Upcoming SlideShare
×

# Stats 101

257 views

Published on

0 Likes
Statistics
Notes
• Full Name
Comment goes here.

Are you sure you want to Yes No
• Be the first to comment

• Be the first to like this

Views
Total views
257
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
4
0
Likes
0
Embeds 0
No embeds

No notes for slide

### Stats 101

1. 1. Warm Up # 1 <br />- 6X/25 - -95 = 2X - 30<br />Show Work Here<br />
2. 2. Warm Up # 2<br />5(7 + W) < W/35 + 11 <br />Show Work Here<br />
3. 3. STATISTICS 101<br />Representing Categorical Data<br />
4. 4. Terms To Know<br />Sample – set of things about which you collect data.<br />Data Set – the information you collect.<br />Sample Size – the size of the data set.<br />
5. 5. When Do People Collect Data?<br />When people choose a sample to collect data, it is because there is some sort of uncertainty about the data.<br />If you are sure of the data, then there is no need to collect them. <br />Example:<br />You would not ask students whether they have a nose or whether they woke up this morning.<br />But you might collect data on what color their eyes are or how much they slept last night.<br />
6. 6. Choosing A Data Representation<br />The type of data you have determines the possible ways to display them. <br />When you ask people what color their eyes are, the answers are separated into categories.<br />Data that can be sorted in this way are called categorical data.<br />If the sample size is small, you can list all the data.<br />If the sample size is large, data should be summarized and displayed.<br />
7. 7. Small Data Size(Hours Per Day Spent On Activities)<br />
8. 8. Converting Data<br />Hours to Percent =<br />Percent to Degree = <br />
9. 9. Large Display(Hours Per Day Spent On Activities)<br />
10. 10. Large Display(Hours Per Day Spent On Activities<br />