/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 30 Data on residential energy consu... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Data on residential energy consumption per capita (measured in million BTU) had a mean of \(70.8\) and a standard deviation of \(7.3\) for the states east of the Mississippi River. Assume that the distribution of residential energy use if approximately unimodal and symmetric. a. Between which two values would you expect to find about \(68 \%\) of the per capita energy consumption rates? b. Between which two values would you expect to find about \(95 \%\) of the per capita energy consumption rates? c. If an eastern state had a per capita residential energy consumption rate of 54 million BTU, would you consider this unusual? Explain. d. Indiana had a per capita residential energy consumption rate of \(80.5\) million BTU. Would you consider this unusually high? Explain.

Short Answer

Expert verified
a. The 68% of the per capita energy consumption rates would lie between 63.5 and 78.1 million BTU. b. The 95% of the per capita energy consumption rates would lie between 56.2 and 85.4 million BTU. c. The per capita residential energy consumption rate of 54 million BTU for an eastern state is indeed unusual, as it falls beyond 2 standard deviations from the mean. d. Indiana's per capita residential energy consumption rate of 80.5 million BTU is high, but not unusually high as it lies within 2 standard deviations range.

Step by step solution

01

Calculating values for 68% data

Under normal distribution, about 68% of the data falls within 1 standard deviation of the mean. Calculate the upper and lower bounds of this range by adding and subtracting the standard deviation (7.3) from the mean (70.8).
02

Calculating values for 95% data

Similarly, about 95% of the data falls within 2 standard deviations of the mean. Calculate the upper and lower bounds of this range by adding and subtracting twice the standard deviation from the mean.
03

Measuring the Unusualness of 54 million BTU

Comparing the given value of 54 million BTU with the calculated ranges. If the value lies beyond 2 standard deviations from the mean, it can be said that the value is unusual.
04

Assessing The Energy Consumption of Indiana

The same logic will be applied to the given data for Indiana, which is 80.5 million BTU. If it sits beyond 2 standard deviations, it's considered unusually high.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

The five-number summary for a distribution of final exam scores is $$ 60,78,80,90,100 $$ Is it possible to draw a boxplot based on this information? Why or why not?

Data at this text's website show the gas taxes for each of the 50 states and the District of Columbia. A summary of the data is shown in the following table. Should the maximum and minimum values of this data set be considered potential outliers? Why or why not? You can check your answer by using technology to make a boxplot using fences to identify potential outliers. (Source: 2017 World Almanac and Book of Facts) $$ \begin{aligned} &\text { Summary statistics }\\\ &\begin{array}{lcclllll} \text { Column } & \mathbf{n} & \text { Std. dev. } & \text { Median } & \text { Min } & \text { Max } & \text { Q1 } & \text { Q3 } \\ \hline \begin{array}{l} \text { Gas Taxes } \\ \text { (ct/gal) } \end{array} & 51 & 8.1011009 & 46.4 & 30.7 & 68.7 & 40.2 & 51 \\ \hline \end{array} \end{aligned} $$

Note: Reported interquartile ranges will vary depending on technology. Name two measures of the variation of a distribution, and state the conditions under which each measure is preferred for measuring the variability of a single data set.

The tables below show the 2015 unemployment rates for states in the northeastern and midwestern regions of the United States. Compare the unemployment rates for the two regions, commenting on the typical unemployment rate of each region and then comparing the amount of variation in the unemployment rate for each region. (Source: 2017 World Almanac and Book of Facts) Northeast States \(\begin{array}{llllllll}5.6 & 5 & 3.4 & 5.6 & 5.3 & 5.1 & 5 & 3.7\end{array}\) Midwest States \(\begin{array}{llllllllll}5.9 & 4.8 & 3.7 & 4.2 & 5.4 & 3.7 & 5 & 3 & 2.7 & 4.9\end{array}\) \(\begin{array}{ll}3.1 & 4.6\end{array}\)

3.59 The Consumer Price Index (CPI) (Example 16) indicates cost of living for a typical consumer and is used by government economists as an economic indicator. The following data shows the CPI for large urban areas in midwestern and western states in the United States. see Guidance page 143 Midwest: \(\begin{array}{llllllll}227.8 & 223.3 & 220.5 & 218.7 & 222.3 & 226.6 & 230.6 & 219.3\end{array}\) West: \(\begin{array}{llllllllll}216.9 & 240.0 & 260.2 & 244.6 & 128 & 244.2 & 269.4 & 258.6 & 249.4\end{array}\) Compare the CPI of the two regions. Start with a graph to determine shape; then compare appropriate measures of center and spread and mention any potential outliers.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.