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Explain the Role of Margin of Error in Constructing a Confidence Interval -Suppose a 95% confidence interval for turns out to be (130, 300) . To make more useful inferences from the data, it is desired to reduce the width of the confidence interval. Which of the following will result in a reduced interval width


A) All of these.
B) Increase the sample size.
C) Decrease the confidence level.
D) Increase the sample size and decrease the confidence level.

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State the Properties of Student s t-Distribution -Suppose a 99%99 \% confidence interval for μ\mu turns out to be (1000,2100) ( 1000,2100 ) . If this interval was based on a sample of size n=26n = 26 , explain what assumptions are necessary for this interval to be valid.


A) The population must have an approximately normal distribution.
B) The sampling distribution of the sample mean must have a normal distribution.
C) The population of salaries must have an approximate tt distribution.
D) The sampling distribution must be biased with 25 degrees of freedom.

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Choose the one alternative that best completes the statement or answers the question. -A point estimate is the value of a_____ that estimates the value of a_____


A) statistic; parameter
B) parameter; statistic
C) random variable; statistic
D) random variable; parameter

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Provide an appropriate response. -Construct a 90%90 \% confidence interval for the population mean, μ\mu . Assume the population has a normal distribution. A sample of 15 randomly selected math majors has a grade point average of 2.862.86 with a standard deviation of 0.780.78 .


A) (2.51,3.21) ( 2.51,3.21 )
B) (2.41,3.42) ( 2.41,3.42 )
C) (2.37,3.56) ( 2.37,3.56 )
D) (2.28,3.66) ( 2.28,3.66 )

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Provide an appropriate response. -Construct a 95%95 \% confidence interval for the population mean, μ\mu . Assume the population has a normal distribution. A sample of 20 part-time workers had mean annual earnings of $3120\$ 3120 with a standard deviation of $677\$ 677 .


A) ($2803,$3437) ( \$ 2803 , \$ 3437 )
B) ($1324,$1567) ( \$ 1324 , \$ 1567 )
C) ($2135,$2567) ( \$ 2135 , \$ 2567 )
D) ($2657,$2891) ( \$ 2657 , \$ 2891 )

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Provide an appropriate response. -The mean replacement time for a random sample of 12 cd12 \mathrm {~cd} players is 8.68.6 years with a standard deviation of 5.15.1 years. Construct the 98%98 \% confidence interval for the population variance, σ2\sigma ^ { 2 } . Assume the data are normally distributed


A) (11.6,93.7) ( 11.6,93.7 )
B) (3.4,9.7) ( 3.4,9.7 )
C) (2.3,18.4) ( 2.3,18.4 )
D) (10.9,80.1) ( 10.9,80.1 )

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Provide an appropriate response. -In a random sample of 26 laptop computers, the mean repair cost was $157\$ 157 with a standard deviation of $38\$ 38 . Assume the population has a normal distribution. a) Construct a 95%95 \% confidence interval for the population mean, μ\mu . b) Suppose you did some research on repair costs for laptop computers and found that the standard deviation is σ=38\sigma = 38 . Use the normal distribution to construct a 95%95 \% confidence interval for the population mean, μ\mu . Compare the results.

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a) blured image
b) blured image; T...

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Provide an appropriate response. -How much money does the average professional hockey fan spend on food at a single hockey game? That question was posed to 10 randomly selected hockey fans. The sampled results show that sample mean and standard deviation were $19.00\$ 19.00 and $3.35\$ 3.35 , respectively. Use this information to create a 98%98 \% confidence interval for the mean.


A) 19±2.821(3.35/10) 19 \pm 2.821 ( 3.35 / \sqrt { 10 } )
B) 19±2.764(3.35/10) 19 \pm 2.764 ( 3.35 / \sqrt { 10 } )
C) 19±2.718(3.35/10) 19 \pm 2.718 ( 3.35 / \sqrt { 10 } )
D) 19±2.262(3.35/10) 19 \pm 2.262 ( 3.35 / \sqrt { 10 } )

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Provide an appropriate response. -What is the best point estimate for pp in order to construct a confidence interval for pp ?


