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Owner: julesk75
Created: Jun 8, 2019
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Analysis of Exercise
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Introduction:

My group and I designed a survey to find out if our friends and acquaintances exercised, and whether or not they were concerned about their exercise habits. This was not a random survey, as we used Facebook, email and face to face contacts to get our results. This was a voluntary survey, and not everyone asked responded.

We asked the following questions:

  1. Do you currently exercise?  Yes or No
  2. How old are you? ____ years
  3. How many hours of exercise a week do you think an average person requires to be healthy? _____hours
  4. How concerned are you with your level of activity? Select one: Highly concerned, Moderately concerned, Not at all concerned?

Looking at a Categorical Variable

The responses to the question "How concerned are you with your level of activity?" are shown in the pie chart below.

 

Result 1: Pie Chart with level of concern (C2)   [Info]
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The pie chart shows that 22% of people surveyed are highly concerned about their level of activity.  The same percentage (39% each) are either moderately or not at all concerned.

 

The correlation between the level of concern and whether or not the person currently exercises is shown in the bar plot below.

 

Result 2: Bar Plot of Exercise grouped by concern (C1 and C2)   [Info]
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Among non-exercisers, most of them were not at all concerned with their level of activity.  With exercisers, the most frequent response indicated a moderate concern with their level of activity.  With both groups, the least popular response was no concern at all.

 

Looking at Numerical Variables


The responses to the question "How old are you?" are shown in the histogram, boxplot, and summary statistics below.

 

Result 3: Histogram of age   [Info]
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Result 4: Boxplot of age   [Info]
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Result 5: Summary Stats of Age   [Info]

Summary statistics:


ColumnnMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3
Age10041.43202.0051514.2128521.421285241.554177129.552

 

The histogram shows a bell-shaped distribution with the most frequent data coming from respondents between the ages of 40-45. 

The boxplot shows the maximum aged respondent to be 71, and the minumum aged respondent to be 17.  The median here is 41.5 years old, and the mean is 41.43 years old. There is a lot of variability in the ages of the responders, with a span of 54 years.  There were not any extreme outliers to skew the data set.

 

Looking for a Relationship Between Two Numerical Variables


To see whether there is a relationship between the responses to the questions "How old are You?' and "How many hours of exercise a week do you think an average person requires to be healthy?" we can look at the scatter plot of the paired data.

Result 6: Scatter Plot of age vs. hours of exercise needed   [Info]
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The scatter plot reveals a great deal of scatter. The largest outlier is a 41 year old that thinks 24 hours of exercise per week is needed to be healthy.

The correlation coefficient for the paired data is -0.041, as shown below.

Result 7: Correlation for Age and Hours   [Info]
Correlation between Age and Hours is:
-0.04125568

The scatter plot does not have a distinct pattern, suggesting no linear correlation between a person's age and how many hours of exercise per week they think an average person needs to be healthy.

 

 

 

 

 

 

 

 

HTML link:
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=87907">Analysis of Exercise</A>

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