Interval Estimation Flashcards

1
Q

The absolute value of the difference between the point estimate and the population parameter it estimates is

A

the sampling error

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2
Q

A population has a standard deviation of 50. A random sample of 100 items from this population is selected. The sample mean is determined to be 600. At 95% confidence, the margin of error is

A

9.8

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3
Q

For the interval estimation of  when  is known and the sample is large, the proper distribution to use is

A

the normal distribution

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4
Q

The value added and subtracted from a point estimate in order to develop an interval estimate of the population parameter is known as the

A

margin of error

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5
Q

In order to use the normal distribution for interval estimation of ‘mean’ when ‘sigma’ is known and the sample is very small, the population

A

must have a normal distribution

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6
Q

The z value for a 97.8% confidence interval estimation is

A

2.29

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7
Q

After computing a confidence interval, the user believes the results are meaningless because the width
of the interval is too large. Which one of the following is the best recommendation?

A

Increase the sample size.

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8
Q

In general, higher confidence levels provide

A

wider confidence intervals

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9
Q

A sample of 225 elements from a population with a standard deviation of 75 is selected. The sample mean is 180. The 95% confidence interval for ‘mean’ is

A

170.2 to 189.8

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10
Q

A random sample of 144 observations has a mean of 20, a median of 21, and a mode of 22. The population standard deviation is known to equal 4.8. The 95.44% confidence interval for the population mean is

A

19.200 to 20.800

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11
Q

When s is used to estimate sigma, the margin of error is computed by using

A

t distribution

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12
Q

As the number of degrees of freedom for a t distribution increases, the difference between the t distribution and the standard normal distribution

A

becomes smaller

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13
Q

In interval estimation, the t distribution is applicable only when

A

the sample standard deviation is used to estimate the population standard deviation

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14
Q

From a population that is not normally distributed and whose standard deviation is not known, a sample of 6 items is selected to develop an interval estimate for the mean of the population (‘mean’).

A

The sample size must be increased.

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15
Q

The t value for a 95% confidence interval estimation with 24 degrees of freedom is

A

2.064

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16
Q

A sample of 20 items from a population with an unknown  is selected in order to develop an interval estimate of ‘mean’. Which of the following is not necessary?

A

The sample must have a normal distribution.

17
Q

When constructing a confidence interval for the population mean and the standard deviation of the sample is used, the degrees of freedom for the t distribution equals

A

n-1

18
Q

The following random sample from a population whose values were normally distributed was collected.
10 12 18 16
The 80% confidence interval for ‘mean’ is

A

11.009 to 16.991

19
Q

As the sample size increases, the margin of error

A

decreases

20
Q

The sample size needed to provide a margin of error of 2 or less with a .95 probability when the population standard deviation equals 11 is

A

117

21
Q

For which of the following values of P is the value of P(1 - P) maximized?

A

P = 0.50

22
Q

Using an alpha = 0.04 a confidence interval for a population proportion is determined to be 0.65 to 0.75. If the level of significance is decreased, the interval for the population proportion

A

becomes wider

23
Q

In a random sample of 144 observations, p = 0.6. The 95% confidence interval for P is

A

0.52 to 0.68

24
Q

A random sample of 1000 people was taken. Four hundred fifty of the people in the sample favored Candidate A. The 95% confidence interval for the true proportion of people who favors Candidate A is

A

0.419 to 0.481

25
Q

We are interested in conducting a study in order to determine what percentage of voters of a state would vote for the incumbent governor. What is the minimum size sample needed to estimate the population proportion with a margin of error of 0.05 or less at 95% confidence?

A

385