PART I: Data Collection 1. Select a topic from the list of available project ide

PART I: Data Collection
1. Select a topic from the list of available project ide

PART I: Data Collection
1. Select a topic from the list of available project ideas or you may come up with your own idea.
Note that if you choose to use your own topic idea, it should be approved by the instructor
before you begin any work for the project. Make sure to choose a topic where you can collect
2. Write a survey question that can be asked in your sample to get the results necessary to
complete the tasks of this project.
3. Collect at least 50 data points and list the results into a chart. This chart can be created using
any word processing program. The chart should include labels for the measure of unit.
4. Organize the data into a frequency distribution with 5-8 classes. You learned how to create a
frequency distribution in Hawkes, but here’s another resource to step you through the process: Use the template below.
Class Limits Tally Frequency Relative Frequency
PART II: Data Tabulation
1. Calculate the mean and standard deviation using your TI-Graphing Calculator.
2. Use your TI-graphing calculator to find the 5-number summary for your data set. Either by
hand or using Excel, create a box plot for your data. If you choose to use Excel, see this link
for a tutorial.
Here’s a reminder of the key components.
An example of what your box plot should look like and how it should be labeled. Make sure to
include a chart title and labels as seen below.
Part III: Data Analysis
1. What type of method did you use to collect your sample? Describe your process in one to two
sentences. As a reminder, these are the types of sampling we covered in Hawkes Section 1.3
You can look in Hawkes Learn Slides 7-12 for further detail on each method.
a. Simple random sample
b. Cluster
c. Systematic
d. Stratified
e. Convenience
2. Using the context of your survey question, restate the standard deviation and describe what it
means. Write 1-2 sentences.
3. Describe your data using the vocabulary we have covered so far in this course. Is your data
uniform, bimodal, skewed left, skewed right, symmetric? Write 1-2 sentences
4. Does your data have any outliers? If yes, what are the outliers and why do you think you have
them? If no, why not? Write two-three sentences.
5. Are you median and mean different or the same and why? Which statistics best represents the
center of your data and why? Write three to four sentences.
Number of Siblings
Number of Pets
Number of text messages you send in a day
Number of Instagram followers
Number of tweets made per day
Number of Facebook friends
Number of hours playing sports or being physically active per week
Number of fast food meals you eat in a week
How many hours of T.V. you watch per week
How many hours do you spend doing homework each week
Number of pairs of shoes you own
Number of jeans you own
Number of hours spent with friends per week
Number of hours on electronic games per week
Number of books read in a year
Number of songs on your music player (iPod, mp3 player, phone)
Number of pictures on your phone
Number of years you have lived in your current home
Blood Pressure (systolic or diastolic in mmHG)
Number of hours of sleep you get on most weeknights
Height (in inches or cm)
Number of ounces of water drank in a day
Pulse (in beats per minute)
Rubric (30 points)
Criteria Exemplary (5) Proficient (3) Emerging (1) Not Complete (0)
Part I
Data Collection (5)
• Sample size is 50
• Data is quantitative
• Survey question is
• Data is listed in a word
processed chart with
labels and unit of
Frequency Distribution (5)
• completed in provided
• class size is accurate
• Class limits are accurate
• Tally and frequency
columns are accurate
• Relative Frequency is
calculated precisely
Part II
Five Number Summary (5)
• Accurately calculated
Box Plot (5)
• Chart Title and Labels
• Care taken for neatness
and readability
• Scale is appropriate
Part III
Analysis Questions (10)
2 points each
• Answers are appropriate
• Answers are relative to
data and show

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