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Created: Jul 28, 2019
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Adults Commuting to Work: Louise Fuentes - Inferential Statistics Report M5A2
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I. Introduction


a. The purpose of this survey was to gain more information about how people commute to work.  This survey can be offered at a future date and/or on a routine basis in order identify trends in how people are commuting.  For the purposes of this survey we are defining commuting exclusively as using a method of transportation to move from the place someone lives’ to travel to their place of work.  Survey participants were asked to exclude themselves from the survey if they did not meet our sample criteria.  Simple criteria requested that participants be eighteen years old or older and require commuting.  These sample participants were obtained via Facebook requests and one team member found survey participants by using direct questions and recoding answers from peers and fellow employees at his place of work.


b. Below are the questions asked by this commuting survey: Data to be Obtained from Adults Commuting To Work


1) How long does it take you to commute to work?  ___ Minutes (N1)


2) What is the distance that you travel to work? ___ Miles (N2)


3) Do you pay for fuel?  Select one: Y N (C1)


4) What type of transportation do you most often use to commute to work? (C2)

-      Select one:


-      Walk


-      Bicycle 


-      Motor Vehicle (Car, Truck or SUV)


-      Public Transportation (Ride-Share, Train, Subway, Railway, or Bus)


II. Looking at a Categorical Variable

a.Do you pay for fuel?  Select one: Y N (C1)


Result 1: Pie Chart With Data M5A2   [Info]
Right click to copy



b. My interpretation of the confidence interval:This new sample set will reveal the same answers 95% of the time and will be within the upper limit of about 97 and the lower limit of about 91 (U. Limit and L. Limit respectively) this allows us to say that our confidence in the result is 95% certain or 95% confident. The p value below is the proportion of successful responses of this question. The 95% confidence interval results below identify the participants of the survey who answered yes, when asked whether or not they paid for fuel when commuting to and from work. The confidence interval of 95% can be demonstrated by asking another sample set of a similar size the same question. 


Result 2: 95% Confidence Interval for "Yes" Responses   [Info]

One sample proportion confidence interval:

Outcomes in : Pay for Fuel
Success : Y
p : Proportion of successes
Method: Standard-Wald

95% confidence interval results:
VariableCountTotalSample Prop.Std. Err.L. LimitU. Limit
Pay for Fuel1761880.936170210.017828310.901227370.97111306



III. Looking at a Numerical Variable

a.How long does it take you to commute to work?  ___ Minutes


Result 3: Histogram of either N1   [Info]
Right click to copy



Result 4: Summary statistics for the same column as above: n, mean, variance, standard deviation, median, rang   [Info]

Summary statistics:

ColumnnMeanVarianceStd. dev.MedianRangeMinMaxQ1Q3IQR
Minutes N118821.808511252.4551115.88883620118212011.52513.5



b. My interpretation of the confidence interval:The mean of a group of numbers is determined by summing the value of the numbers and dividing the sum by the quantity of  numbers summed.  The confidence of P listed here shows that 95% of the occurrences would result in the same mean or within the bounds of the lower and upper limits (about 19.5 and 42.1, respectively) for the same sample size. More simply, 95% of the time participants, on average, spent 21.8 minutes to commute to work. The t-distribution method was used for this process due to my familiarity with this process. 


Result 5: 95% T Confidence Interval - Minutes   [Info]

One sample T confidence interval:

μ : Mean of variable

95% confidence interval results:
VariableSample MeanStd. Err.DFL. LimitU. Limit


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