Exam 10: Hypothesis Testing Using a Single Sample
Exam 1: The Role of Statistics and the Data Analysis Process20 Questions
Exam 2: Collecting Data Sensibly28 Questions
Exam 3: Graphical Methods for Describing Data19 Questions
Exam 4: Numerical Methods for Describing Data21 Questions
Exam 5: Summarizing Bivariate Data17 Questions
Exam 6: Probability17 Questions
Exam 7: Random Variables and Probability Distributions20 Questions
Exam 8: Sampling Variability and Sampling Distributions16 Questions
Exam 9: Estimation Using a Single Sample20 Questions
Exam 10: Hypothesis Testing Using a Single Sample19 Questions
Exam 11: Comparing Two Populations or Treatments16 Questions
Exam 12: The Analysis of Categorical Data and Goodness-Of-Fit Tests9 Questions
Exam 13: Simple Linear Regression and Correlation: Inferential Methods22 Questions
Exam 14: Multiple Regression Analysis28 Questions
Exam 15: Analysis of Variance12 Questions
Exam 17: Statistics and Probability Questions152 Questions
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Explain in your own words the distinction between a null and alternative hypothesis.
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Correct Answer:
The null hypothesis is the claim about a population characteristic that is initially
assumed to be true.The alternative is the competing claim about the population
characteristic.
In cities and towns on the borders between states there is a significant amount of flight across state lines to avoid high state taxes on gasoline.Some states (such as Iowa) have large rivers for borders and tolls to cross the bridges.Do these tolls impede traffic to other states to get cheaper gasoline? To test this hypothesis, an experimental Toll-Free Week will be instituted at the Farmington Bridge, where currently 50 cars per day drive out of the state.Let m denote the true average number of border crossings per day at Farmington if there were no toll. a)What is the appropriate null hypothesis? b)What is the appropriate alternative hypothesis? c)In your own words, distinguish between a Type I and a Type II error in this context.
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Correct Answer:
a) b)
c)A Type I error is to decide that the average number of crossings would be
greater than 50 if there were no toll, when in fact the average number is still 50.
A Type II error is to decide that the average number of crossings would stay the
same (50)if there were no toll, when in fact the average number of crossings
would increase.
Explain in your own words what a hypothesis test is.
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Correct Answer:
In a hypothesis test, we are using data from a sample to make a decision between
two competing claims about a population characteristic.
A type II error is made by failing to reject a false null hypothesis.
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Small P-values indicate that the observed sample is inconsistent with the null hypothesis.
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The power of a test is the probability of failing to reject the null hypothesis.
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Explain in your own words the distinction between a null and alternative hypothesis.
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Psychologists have noted that people tend make classifications based on their "typicality." For example, a dog is more readily classified as a mammal than is a whale, because dogs are "more typical" of mammals than are whales.Previous large- scale studies have established the following for songbirds such as robins: when young children are shown a picture of a songbird and asked if it is a bird they respond "yes" in an average of 750 milliseconds.Do children regard chickens as representative of birds? If so, are they more representative or less representative of birds than are songbirds? Let m represent the mean time it takes children to respond to a question about whether a chicken is a bird.The investigators wish to determine whether the classification time differs from the time needed to classify songbirds. a)What is the appropriate null hypothesis? b)What is the appropriate alternative hypothesis? c)In your own words, distinguish between a Type I and a Type II error in this context.
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The Environmental Protection Agency (EPA)is charged with monitoring the environment.One aspect of this is keeping track of "acid rain," a broad term describing the fall of water through an acidic atmosphere.Acidity is measured on the pH scale, where pure water has a pH of 7.0.Normal rain is slightly acidic because carbon dioxide dissolves into it, and thus has a pH of about 5.5.(A lower pH indicates greater acidity.)Suppose the EPA wishes to determine whether a particular area is subject to acid rain.Let m denote the true average for pH in this area. a)What is the appropriate null hypothesis? b)What is the appropriate alternative hypothesis? c)In your own words, distinguish between a Type I and a Type II error in this context.
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a)What is the appropriate null hypothesis? b)What is the appropriate alternative hypothesis? c)In your own words, distinguish between a Type I and a Type II error in this context.

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The level of significance of a test is the probability of making a type I error, given that the null hypothesis is true.
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For tests of hypotheses about
decreases as the sample size increases if the level of significance stays the same.

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The choice of the alternative hypothesis depends on the objectives of the study.
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If the null hypothesis is not rejected, there is strong statistical evidence that thenull hypothesis is true.
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All other things being equal, choosing a smaller value of
will increase the probability of making a type II error.

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It is customary to say that the result of a hypothesis test is statistically significant when the P-value is smaller than 

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