{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Intro to Stat_Part_6

# Intro to Stat_Part_6 - 32 CHAPTER 2 DESCRIPTIVE STATISTICS...

This preview shows pages 1–2. Sign up to view the full content.

32 CHAPTER 2. DESCRIPTIVE STATISTICS a. Should all bars have the same width, based on the data? Why or why not? b. How should the < 20,000 and the 100,000+ intervals be handled? Why? d. Find the 40th and 80th percentiles Exercise 2.5 (Solution on p. 46.) Following are the published weights (in pounds) of all of the team members of the San Francisco 49ers from a previous year (Source: San Jose Mercury News). 177; 205; 210; 210; 232; 205; 185; 185; 178; 210; 206; 212; 184; 174; 185; 242; 188; 212; 215; 247; 241; 223; 220; 260; 245; 259; 278; 270; 280; 295; 275; 285; 290; 272; 273; 280; 285; 286; 200; 215; 185; 230; 250; 241; 190; 260; 250; 302; 265; 290; 276; 228; 265 a. Organize the data from smallest to largest value. b. Find the median. c. Find the ﬁrst quartile. d. Find the third quartile. e. Construct a box plot of the data. f. The middle 50% of the weights are from _______ to _______. g. If our population were all professional football players, would the above data be a sample of weights or the population of weights? Why? h. If our population were the San Francisco 49ers, would the above data be a sample of weights or the population of weights? Why? i. Assume the population was the San Francisco 49ers. Find: i. the population mean, μ . ii.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page1 / 3

Intro to Stat_Part_6 - 32 CHAPTER 2 DESCRIPTIVE STATISTICS...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online