Exam 7: Introduction in Inferential Statistics, the Sampling Distribution, and Estimation
Exam 1: Introduction46 Questions
Exam 2: Basic Descriptive Statistics: Percentages Ratios and Rates Frequency Distributions44 Questions
Exam 3: Charts and Graphs29 Questions
Exam 4: Measures of Central Tendency46 Questions
Exam 5: Measures of Dispersion39 Questions
Exam 6: The Normal Curve42 Questions
Exam 7: Introduction in Inferential Statistics, the Sampling Distribution, and Estimation85 Questions
Exam 8: Hypothesis Testing I: the One-Sample Case55 Questions
Exam 9: Hypothesis Testing II: the Two-Sample Case47 Questions
Exam 10: Hypothesis Testing III: the Analysis of Variance48 Questions
Exam 11: Hypothesis Testing Iv: Chi Square44 Questions
Exam 12: Introduction to Bivariate Association and Measures of Association for Variables Measured at the Nominal Level57 Questions
Exam 13: Association Between Variables Measured at the Ordinal Level45 Questions
Exam 14: Association Between Variables Measured at the Interval-Ratio Level45 Questions
Exam 15: Partial Correlation and Multiple Regression and Correlation44 Questions
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When using sample means as estimators,we usually estimate the population standard deviation with
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Based on an EPSEM sample of 300 state university students,we estimate that the average number of hours of study time each week is 30 2.In this example,the population is
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A random sample of 200 includes 100 Protestants.The researcher estimates at the 95% confidence level that between 43% and 57% of the population is Protestant.In this research situation
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Both the sample and the population distributions are empirical,which means that they are
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All other things being equal,larger sample will cost more to process
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The goal of estimation procedures is to infer ____ from ____.
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An alpha level of 0.05 is the same as a confidence level of
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To increase the probability that a confidence interval will include the population parameter,
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Social scientists gather data from samples instead of populations because
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A researcher wanted to learn something about the religious affiliation of the students at the local college (e.g. ,what percent were Catholic,Jewish,etc. ).This information was not available from the Registrar and the researcher was working with a very limited budget.Therefore,she used the principle of EPSEM to select a group of 200 students,called each of them at home,and conducted a brief interview.She was able to develop many conclusions based on this information.For example,she found that 50 of the 200 respondents were Catholic and concluded that about 25% of students at the college would claim the same religious affiliation.
Identify each of the following elements in this research scenario and explain their importance:
a.Population
b.Sample
c.Parameter
d.Statistic
e.EPSEM
f.Representative
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A sample selected according to the principle of EPSEM is extremely likely to be
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In your own words,explain the purpose of inferential statistics.Include in your essay the concepts of sample,population,statistic,parameter,representativeness,and the principle of EPSEM.Make sure that you define each of these terms as you develop your essay.
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We can estimate the probability that sample means and proportions lie within a given distance of the population value because these statistics are
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Public opinion polls and election projections are examples of
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I use the principle of EPSEM to select a sample from my church for an opinion poll.The sample
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The efficiency of a sample estimator is essentially a matter of
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The theorems presented in Chapter 7 tell us that if a sample is "large" the sampling distribution will be
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