Choose a word to replace the italicized word in each sentence. All of the possible choices for each sentence have similar definitions, but the correct answer will have a connotation that best suits the context. For example, the words "delete," "destroy," and "obliterate" all mean "to remove or wipe out, but no one would ever say, "I destroyed the name from the document." The correct choice will be the word that has the best specific meaning and does not render the sentence awkward in tone or content. When choices seem close, look for a clue in the context that makes one choice better than the other. Note that the correct answer is not always the primary vocabulary word from the lesson. confused, austere, poor, erudite, inane, hard, destitute, slovenly, unkempt, dumb, inhospitable, educated, freezing. Though the lady's maid had grown up in poverty, her smart speech and vast knowledge revealed that she had received a superior education. Better word: _____

In 2003 the U.S. Department of Education conducted a National Assessment of Adult Literacy by interviewing a random sample of 18,102 adults (aged 16+). Researchers assessed the respondents' literacy levels and also asked them how often they engaged in volunteer activities. The data are summarized in the table below.

$$\scriptstyle\begin{array}{|l|cccc|}\hline \text{Volunteer} & \text{Below} & & \\ \text{Activity} & \text{Basic} & \text{Basic} & \text{Intermediate} & \text{Proficient} \\\hline \text { Once per } & & & & \\ \text { week or } & 263 & 818 & 1654 & 611 \\ \text { more } & & & & \\ \text { Less than } & & & & \\ \text { once per } & 184 & 872 & 2068 & 782 \\ \text { week } & & & & \\ \text { Never } & 2185 & 3762 & 4550 & 1051 \\ \hline\end{array}$$

If we wish to test whether Volunteer Activity and Literacy Level are independent, how many degrees of freedom are there? A) 4 B) 6 C) 11 D) 18,801

The Data Bank is found in the mentioned Appendix:

Select two variables that might be related: for example, IQ and educational level; age and cholesterol level; exercise and weight; or weight and systolic pressure. Do a complete correlation and regression analysis by performing the following steps. Select a random sample of at least 10 subjects.

a. Draw a scatter plot.

b. Compute the correlation coefficient.

To encourage performance, loyalty, and continuing education, the human resources department at a large company wants to develop a regression-based compensation model (Comp in dollars per year) for mid-level managers based on three variables: (1) business unit-profitability (Profit in $\$1000$'s per year), (2) years with the company (Years), and (3) whether or not the manager has a graduate degree (Grad equals $1$ if graduate degree, o otherwise). The accompanying table shows a portion of data collected for $36$ managers.

$$\begin{array}{|c|c|c|c|} \hline \text { Comp } & \text { Profit } & \text { Years } & \text { Grad } \\ \hline 118100 & 4500 & 37 & 1 \\ \hline 90800 & 5400 & 5 & 1 \\ \hline \vdots & \vdots & \vdots & \vdots \\ \hline 85000 & 4200 & 29 & 0 \\ \hline \end{array}$$

At the $5 \%$ significance level, is the overall regression model significant?

The meals-ready-to-eat (MREs) in the military can be heated on a flameless heater. You can purchase a similar product called "Heater Meals." Just pour water into the heater unit, wait a few minutes, and you have a hot meal. The source of energy in the heater is

$$\mathrm{Mg}(\mathrm{s})+2 \mathrm{H}_2 \mathrm{O}(\ell) \rightarrow \mathrm{Mg}(\mathrm{OH})_2(\mathrm{~s})+\mathrm{H}_2(\mathrm{~g})$$

The "heater meal" uses the reaction of magnesium with water as a source of energy as heat.

Calculate the enthalpy change under standard conditions, in joules, for this reaction. What quantity of magnesium is needed to supply the energy required to warm $25 \mathrm{~mL}$ of water $(d=1.00 \mathrm{~g} / \mathrm{mL})$ from $25{ }^{\circ} \mathrm{C}$ to $85^{\circ} \mathrm{C}$? (See W. Jensen: Journal of Chemical Education, Vol. 77, pp. 713-717, 2000.)

The General Social Survey (GSS) asked a random sample of adults their opinion about whether astrology is very scientific, sort of scientific, or not at all scientific. Here is a two-way table of counts for people in the sample who had three levels of higher education:

$$\begin{array}{ccc} & \text{Degree held} \\ \text{Opinion about astrology} & {\begin{array}{l|c|c|c|c} & \text { Associate's } & \text { Bachelor's } & \text { Master's } & \text { Total } \\ \hline \begin{array}{l} \text { Not al all } \\ \text { scientific } \end{array} & 169 & 256 & 114 & 539 \\ \hline \begin{array}{l} \text { Very or sort } \\ \text { of scientific } \end{array} & 65 & 65 & 18 & 148 \\ \hline \text { Total } & 234 & 321 & 132 & 687 \end{array}} \\ \end{array}$$

Calculate the chi-square test statistic, df, and P-value.

Don Beville invested yearly in a fund for his children's college education. At the beginning of the first year, he invested $1000; at the beginning of the second year,$2000; at the third through the sixth, $2500 each year; and at the beginning of the seventh, he invested$5000. At the beginning of the eighth year, there was $21,259 in the fund. (a) Draw a time line for this investment program. (b) Write a seventh-degree polynomial equation in 1 + i that gives the YTM for this investment program. (c) Use a graphing calculator to show that the YTM is less than 5.07% and greater than 5.05%. (d) Use a graphing calculator to calculate the solution for 1 + i and find the YTM. (e) Go to the website WolframAlpha.com, and ask it to solve the polynomial from part (b). Compare this method of solving the equation with using a graphing calculator.

