Confidence Intervals 낱말 카드 | Quizlet

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25 Terms

1
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When do you use t*?

Means when you don't know the population standard deviation.

2
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When do you use z*?

Means when you know the population standard deviation and proportions.

3
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What's the formula for a one sample proportion confidence interval?

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4
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What's the formula for a one sample mean confidence interval?

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5
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What are 3 ways to reduce margin of error?

1. Increase sample size (n)

2. Use a lower level of confidence

3. Reduce σ

6
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What statement is used to conclude a confidence interval?

I am _____ % confident that the true mean/proportion of (context) is between ______ and ______.

7
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What conditions need to be checked for confidence intervals?

1) SRS

2) Normality

3) Independence

8
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How do you interpret a confidence level?

If you took all possible samples of size n, the true parameter would fall in about ____% of them.

9
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A poll is to be conducted to estimate what proportion of people that work indoors smoke. The researchers want to be 90% confident that this proportion is within 3.5% of the true value. Of the following, which is the smallest sample size that will satisfy the manufacturer's requirements?

550

10
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Which of the following values below represents the critical value for a 98% confidence interval for proportions?

2.326

11
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Which of the following is the critical value for an 80% confidence interval for proportions?

1.282

12
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The 99% confidence interval for a proportion is (0.54, 0.72). What was the sample proportion used to create this interval?

0.63

13
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Which z-value is used for a 95% confidence interval?

1.96

14
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What is the degrees of freedom equal to?

n-1

15
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You take a poll and find that 34% of the 100 people you asked dislike school lunches. Using a 95% confidence level, what is the margin of error?

0.093

16
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The 99% confidence interval for a proportion is (0.54, 0.72). What the margin of error for this interval?

0.09

17
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The 99% confidence interval for a proportion is (0.54, 0.72). What is p̂?

0.63

18
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The 99% confidence interval for a proportion is (0.52, 0.72). What is the margin of error?

0.1

19
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A nurse at a local hospital is interested in estimating the birth weight of infants. How large a sample must she select if she desires to be 95% confident that the true mean is within 3 ounces of the sample mean? The standard deviation of the birth weights is known to be 6 ounces.

16

20
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The standard IQ test has a mean of 96 and a standard deviation of 14. We want to be 99% certain that we are within 4 IQ points of the true mean. Determine the required sample size.

82

21
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A sample size of n = 64 is drawn from a population whose standard deviation is σ = 5.6.

Find the margin of error for a 99% confidence interval for µ.

1.803

22
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An IQ test was given to a simple random sample of 75 students at a certain college. The sample mean score was 105. Scores on this test are known to have a standard deviation of 10. It is desired to construct a 90% confidence interval for the mean IQ scores of the students at the college.

What is the point estimate?

105

23
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An IQ test was given to a simple random sample of 75 students at a certain college. The sample mean score was 105.2. Scores on this test are known to have a standard deviation of 10. It is desired to construct a 90% confidence interval for the mean IQ scores of the students at the college.

1.67

24
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An IQ test was given to a simple random sample of 75 students at a certain college. The sample mean score was 105.2. Scores on this test are known to have a standard deviation of 10. It is desired to construct a 90% confidence interval for the mean IQ scores of the students at the college.

Find the Standard Error.

1.155

25
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An IQ test was given to a simple random sample of 75 students at a certain college. The sample mean score was 105.2. Scores on this test are known to have a standard deviation of 10. It is desired to construct a 90% confidence interval for the mean IQ scores of the students at the college.

Find the Margin of Error

1.9