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A more extensive tabulation of t critical values than what appears in this book shows that for the t distribution with

\({\rm{20}}\)df, the areas to the right of the values \({\rm{.687, }}{\rm{.860, and 1}}{\rm{.064 are }}{\rm{.25, }}{\rm{.20, and }}{\rm{.15,}}\)respectively. What is the confidence level for each of the following three confidence intervals for the mean m of a normal population distribution? Which of the three intervals would you recommend be used, and why?

\(\begin{array}{l}{\rm{a}}{\rm{.(\bar x - }}{\rm{.687s/}}\sqrt {{\rm{21}}} {\rm{,\bar x + 1}}{\rm{.725s/}}\sqrt {{\rm{21}}} {\rm{)}}\\{\rm{b}}{\rm{.(\bar x - }}{\rm{.860\;s/}}\sqrt {{\rm{21}}} {\rm{,\bar x + 1}}{\rm{.325s/}}\sqrt {{\rm{21}}} {\rm{)}}\\{\rm{c}}{\rm{.(\bar x - 1}}{\rm{.064s/}}\sqrt {{\rm{21}}} {\rm{,\bar x + 1}}{\rm{.064s/}}\sqrt {{\rm{21}}} {\rm{)}}\end{array}\)

Short Answer

Expert verified

The third interval, its width is the shortest and it is symmetric.

Step by step solution

01

Confidence level of the three intervals

The confidence level of the three intervals can be computed as

1 - left tail area - right tail area,

which can be said to be the central area. On the pictures below you can see the central area for all three intervals.

02

The central area

(a): reminder: the area to the left of \({\rm{ - 0}}{\rm{.687 is 0}}{\rm{.25}}\) (given in the exercise) and the area to the right of \({\rm{1}}{\rm{.725 is 0}}{\rm{.05}}\),

Therefore, the central area is\(1 - 0.25 - 0.05 = 0.7\)or \(70\% \)confidence level.

(b): reminder: the area to the left of \({\rm{ - 0}}{\rm{.860 is 0}}{\rm{.2}}\) (given in the exercise) and the area to the right of \({\rm{1}}{\rm{.325 is 0}}{\rm{.0}}{\rm{.1}}\),

Therefore, the central area is\(1 - 0.2 - 0.1 = 0.7\)or \(70\% \)confidence level.

(c): reminder: the area to the left of \({\rm{ - 1}}{\rm{.064 is 0}}{\rm{.15}}\) (given in the exercise) and the area to the right of \({\rm{1}}{\rm{.064 is 0}}{\rm{.15}}\), therefore, the central area is

\(1 - 0.15 - 0.15 = 0.7\)or \(70\% \)confidence level.

The confidence level for all three intervals is the same.

03

The width of the interval

The width of the interval shall decide which interval to recommend. The width can be computed by subtracting the lower bound from the upper bound.

(a): for this interval, the width is

\({\rm{\bar x + 0}}{\rm{.687}}\frac{{\rm{s}}}{{\sqrt {{\rm{21}}} }}{\rm{ - }}\left( {{\rm{\bar x - 1}}{\rm{.725}}\frac{{\rm{s}}}{{\sqrt {{\rm{21}}} }}} \right){\rm{ = 2}}{\rm{.412 \times }}\frac{{\rm{s}}}{{\sqrt {{\rm{21}}} }}\)

(b): for this interval, the width is

\({\rm{\bar x + 0}}{\rm{.860}}\frac{{\rm{s}}}{{\sqrt {{\rm{21}}} }}{\rm{ - }}\left( {{\rm{\bar x - 1}}{\rm{.325}}\frac{{\rm{s}}}{{\sqrt {{\rm{21}}} }}} \right){\rm{ = 2}}{\rm{.185 \times }}\frac{{\rm{s}}}{{\sqrt {{\rm{21}}} }}\)

(c): for this interval, the width is

\({\rm{\bar x + 1}}{\rm{.064}}\frac{{\rm{s}}}{{\sqrt {{\rm{21}}} }}{\rm{ - }}\left( {{\rm{\bar x - 1}}{\rm{.064}}\frac{{\rm{s}}}{{\sqrt {{\rm{21}}} }}} \right){\rm{ = 2}}{\rm{.128 \times }}\frac{{\rm{s}}}{{\sqrt {{\rm{21}}} }}\)

Obviously, the width of the third interval is the smallest, and the interval is symmetrical, therefore it should be used.

For a t interval the symmetric interval is always the best choice.

Hence The third interval, its width is the shortest and it is symmetric.

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Most popular questions from this chapter

A study of the ability of individuals to walk in a straight line reported the accompanying data on cadence (strides per second) for a sample of n =\({\rm{20}}\) randomly selected healthy men.

\({\rm{.95 }}{\rm{.85 }}{\rm{.92 }}{\rm{.95 }}{\rm{.93 }}{\rm{.86 1}}{\rm{.00 }}{\rm{.92 }}{\rm{.85 }}{\rm{.81 }}{\rm{.78 }}{\rm{.93 }}{\rm{.93 1}}{\rm{.05 }}{\rm{.93 1}}{\rm{.06 1}}{\rm{.06 }}{\rm{.96 }}{\rm{.81 }}{\rm{.96}}\)

A normal probability plot gives substantial support to the assumption that the population distribution of cadence is approximately normal. A descriptive summary of the data from Minitab follows:

Variable N Mean Median TrMean StDev SEMean cadence

\({\rm{20 0}}{\rm{.9255 0}}{\rm{.9300 0}}{\rm{.9261 0}}{\rm{.0809 0}}{\rm{.0181}}\)

Variable Min Max Q1 Q3 cadence

\({\rm{0}}{\rm{.7800 1}}{\rm{.0600 0}}{\rm{.8525 0}}{\rm{.9600}}\)

a. Calculate and interpret a \({\rm{95\% }}\) confidence interval for population mean cadence.

b.Calculate and interpret a \({\rm{95\% }}\)prediction interval for the cadence of a single individual randomly selected from this population.

c. Calculate an interval that includes at least \({\rm{99\% }}\)of the cadences in the population distribution using a confidence level of \({\rm{95\% }}\)

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a.Calculate and interpret a confidence interval using a 95% confidence level for the true proportion of all athletes found to have the EILO condition under these circumstances.

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c.Does the upper limit of the interval in (a) specify a 95% upper confidence bound for the proportion being estimated? Explain.

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a. Calculate and interpret a confidence interval at the \({\rm{99\% }}\)confidence level for the proportion of all adult Americans who believe in astrology.

b. What sample size would be required for the width of a \({\rm{99\% }}\)CI to be at most .05 irrespective of the value of p?

The article 鈥淢easuring and Understanding the Aging of Kraft Insulating Paper in Power Transformers鈥 contained the following observations on degree of polymerization for paper specimens for which viscosity tim\({\rm{418 421 421 422 425 427 431 434 437 439 446 447 448 453 454 463 465}}\)es concentration fell in a certain middle range:

a. Construct a boxplot of the data and comment on any interesting features.

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a.Calculate and interpret a 95% CI for true average arsenic concentration in all such water specimens.

b.Calculate a 90% upper confidence bound for the standard deviation of the arsenic concentration distribution.

c.Predict the arsenic concentration for a single water specimen in a way that conveys information about precision and reliability.

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