Solutions for Elementary Statistics, A Step By Step Approach, 10th Edition Bluman (All Chapters included)
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Course
Introduction to Statistics
Institution
Introduction To Statistics
Complete Solutions Manual for Elementary Statistics, A Step By Step Approach, 10th Edition by Allan G. Bluman ; ISBN13: 9781259755330....(Full Chapters included Chapter 1 to 14)...Chapter 1:The Nature of Probability and Statistics
Chapter 2:Frequency Distributions and Graphs
Chapter 3:Data Descri...
Elementary Statistics, A Step By
Step Approach, 10th Edition by
Allan G. Bluman
Complete Chapter Solutions Manual
are included (Ch 1 to 14)
** Immediate Download
** Swift Response
** All Chapters included
, Instructor’s Solution Manual
Elementary Statistics
Tenth Edition
Table of Contents
Chapter 1: The Nature of Probability and Statistics.................................................................................... 1
Chapter 2: Frequency Distributions and Graphs ......................................................................................... 8
Chapter 3: Data Description ....................................................................................................................... 35
Chapter 4: Probability and Counting Rules ............................................................................................... 61
Chapter 5: Discrete Probability Distributions ........................................................................................... 89
Chapter 6: The Normal Distribution ........................................................................................................ 109
Chapter 7: Confidence Intervals and Sample Size ................................................................................... 141
Chapter 8: Hypothesis Testing ................................................................................................................. 153
Chapter 9: Testing the Difference Between Two Means, Two Proportions, and Two Variances ......... 184
Chapter 10: Correlation and Regression.................................................................................................. 217
Chapter 11: Other Chi-Square Tests ........................................................................................................ 240
Chapter 12: Analysis of Variance ............................................................................................................. 261
Chapter 13: Nonparametric Statistics...................................................................................................... 282
Chapter 14: Sampling and Simulation ..................................................................................................... 311
, Chapter 1 - The Nature of Probability and Statistics
EXERCISE SET 1-1 11. This is a descriptive statistic since it
describes the weight loss for a specific
1. Statistics is the science of conducting group of subjects, i.e. , the teenagers at
studies to collect, organize, summarize, Boston University.
analyze, and draw conclusions from data.
12. This is a descriptive statistic since it is
2. A variable is a characteristic or attribute based on the results of a survey of 2739
that can assume different values. individuals. However, if an inference were
made to all pet owners, it would be an
3. In a census, the researchers collect data inferential statistic.
from all subjects in the population.
13. This is an inferential statistic since a
4. A population consists of all subjects generalization has been made about the
under study while a sample is a subgroup of population.
the population.
14. This is an inferential statistic since a
5. Descriptive statistics consists of the generalization was made about the
collection, organization, summarization, and population of all kindergartens in the state
presentation of data while inferential of Oregon.
statistics consists of generalizing from
15. This is an inferential statistic since a
samples to populations, performing
generalization was made about the
estimations and hypothesis testing,
population.
determining relationships among variables,
and making predictions.
16. This is a descriptive statistic since it
describes the results of a specific survey of
6. Probability is used in gambling,
1,507 subjects.
insurance, and weather forecasting.
17. This is an inferential statistic since it is
7. Samples are used more than populations
a generalization made from data obtained
both because populations are usually large
from a sample.
and because researchers are unable to use
every subject in the population. 18. Answers will vary.
8. A biased sample is a sample that is not 19. Answers will vary.
representative of the population.
EXERCISE SET 1-2
9. This is inferential because a
generalization is being made about the 1. Qualitative variables are variables that
population. can be placed in distinct categories
according to some characteristic or
10. This is inferential since a prediction is attribute and cannot be ranked; while
being made about the future. quantitative variables are numerical in
nature and can be ordered or counted.
, Chapter 1 - The Nature of Probability and Statistics
2. Discrete variables assume values that can 29. Ratio 30. Ratio
be counted while continuous variables are
variables obtained by being measured. EXERCISE SET 1-3
Theoretically, continuous variables can
assume all values between any given two 1. Data can be collected by using telephone
values. surveys, mail questionnaire surveys, personal
interview surveys, by taking a look at records,
3. Continuous variables need to be rounded or by direct observation methods.
because of the limits of the measuring
2. Sampling error is the difference between a
device.
sample measure and a population measure.
Nonsampling error is the result of collecting
4. There are four types of measurement
data incorrectly or selecting a biased sample.
levels used in statistics: nominal, ordinal,
interval, and ratio levels of measurement. 3. Random numbers are used in sampling so
that every subject in the population has an
5. Qualitative 6. Qualitative
equal chance of being selected for a sample.
Random numbers can be generated by
7. Quantitative 8. Quantitative
computers or calculators; however, there are
9. Quantitative 10. Qualitative other ways of generating random numbers
such as using a random number table or
11. Discrete 12. Continuous rolling dice.
4. The four basic sampling methods are
13. Continuous 14. Discrete
random, systematic, stratified, and cluster
15. Discrete methods.
16. Continuous
5. The population could be all people in the
17. 23.5-24.5 feet
United States who earn over $200,000 per
annum. A sample could have been created by
18. 6.25-6.35 millimeters
selecting 500 people randomly from an
19. 142.5-143.5 miles accounting firm that prepares income taxes.
Answers will vary.
20. 19.625-19.635 tons
6. The population could be all prisons in the
free world. A sample of a specific number
21. 200.65-200.75 miles
could be selected by randomly choosing
prisons in the United States and prisons in
22. 18.5-19.5 quarts
other countries. Answers will vary.
23. Nominal 24. Interval
7. The population could be all households in
the United States. A sample could be selected
25. Ratio 26. Ratio
using 1000 households in the United States.
27. Ordinal 28. Nominal Answers will vary.
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