Crude oil biodegradation. Refer to the Journal of Petroleum Geology (April 2010) study of the environmental factors associated with biodegradation in crude oil reservoirs, Exercise 6.38 (p. 350). Recall that 16 water specimens were randomly selected from various locations in a reservoir on the floor of a mine and that the amount of dioxide (milligrams/liter)—a measure of biodegradation—as well as presence of oil were determined for each specimen. These data are reproduced in the accompanying table.

a. Conduct a test to determine if the true mean amount of dioxide present in water specimens that contained oil was less than 3 milligrams/liter. Use\(\alpha = .10\)

Short Answer

Expert verified
  1. The test statistic is -14.14
    We reject the null hypothesis

Step by step solution

01

Specifying the hypothesis

The null and alternative hypothesis are given by

\(\begin{aligned}{H_0}:\mu = 3\\{H_a}:\mu < 3\end{aligned}\)

02

calculating the mean and standard deviation

a) The mean and standard deviation is calculated as

\(\begin{aligned}\bar x &= \frac{{0.5 + 1.3 + 0.4 + 0.2 + 0.5 + 0.2}}{6}\\ &= \frac{{3.1}}{6}\\ &= 0.51\end{aligned}\)

\(\begin{aligned}sd &= \sqrt {\frac{{{{\left( { - 0.01} \right)}^2} + {{\left( {0.79} \right)}^2} + {{\left( { - 0.11} \right)}^2} + {{\left( { - 0.31} \right)}^2} + {{\left( { - 0.01} \right)}^2} + {{\left( { - 0.31} \right)}^2}}}{5}} \\ &= \sqrt {\frac{{0.0001 + .6241 + 0.0121 + 0.0961 + 0.0001 + 0.0961}}{5}} \\ &= \sqrt {\frac{{0.9375}}{5}} \\ &= 0.433\end{aligned}\)

Therefore, the mean and standard deviation are 0.51 and 0.433.

03

Test statistic

The test statistic is calculated as

\(\begin{aligned}t &= \frac{{\bar x - \mu }}{{\frac{s}{{\sqrt n }}}}\\ &= \frac{{0.51 - 3}}{{\frac{{0.433}}{{\sqrt 6 }}}}\\ &= \frac{{ - 2.49}}{{0.176}}\\ &= - 14.14\end{aligned}\)

Therefore, the test statistic is -14.14.

Degrees of freedom are

\(\begin{aligned}df &= n - 1\\ &= 6 - 1\\ &= 5\end{aligned}\)

For \(\alpha = .10\,and\,df = 5\)

The tabulated value is -1.47.

The calculated value is less than the tabulated value.

Therefore, we reject the null hypothesis.

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Most popular questions from this chapter

Latex allergy in health care workers. Refer to the Current Allergy & Clinical Immunology (March 2004) study of n = 46 hospital employees who were diagnosed with a latex allergy from exposure to the powder on latex gloves, Exercise 6.112 (p. 375). The number of latex gloves used per week by the sampled workers is summarized as follows: \(\bar x = 19.3\) and s = 11.9. Let \(\mu \) represent the mean number of latex gloves used per week by all hospital employees. Consider testing \({H_0}:\mu = 20\) against \({H_a}:\mu < 20.\)

a. Give the rejection region for the test at a significance level of \(\alpha = 0.01.\)

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Jury trial outcomes. Sometimes, the outcome of a jury trial defies the “common sense” expectations of the general public (e.g., the 1995 O. J. Simpson verdict and the 2011 Casey Anthony verdict). Such a verdict is more acceptable if we understand that the jury trial of an accused murderer is analogous to the statistical hypothesis-testing process. The null hypothesis in a jury trial is that the accused is innocent. (The status-quo hypothesis in the U.S. system of justice is innocence, which is assumed to be true until proven beyond a reasonable doubt.) The alternative hypothesis is guilt, which is accepted only when sufficient evidence exists to establish its truth. If the vote of the jury is unanimous in favor of guilt, the null hypothesis of innocence is rejected, and the court concludes that the accused murderer is guilty. Any vote other than a unanimous one for guilt results in a “not guilty” verdict. The court never accepts the null hypothesis; that is, the court never declares the accused “innocent.” A “not guilty” verdict (as in the Casey Anthony case) implies that the court could not find the defendant guilty beyond a reasonable doubt

a. Define Type I and Type II errors in a murder trial.

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c. The court does not, in general, know the values of α and β ; but ideally, both should be small. One of these probabilities is assumed to be smaller than the other in a jury trial. Which one, and why?

d. The court system relies on the belief that the value of is made very small by requiring a unanimous vote before guilt is concluded. Explain why this is so.

e. For a jury prejudiced against a guilty verdict as the trial begins, will the value ofα increase or decrease? Explain.

f. For a jury prejudiced against a guilty verdict as the trial begins, will the value of β increase or decrease? Explain

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a. Do the survey results allow the NAR to conclude (at α=.01) that the percentage of all residential properties purchased for vacation homes is greater than 10%?

b. In a previous year, the NAR sent the survey questionnaire to a nationwide sample of 45,000 new home owners, of which 1,982 responded to the survey. How might this bias the results? [Note: In the most recent survey, the NAR used a more valid sampling method.

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