Chapter 1. Parameters and Statistics

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Questions 1-3

2:04

Question 1.1

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Incorrect. The mean of data in a sample is a statistic.
Correct. The mean of data in a sample is a statistic.
Incorrect. Try again.
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Question 1.2

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Incorrect. The proportion of all of the categorical data in a population is a parameter.
Correct. The proportion of all of the categorical data in a population is a parameter.
Incorrect. Try again.
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Question 1.3

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Incorrect. In inference we use the value of a statistic to estimate the value of a parameter.
Correct. In inference we use the value of a statistic to estimate the value of a parameter.
Incorrect. Try again.
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Question 4

3:13

Question 1.4

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Incorrect. Since the mean is of all entering freshmen, it is the mean of a population and hence, a parameter.
Correct. Since the mean is of all entering freshmen, it is the mean of a population and hence, a parameter.
Incorrect. Try again.
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Question 5

3:25

Question 1.5

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Incorrect. Since the people who were questioned are from a sample, the proportion is of a sample and hence, a statistic.
Correct. Since the people who were questioned are from a sample, the proportion is of a sample and hence, a statistic.
Incorrect. Try again.
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Questions 6-7

3:41

Question 1.6

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Incorrect. Since the mean is of a sample of pizzas, it is a statistic.
Correct. Since the mean is of a sample of pizzas, it is a statistic.
Incorrect. Try again.
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Question 1.7

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Incorrect. A result from a sample is a statistic and a result from a population is a parameter. What the result is (mean or proportion) does not determine whether it is a statistic or a parameter.
Correct. A result from a sample is a statistic and a result from a population is a parameter. What the result is (mean or proportion) does not determine whether it is a statistic or a parameter.
Incorrect. Try again.
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