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 equal interval 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...
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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...
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...
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 ...
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...
selling an electronic book reader called the Nook Color. With this device, you can download from a selection of over two million ebooks, newspapers, and magazines. It displays downloaded materials in full color. Assume you know the number of Nook Color units sold each day for the last month at 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 ...
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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...
CHAPTER OUTLINE DA3 DA2 DA1 DA2 DA3 1-01 Interpreting graphs 1-02 Misleading graphs 1-03 Types of data 1-04 Statistics in society 1-05 Sampling techniques 1-06 The capture–recapture technique 1-07 Designing a questionnaire 1-08 Constructing graphs 1-09 Frequency histograms and polygons 1-10 Dot plots...
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...
Terminology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i 28 TABLE OF CONTENTS STAT 110, J. TEBBS 5.2 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 5.3 How to experiment badly . . . . . . . . . . . . . . . . . ....
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...
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...