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μ _{1} : Mean of Male shoes μ _{2} : Mean of Female shoes μ _{1}  μ _{2} : Difference between two means (without pooled variances) 95% confidence interval results:
Difference  Sample Diff.  Std. Err.  DF  L. Limit  U. Limit 

μ_{1}  μ_{2}  26  3.7531498  25.269032  33.725586  18.274414 
.95% confidence interval results jpw  dokew697  Oct 17, 2019  1KB  0 
μ _{1} : Mean of Male shoes μ _{2} : Mean of Female shoes μ _{1}  μ _{2} : Difference between two means H _{0} : μ _{1}  μ _{2} = 0 H _{A} : μ _{1}  μ _{2} ≠ 0 (with pooled variances) Hypothesis test results:
Difference  Sample Diff.  Std. Err.  DF  TStat  Pvalue 

μ_{1}  μ_{2}  26  3.7531498  48  6.9275146  <0.0001 
Hypothesis test results jpw  dokew697  Oct 17, 2019  1KB  0 
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.  karldoggo37  Oct 7, 2019  174B  16 
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 Rsq = 0.15783196 Estimate of error standard deviation: 1.7031293
Parameter  Estimate  Std. Err.  Alternative  DF  TStat  Pvalue 

Intercept  4.6813218  0.2447873  ≠ 0  158  19.124039  <0.0001  Slope  0.4683908  0.086075931  ≠ 0  158  5.4416002  <0.0001 
Source  DF  SS  MS  Fstat  Pvalue 

Model  1  85.891164  85.891164  29.611013  <0.0001  Error  158  458.30259  2.9006493    Total  159  544.19375    
Simple Linear Regression
Simple Linear Regression results of how many drinks per day VS ow many days per week.  susienurse10  Oct 3, 2019  3KB  4 
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.  carlalatricejones15  Sep 28, 2019  174B  13 
Result 4: Familiar with Climate Change  nward427  Sep 27, 2019  174B  5 
result 1: Gender Of Students Surveyed  nward427  Sep 27, 2019  174B  5 
Column  n  Mean  Median  Mode  Std. dev.  Range  IQR  Min  Max  Q1  Q3 

Number of Dramatic Climactic Events in Life Time  150  5.0933333  4  5  4.8276979  25  5  0  25  2  7 
Result 6: Number of Dramatic Climactic Events in Life Time  nward427  Sep 27, 2019  1KB  5 
Result 5: Number of Dramatic Climactic Events in Life Time  nward427  Sep 27, 2019  174B  6 
Result 6.5: Number of Dramatic Climactic Events in Life Time  nward427  Sep 27, 2019  174B  5 
Result 1:Gender of Students Surveyed  jshelton872  Sep 27, 2019  174B  6 
Column  n  Mean  Median  Mode  Std. dev.  Range  IQR  Min  Max  Q1  Q3 

Order/Month  150  3.26  2  1  4.9241631  30  2  0  30  1  3 
Result 8: Number of Times a Month Students Order Online Summary Stats  roberts850  Sep 26, 2019  1KB  8 
Result 7: Number of Times a Month You Order Online  roberts850  Sep 26, 2019  174B  5 
Result 7: Number of Times a Month You Order Online  roberts850  Sep 26, 2019  174B  3 
Column  n  Mean  Median  Mode  Std. dev.  Range  IQR  Min  Max  Q1  Q3 

Pleasure Shopping/Year  150  17.346667  12  10  14.9361  50  20  0  50  5  25 
Result 6: Number of Times Pleasure Shopping Per Year Summary Statistics  roberts850  Sep 26, 2019  1KB  5 
