Intro Stats
4th Edition
ISBN: 9780321825278
Author: Richard D. De Veaux, Paul F. Velleman, David E. Bock
Publisher: PEARSON
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Textbook Question
Chapter 1, Problem 6E
ZIP codes The U.S. Postal Service uses five-digit ZIP codes to identify locations to assist in delivering mail.
- a) In what sense are ZIP codes categorical?
- b) Is there any ordinal sense to ZIP codes? In other words, does a higher ZIP code tell you anything about a location compared to a lower ZIP code?
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1. Differentiate between discrete and continuous random variables,
providing examples for each type.
2. Consider a discrete random variable representing the number of
patients visiting a clinic each day. The probabilities for the
number of visits are as follows:
0 visits: P(0) = 0.2
1 visit: P(1) = 0.3
2 visits: P(2) = 0.5
Using this information, calculate the expected value (mean) of
the number of patient visits per day. Show all your workings
clearly.
Rubric to follow
Definition of Random variables ( clearly and accurately differentiate between discrete and continuous random variables with appropriate examples for each)
Identification of discrete random variable (correctly identifies "number of patient visits" as a discrete random variable and explains reasoning clearly.)
Calculation of probabilities (uses the probabilities correctly in the calculation, showing all steps clearly and logically)
Expected value calculation (calculate the expected value (mean)…
Chapter 1 Solutions
Intro Stats
Ch. 1.3 - Prob. 1JCCh. 1.3 - Prob. 2JCCh. 1 - Grocery shopping Many grocery store chains offer...Ch. 1 - Online shopping Online retailers such as...Ch. 1 - Super Bowl Sports announcers love to quote...Ch. 1 - Nobel laureates The website www.nobelprize.org...Ch. 1 - Prob. 5ECh. 1 - ZIP codes The U.S. Postal Service uses five-digit...Ch. 1 - Voters A February 2010 Gallup Poll question asked,...Ch. 1 - Job hunting A June 2011 Gallup Poll asked...
Ch. 1 - Medicine A pharmaceutical company conducts an...Ch. 1 - Stress A medical researcher measures the increase...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 1926) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - (Exercises 2740) For each description of data,...Ch. 1 - Prob. 31ECh. 1 - (Exercises 2740) For each description of data,...Ch. 1 - Prob. 33ECh. 1 - Prob. 34E
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