Nd An Example In A Newspaper Or Magazine Of A Graph That Misleads By Failing To Use Equal Interval Sizes Or By Exaggerating Proportions Essays and Term Papers
Week 2 practice problems
12) Explain and give an example for each of the following types of variables: (a) equal-interval, (b) rank-order, (c) nominal, (d) ratio scale, (e) continuous?
Answers: (a) Equal-Interval: This scale has equalinterval hence we can perform differences but does not have an...
practice problem 12
A) Equal- interval: (quantitative and the zero is your choice) example: degrees in Celsius scale or Fahrenheit counting the years (our position of zero is different from other cultures).
B) Rank-order: (nominal +natural ranking is available) example: the size of a T-shirt (S, M, L...
CD-ROM Instructions (Windows and Macintosh)
statistical software. To access these resources:
1. Go to the companion Web site, www.
To use the CD-ROM for The Practice of Statistics for Business and Economics, 3e, insert the disk into your CD-ROM drive. The main navigation page should appear. If...
Collaborative Statistics. Each module represents a self-contained concept from the original work. Together, the modules comprise the original textbook.
Re-use and Customization
The Creative Commons (CC) Attribution license
3 applies to all Connexions modules. Under this license,
any module in Connexions...
CHAPTER 10
Hypothesis Tests volving a Sample In ean or Proportion M
FAT-FREE OR REGULAR PRINGLES: CAN TASTERS TELL THE DIFFERENCE?
When the makers of Pringles potato chips came out with new Fat-Free Pringles, they wanted the fat-free chips to taste just as good as their already successful regular...
These worksheets were created by Mike Bryant at Santa Maria High School, 901 S. Broadway, Santa Maria, CA 93455. Feel free to use them, modify them, and share them. But PLEASE, PLEASE, PLEASE share with me any improvements you make. And if anyone out there wants to do the same thing for The Lady Tasting...
often graph them to better visualize any patterns in the data. Seeing data displayed graphically can significantly deepen our understanding of a data set and the situation it describes.
outliers
In many data sets, there are occasional values that fall far from the rest of the data. For example, if...
CUMULATIVE PROBABILITIES FOR THE STANDARD NORMAL DISTRIBUTION
Entries in this table
give the area under the
curve to the left of the
z value. For example, for
z = –.85, the cumulative
probability is .1977.
Cumulative
probability
z
z
0
.00
.01
.02
.03
.04
.05
.06
...
Probability Distributions. 6. Continuous Probability Distributions. 7. Sampling and Sampling Distributions. 8. Interval Estimation. 9. Hypothesis Testing. 10. Statistical Inference about Means and Proportions with Two Populations. 11. Inferences About Population Variances. 12. Test of Goodness of Fit and Independence...
using LTEX in the USQ style.
Preface
iv
Preface
Welcome to Data Analysis! This Study Book is designed to be your guide in making best use of the resources available in this course. The primary resource is the textbook De Veaux, Velleman & Bock, Intro Stats, third edition, and much of the...
Sampling: Surveys and How
to Ask Questions 70
3.1
3.2
3.3
3.4
3.5
Collecting and Using Sample Data Wisely 71
Margin of Error, Conﬁdence Intervals, and Sample Size
Choosing a Simple Random Sample 80
Other Sampling Methods 83
Difﬁculties and Disasters in Sampling 89
75
v
vi
Contents
...
94002-3098 USA
For more information about our products, contact us at: Thomson Learning Academic Resource Center 1-800-423-0563 For permission to use material from this text or product, submit a request online at http://www.thomsonrights.com. Any additional questions about permissions can be submitted...
OUTCOMES On successful completion of this module students should be able to: Interpret results of quantitative analysis for business decision-making Use appropriate statistical techniques for manipulating and analysing business data Calculate measures of central tendency and measures of variability Identify...
THE STANDARD NORMAL DISTRIBUTION
Cumulative probability
Entries in this table give the area under the curve to the left of the z value. For example, for z = –.85, the cumulative probability is .1977. z 0 .02 .0013 .0018 .0024 .0033 .0044 .0059 .0078 .0102 .0132 .0170 .0217 .0274 .0344 .0427 .0526...
apples in the Universe is an example of sampling. Sample is a set of values (numerical or Boolean- Yes or No) that is taken for a particular question.
The number of items (10 apples in this case) selected is known as the Sample Size. It is believed that the sample size represents the entire universe...
Mortality Rates, Unemployment Rate, Literacy Rates and Foreign Currency Exchange Rates. Also, the use of Statistics is not limited to government use only. Right now, almost all business sectors and fields of study use statistics. Statistics serves as the guiding principle in their decision making and helps them...
often referred to as statistics, that appear in the newspapers and magazines you read, websites you visit, television you watch (especially sporting events), and in grocery stores where you shop. A simple figure is called a statistic. A few examples:
• Home and condominium sales declined 6.5% in...
CUMULATIVE PROBABILITIES FOR THE STANDARD NORMAL DISTRIBUTION
Entries in this table
give the area under the
curve to the left of the
z value. For example, for
z = –.85, the cumulative
probability is .1977.
Cumulative
probability
z
z
0
.00
.01
.02
.03
.04
.05
.06
...
THE STANDARD NORMAL DISTRIBUTION
Cumulative probability
Entries in this table give the area under the curve to the left of the z value. For example, for z = –.85, the cumulative probability is .1977. z 0
z 3.0 2.9 2.8 2.7 2.6 2.5 2.4 2.3 2.2 2.1 2.0 1.9 1.8 1.7 1.6 1.5 1.4 1.3 1.2 1.1 1.0 .9...