Data set 1. Responses to Soda survey
[Info]
Owner: kmm17k
Source: StatCrunch Survey
Tags:
Description: A recent survey asked respondents what percentage of their daily fluid intake is soda. It also asked if they drink diet soda, their gender, and their age.
Check out the original survey here: http://statcrunch.com/5.0/survey.php?surveyid=1251&code=AWAUJ&groupid=256
Feel free to copy it for your own use
Size: 5KB
Delimiter: space
Last edited: Oct 15, 2017
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Result 1: Resample Statistics: Qualitative [Info]
Owner: kmm17k
Size: 1KB
Created: Nov 26, 2017
Statistic: prop(Gender,Female)
Observed  n  Mean  Std. dev.  2.5th per.  5th per.  50th per.  95th per.  97.5th per. 

0.49852507  30  0.49734513  0.031387012  0.4100295  0.46017699  0.49262537  0.56047198  0.57227139 

Qualitative Variable: Gender
Significance level: 0.05 or 95%
sample size: 30
margin of error: 0.011 = 2s/(square root) of n = 2(0.03)/5.48
confidence interval: 0.5 ± 0.011 ;
Level of Significance is at 0.05 or 95%: 0.489 < P < 0.511
Result 2: Resample Statistics: Qualitative (Distribution) [Info]
Owner: kmm17k
Size: 174B
Created: Nov 26, 2017
The mean of the distribution is .0497. This is in between of the 0.45 and 0.5 brackets. The graph follows a normal distribution, however it is slightly left skewed, since more data is located on the right side.
Result 3: Resample Statistics 1: Quantitative (Age) [Info]
Owner: kmm17k
Size: 1KB
Created: Nov 27, 2017
Statistic: mean(Age)
Observed  n  Mean  Std. dev.  2.5th per.  5th per.  50th per.  95th per.  97.5th per. 

30.348065  30  30.240695  0.82150189  28.292035  28.910831  30.133536  31.855457  31.967262 

First Quantitative Variable: Age
Sample size: 30
Margin of Error: 0.3 = 2s/(square root) of n = 2(0.82)/5.48
The confidence interval is 95%. There is a high certainty that the true sample mean lies between 30.54 and 29.94.
Result 4: Resample Statistics 1 : Quantitative (Age) [Info]
Owner: kmm17k
Size: 174B
Created: Nov 27, 2017
The data is normally distributed. It is a leftskewed, meaning most of the data is on the right side of the graph. you can see the mean of data (thin red line) is in the highest peaked subsection and lies between the intervals of 30 and 31. A bigger sample size may shift the distribution to a bell curve.
Result 5: Normal Calculator 1: Quantitative (Age) [Info]
Owner: kmm17k
Size: 174B
Created: Nov 27, 2017
You can see that 18.34% of the data falls below the data value of 29.5.
Result 6: Resample Statistics 2: Quantitative (Soda) [Info]
Owner: kmm17k
Size: 1KB
Created: Nov 27, 2017
Statistic: mean(Soda)
Observed  n  Mean  Std. dev.  2.5th per.  5th per.  50th per.  95th per.  97.5th per. 

18.895821  30  18.580909  1.7367585  15.48869  15.522961  18.711744  21.291592  21.579394 

Second Quantitative Variable: Soda
Sample size: 30
Margin of Error: 0.64 = 2s/(square root) of n = 2(1.74)/5.48
The cofidence interval is 95%. There is a high certainty that the true sample mean lies between 19.22 and 17.94.
Result 7: Resample Statistics 2: Quantitative (Soda) [Info]
Owner: kmm17k
Size: 174B
Created: Nov 27, 2017
The data is normally distributed. It is a rightskewed, meaning most of the data is on the left side of the graph. you can see the mean of data (thin red line) is in the second highest peaked subsection and lies between the intervals of 18 and 20. A bigger sample size may shift the distribution to a bell curve.
Result 8: Normal Calculator 2: Quantitative (Age) [Info]
Owner: kmm17k
Size: 174B
Created: Nov 27, 2017
You can see that 86.50% of the data falls below the data value of 20.5.
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=74116">Responses to Soda Part 3 </A>
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Nov 27, 2017
Need details about margin of error and confidence interval.
significance level=1confidence level
The confidence interval is an interval constructed by lower bound and upper bound such that we have 95% confidence to say that the population parameter is in this interval.