820.98078010.2571
Cellphone Data (Group 2) MAT215
Cellphone Data (Group 2) MAT215
antoinemason18Aug 3, 20192KB7

Summary statistics:


ColumnnMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3
Nebulizer call/start times1514.4154.1142912.4142773.20535271043245518
Cont. Nebs22021.4142136120219211921
ABG'S217.5612.524.74873717.517.535035035
High flow126NaNNaNNaN26026262626
Codes10NaNNaNNaN000000
Transports165NaNNaNNaN65065656565
MDI17NaNNaNNaN707777
Caphnography113NaNNaNNaN13013131313
VBG's323.666667192.3333313.8684298.0069414202712391239
Bipap10NaNNaNNaN000000
Summary Stats
chambersk5Aug 3, 20196KB12

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