A) p^\hat { p }
B) μp\mu _ { \mathrm { p } }
C) p\overline { \mathrm { p } }
D) pp

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Choose the one alternative that best completes the statement or answers the question. -The margin of error of a confidence interval is


A) ±zα/2σn\pm z _ { \alpha / 2 } \frac { \sigma } { \sqrt { n } }
B) zα/2\mathrm { z } _ { \alpha / 2 }
C) xˉ\bar { x }
D) σn\frac { \sigma } { \sqrt { n } }

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Provide an appropriate response. -A senator wishes to estimate the proportion of United States voters who favor abolishing the Electoral College. How large a sample is needed in order to be 98%98 \% confident that the sample proportion will not differ from the true proportion by more than 5%5 \% ?


A) 543
B) 385
C) 12
D) 1086

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Write the word or phrase that best completes each statement or answers the question. -The grade point averages for 10 randomly selected students in a statistics class with 125 students are listed below. What can you say about the mean score μ\mu of all 125 students? 3.02.73.22.82.23.83.72.13.63.4\begin{array} { l l l l l l l l l l } 3.0 & 2.7 & 3.2 & 2.8 & 2.2 & 3.8 & 3.7 & 2.1 & 3.6 & 3.4\end{array}

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Choose the one alternative that best completes the statement or answers the question. -A random sample of 56 lithium batteries has a mean life of 645 hours with a population standard deviation of 31 hours. Compute the 95%95 \% confidence interval for μ\mu .


A) (636.9,653.1) ( 636.9,653.1 )
B) (539.6,551.2) ( 539.6,551.2 )
C) (112.0,118.9) ( 112.0,118.9 )
D) (712.0,768.0) ( 712.0,768.0 )

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Provide an appropriate response. -A state highway patrol official wishes to estimate the number of legally intoxicated drivers on a certain road. a) How large a sample is needed in order to be 99%99 \% confident that the sample proportion will not differ from the true proportion by more than 2%2 \% ? b) Repeat part (a) assuming previous studies found that 80%80 \% of the drivers on this road are legally intoxicated.

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Provide an appropriate response. -A survey of 700 non-fatal accidents showed that 272 involved uninsured drivers. Construct a 99%99 \% confidence interval for the proportion of fatal accidents that involved uninsured drivers.

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Provide an appropriate response. -In a college student poll, it is of interest to estimate the proportion pp of students in favor of changing from a quarter-system to a semester-system. How many students should be polled so that we can estimate p to within 0.090.09 using a 99%99 \% confidence interval?


A) 205
B) 182
C) 261
D) 114

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Provide an appropriate response. -The best point estimate for the standard deviation of a population is


A) The standard deviation of the sample.
B) The variance of the population.
C) The variance of the sample.
D) (n1) s2σ2\frac { ( n - 1 ) s ^ { 2 } } { \sigma ^ { 2 } } .

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Determine the Sample Size Necessary for Estimating the Population Mean within a Specified Margin of Error - E=4,σ=35(1α) =0.90\mathrm { E } = 4 , \sigma = 35 \text {, } ( 1 - \alpha ) = 0.90


A) 208
B) 207
C) 4
D) 295

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Choose the one alternative that best completes the statement or answers the question. -Determine the point estimate of the population mean for the confidence interval with a lower bound of 19 and an upper bound of 25 .


A) 22
B) 19
C) 25
D) 23

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Determine t-values -Let to be a specific value of tt . Find t0t _ { 0 } such that the following statement is true: P(tt0) =0.1P \left( t \geq t _ { 0 } \right) = 0.1 where df=20d f = 20


A) 1.3251.325
B) 1.325- 1.325
C) 1.3281.328
D) 1.328- 1.328

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