In a study of military enlistments, Brown considers total military compensation C as the sum of basic military compensation B (which includes the value of allowances, tax advantages, and base pay) and educational benefits E. Thus, C=B+E. Brown states that $\ln C=\ln B+\ln \left(1+\frac{E}{B}\right)$. Verify this.

(a) identify the claim and state $H_0$ and $H_a$, (b) find the critical value(s) and identify the rejection region(s), (c) find the standardized test statistic z, (d) decide whether to reject or fail to reject the null hypothesis, and (e) interpret the decision in the context of the original claim. Assume the samples are random and independent. In a survey of 1750 females ages 20 to 24 whose highest level of education is completing high school, 64.4% were employed. In a survey of 500 males ages 20 to 24, 15.8% were neither in school nor working. In a survey of 500 females ages 20 to 24, 17.8% were neither in school nor working. At $\alpha=0.05$, can you support the claim that the proportion of males ages 20 to 24 who were neither in school nor working is less than the proportion of females ages 20 to 24 who were neither in school nor working?

In addition to asking about educational attainment the survey conducted in Exercise 12.131 also asked whether the respondent had plans in the next 2 years to take a course (1 = No, 2 = Yes). Can we conclude that Californians who did not complete high school are less likely to take a course in the university’s evening program?

A person is selected at random from the number of U.S. men and women (in millions) 25 years old and older who have attained various levels of education in a recent year.

$$\begin{array}{|l|c|c|c|c|c|c|} \hline & \text{Not a high} & \text{High school} & \text{Some college,} & \text{Associate's} & \text{Bachelor's} & \text{Advanced}\\ & \text{school graduate} & \text{graduate} & \text{no degree} & \text{degree} & \text{degree} & \text{degree}\\ \hline \text{Men} & 14.0 & 29.6 & 15.6 & 7.2 & 17.5 & 10.1\\ \hline \text{Women} & 13.7 & 31.9 & 17.5 & 9.6 & 19.2 & 9.1\\ \hline \end{array}$$

$\textbf{a.}\hspace{10pt}$ What is the probability that the person is a woman who is a high school graduate?

$\textbf{b.}\hspace{10pt}$ What is the probability that the person is a high school graduate?

$\textbf{c.}\hspace{10pt}$ What is the probability that the person is a woman, given that the person is a high school graduate?

Apple Inc. designs, manufactures, and markets personal computers and related personal computing and communicating solutions for sale primarily to education, creative, consumer, and business customers. Substantially all of the company’s net sales over the last five years are from sales of its Macs, iPods, iPads, and related software and peripherals. For two recent fiscal years, Apple reported the following (in millions):

Assume that the accounts receivable (in millions) were $2,422 at the beginning of fiscal Year 1.

1. Compute the accounts receivable turnover for Year 2 and Year 1. Round to one decimal place.
2. Compute the days’ sales in receivables at the end of Year 2 and Year 1. Round to one decimal place.
3. What conclusions can be drawn from (1) and (2) regarding Apple’s efficiency in collecting receivables?

An article in American Demographics addressed the same telecommuting issue in a slightly different way. They concluded that "people who work exclusively at home tend to be older and better educated than those who have to leave home to report to work." Use the data below based on random samples of 300 workers each to either support or refute their conclusions. Use the appropriate test of hypothesis, and explain why you either agree or disagree with the American Demographics conclusions. Note that "Mixed" workers are those who reported working at home at least one full day in a typical week.

Age, Non-home, Mixed, Home 15-34, 73, 23, 12 35-54, 85, 40, 23 55 and Over, 22, 12, 10

Education, Non-home, Mixed, Home Less than H.S. Diploma, 23, 3, 5 H.S. Graduate, 54, 12, 11 Some College/Assoc. Degree, 53, 24, 14 B.A. or More, 41, 42, 18

A researcher interviews 50 employees of a large manufacturer and collects data on each worker’s hourly wage (Wage in $), years of higher education (EDUC), experience (EXPER), and age (AGE). A portion of the data is shown in the accompanying table.$

$$\begin{array}{|c|c|c|c|} \hline \text { Wage } & \text { EDUC } & \text { EXPER } & \text { AGE } \\ \hline 37.85 & 11 & 2 & 40 \\ \hline 21.72 & 4 & 1 & 39 \\ \hline & \vdots & \vdots & \vdots \\ \hline 24.18 & 8 & 11 & 64 \\ \hline \end{array}$$

$a. Estimate: Wage$=\beta_0+\beta_1$EDUC$+\beta_2 $\mathrm{EXPER}$+\beta_3 $\mathrm{AGE}$+\varepsilon$b. The researcher wonders if the influence of experience is different from that of age, or if$\beta_2 \neq \beta_3$. Specify the competing hypotheses for this test.

c. What is the restricted model given that the null hypothesis is true? Estimate this model.

d. At the$5 \%$ significance level, can you conclude that the influence of experience is different from that of age?