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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With a sample size of 75,a normal sampling distribution can be assumed if
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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 tests a theory about sexism by administering a survey to the 200 students in her sociology classes.This sample is best characterized as a
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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.
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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 parameter is
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The purpose of inferential statistics is to acquire knowledge of the ____ from the ____ by means of the ____ distribution
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Statistics are characteristics of samples while ____ are characteristics of ____.
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The average weight of a sample of women who attend aerobics classes at the YWCA is 130 pounds.We construct a confidence interval (using an alpha of 0.05)of 3.45.The upper and lower limits of our estimate are
(Multiple Choice)
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For each situation below,construct the 95% confidence interval estimate to the population.Assume that the results are based on a nationally representative sample.Express the estimate in a sentence.
a.The average age of the 1225 respondents was 25.3 with a standard deviation of 1.9.
b.Of the 998 respondents questioned, 246 identified themselves as Catholic.
c.Of the 1220 respondents for whom we have information, 178 said that they had been divorced at least once.
d.Four hundred and thirty two of the 668 respondents questioned said that they favored capital punishment for people convicted of murder. Ten years ago, in response to the same question, 378 out of 703 people were in favor of capital punishment. Has support for capital punishment risen over the ten year period?
e.The average number of children for the 945 respondents for which we have information was 1.98 with a standard deviation of 1.04.
f.The average years of school completed for 734 respondents was 11.9 with a standard deviation of 0.5.
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The sample standard deviation is a biased estimator of the population standard deviation.When using sample means as estimators,we correct for bias in the formula for finding confidence intervals by
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Using the General Social Survey as an example,the concept of the sampling distribution allows us to link the sample of about ____ respondents to the population of about ____ adult Americans
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The greater the confidence level,the ____ width of the confidence interval
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The probability that a sample mean is within 1 Z of the population mean is about
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Because there is always a chance that an EPSEM sample might not be representative,alpha cannot be
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The mean age of all college graduates is 35.If the population distribution is normal,the mean of any sampling distribution of sample mean ages of college graduates will be
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According to the theorems presented in Chapter 7,we can be sure that the sampling distribution is normal if
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Which sample size will produce the confidence interval with the smallest width?
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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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