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Two sample T confidence interval:


μ1 : Mean of Male shoes
μ2 : Mean of Female shoes
μ1 - μ2 : Difference between two means
(without pooled variances)

95% confidence interval results:
DifferenceSample Diff.Std. Err.DFL. LimitU. Limit
μ1 - μ2-263.753149825.269032-33.725586-18.274414
.95% confidence interval results jpw
dokew697Oct 17, 20191KB0

Two sample T hypothesis test:


μ1 : Mean of Male shoes
μ2 : Mean of Female shoes
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 - μ2-263.753149848-6.9275146<0.0001
Hypothesis test results jpw
dokew697Oct 17, 20191KB0
Kids Vs. Adults Phone Screen Time By Karl F.
This compares the daily phone screen time in hours of people 21 and below against people 22 and above. This was obtained through asking 50 kids and 50 adults about the amount of time they spend looking at their phone, excluding calling and other devices such as computers and television. The majority of the kids for the sample were random teenagers I surveyed in Victoria Gardens, the rest were my school and church friends. The 50 adults for the majority of the sample were also random people I surveyed at Victoria Gardens, the rest were adults that attend my church and some neighbors. The results show that kids spend more time on their phones than adults, the kids' graph is symmetrical while the adults graph takes on more of a skewed right shape. There are no outliers for adults but there is one outlier of 12 hours a day for the kids graph, and the spread of the adults' graph is wider due to the bigger range of age that was accepted and depending on the adults' life circumstances and jobs.
karldoggo37Oct 7, 2019174B16

Simple linear regression results:


Dependent Variable: Number of days a week
Independent Variable: Number of drinks per day
Number of days a week = 4.6813218 + 0.4683908 Number of drinks per day
Sample size: 160
R (correlation coefficient) = 0.3972807
R-sq = 0.15783196
Estimate of error standard deviation: 1.7031293

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept4.68132180.2447873 ≠ 015819.124039<0.0001
Slope0.46839080.086075931 ≠ 01585.4416002<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model185.89116485.89116429.611013<0.0001
Error158458.302592.9006493
Total159544.19375
Simple Linear Regression
Simple Linear Regression results of how many drinks per day VS ow many days per week.
susienurse10Oct 3, 20193KB4
Carla Jones Lab 1 Part E: Relative Frequency graph of ppl that eat out
After the data was received on how many people eat out rather than at home, the relative frequencies of each was calculated. The results are as follow; 15 percent of people said they never eat out, 22 percent of people said they rarely eat out, 43 percent of people said they eat out sometimes, 16 percent of people said eat out most of the time, and only 3 percent said they always eat out. In conclusion, based off of the people that were survey, it can be predicted that as a nation almost half of people eat out sometime of the time rather than eating at home.
carlalatricejones15Sep 28, 2019174B13
Result 4: Familiar with Climate Changenward427Sep 27, 2019174B5
result 1: Gender Of Students Surveyednward427Sep 27, 2019174B5

Summary statistics:


ColumnnMeanMedianModeStd. dev.RangeIQRMinMaxQ1Q3
Number of Dramatic Climactic Events in Life Time1505.0933333454.827697925502527
Result 6: Number of Dramatic Climactic Events in Life Time
nward427Sep 27, 20191KB5
Result 5: Number of Dramatic Climactic Events in Life Timenward427Sep 27, 2019174B6
Result 6.5: Number of Dramatic Climactic Events in Life Timenward427Sep 27, 2019174B5
Result 1:Gender of Students Surveyedjshelton872Sep 27, 2019174B6

Summary statistics:


ColumnnMeanMedianModeStd. dev.RangeIQRMinMaxQ1Q3
Order/Month1503.26214.924163130203013
Result 8: Number of Times a Month Students Order Online Summary Stats
roberts850Sep 26, 20191KB8
Result 7: Number of Times a Month You Order Onlineroberts850Sep 26, 2019174B5
Result 7: Number of Times a Month You Order Onlineroberts850Sep 26, 2019174B3

Summary statistics:


ColumnnMeanMedianModeStd. dev.RangeIQRMinMaxQ1Q3
Pleasure Shopping/Year15017.346667121014.93615020050525
Result 6: Number of Times Pleasure Shopping Per Year Summary Statistics
roberts850Sep 26, 20191KB5

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