Exam 6: Introduction to Inferential Statistics: Sampling and the Sampling Distribution
Exam 1: Introduction53 Questions
Exam 2: Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts and Graphs53 Questions
Exam 3: Measures of Central Tendency51 Questions
Exam 4: Measures of Dispersion52 Questions
Exam 5: The Normal Curve42 Questions
Exam 6: Introduction to Inferential Statistics: Sampling and the Sampling Distribution54 Questions
Exam 7: Estimation Procedures57 Questions
Exam 8: Hypothesis Testing I: the One-Sample Case55 Questions
Exam 9: Hypothesis Testing II: the Two-Sample Case53 Questions
Exam 10: Hypothesis Testing III: the Analysis of Variance53 Questions
Exam 11: Hypothesis Testing Iv: Chi Square51 Questions
Exam 12: Bivariate Association: Introduction and Basic Concepts42 Questions
Exam 13: Association Between Variables Measured at the Nominal Level37 Questions
Exam 14: Association Between Variables Measured at the Ordinal Level52 Questions
Exam 15: Association Between Variables Measured at the Interval-Ratio Level51 Questions
Exam 16: Elaborating Bivariate Tables53 Questions
Exam 17: Partial Correlation and Multiple Regression and Correlation53 Questions
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Cluster sampling often involves selecting
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The General Social Survey (GSS)is an example of a
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Unless a sample is ____,it cannot be used to make accurate generalizations to a population.
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When a list of the population does not exist,the probability sampling technique most commonly used is
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The fundamental principle of probability sampling is that a sample selected by ____ is very likely to be ____.
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Unlike the sample and population distributions,the sampling distribution is
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In comparing a sampling distribution with a population distribution,
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In a sampling distribution of sample means,most of the sample means will
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The shape of the sampling distribution of sample means can be assumed to be normal when N is
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The standard deviation of the sampling distribution is represented by which of the following symbol(s)?
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Explain and briefly distinguish between simple random sampling,systematic random sampling,stratified random sampling,and cluster sampling.Which of these techniques is designed to guarantee representativeness? How?
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The Central Limit Theorem states that as sample size becomes large,
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An EPSEM sampling technique that often uses geographical areas is called
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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 pf 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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I surveyed 48 randomly-selected residents of the apartment complex where I live to determine their voting habits.I can only use this information to generalize to all the residents if
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A researcher questioned 45 randomly-selected members of the freshman class about their experiences drinking alcohol and used these responses to estimate the drinking behavior of the entire freshman class of 1500.In this example,the 45 interviewees were the ____ and the ____ was the population.
(Multiple Choice)
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