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

QUANTITATIVE DATA.

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:

https://www.youtube.com/watch?v=vKWStqSbdXE. 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. https://www.youtube.com/watch?v=DAppchFnbDw

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.

Topic SUGGESTIONS

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

appropriate

• Data is listed in a word

processed chart with

labels and unit of

measure

Frequency Distribution (5)

• completed in provided

template,

• 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

included

• Care taken for neatness

and readability

• Scale is appropriate

Part III

Analysis Questions (10)

2 points each

• Answers are appropriate

length

• Answers are relative to

data and show