Exam 10: Introduction to Hypothesis Testing
Exam 1: Introduction to Statistics43 Questions
Exam 2: Statistics and the Research Process75 Questions
Exam 3: Frequency Distributions and Percentiles48 Questions
Exam 4: Measures of Central Tendency;the Mean, median, and Mode62 Questions
Exam 5: Measures of Variability: Range, variance, and Standard Deviation59 Questions
Exam 6: Z-Scores and the Normal Curve60 Questions
Exam 7: The Correlation Coefficient52 Questions
Exam 8: Linear Regression52 Questions
Exam 9: Using Probability to Make Decisions About Data56 Questions
Exam 10: Introduction to Hypothesis Testing56 Questions
Exam 11: Performing the One-Sample T-Test and Testing Correlation Coefficients57 Questions
Exam 12: The Two-Sample T-Test65 Questions
Exam 13: The One-Way Analysis of Variance61 Questions
Exam 14: The Two-Way Analysis of Variance56 Questions
Exam 15: Chi Square and Other Nonparametric Procedures49 Questions
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Suppose you conduct an experiment and the
is statistically nonsignificant at 0.65.How would you correctly interpret this result?

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Which of the following null hypotheses would require using a two-tailed test?
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When statisticians report that the results from an experiment are significant,this means the results
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If a sample mean is different from a particular population µ,we can conclude that the sample mean probably represents some other population or that
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Jeri has conducted a study on the average salary of recent graduates in her major at State College.She has randomly selected and surveyed 25 recent graduates from her program.The annual average income of this sample of recent graduates is $34,000.Jeri knows that the population mean income for recent graduates in her area of study is $31,000 with a
If she uses
and a two-tailed test,what is her conclusion?


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Which of the following statements is true when
is not rejected?

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When statisticians report that results are nonsignificant,the results are
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Which of the following is the probability of avoiding a Type I error?
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Suppose you conduct an experiment and your
is statistically significant at +3.45.How would you correctly interpret this result?

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Which of the following is correct regarding statistical hypotheses (null hypothesis and alternative hypothesis)?
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Which of the following is correct regarding experimental hypotheses?
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Which of the following represents a Type I error? We say that something
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If you reject the null hypothesis,which of the following may occur?
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