The following contingency table cross-classifies 307 randomly selected lawyers by status in practice and the size of the city in which they practice. At the 5% significance level, do the data provide sufficient evidence to conclude that size of city and status in practice are statistically dependent for lawyers? State in practice\ size of city Less than 250,000 250,000–499,999 500,000 or more Total Government 12 4 14 30 Judicial 8 1 3 11 Private practice 122 13 69 222 Salaried 19 7 18 44 Total 161 43 103 307

The following contingency table cross-classifies 307 randomly selected lawyers by status in practice and the size of the city in which they practice. At the 5% significance level, do the data provide sufficient evidence to conclude that size of city and status in practice are statistically dependent for lawyers? State in practice\ size of city Less than 250,000 250,000–499,999 500,000 or more Total Government 12 4 14 30 Judicial 8 1 3 11 Private practice 122 13 69 222 Salaried 19 7 18 44 Total 161 43 103 307

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section11.4: Collecting Data

Problem 6E

See similar textbooks

Similar questions

What is a sample space?
What is meant by the sample space of an experiment?
Do U.S census bureau conducts annual survey to obtain information on the percentage of the voting age population that is registered to vote. Suppose that 385 employed person and 473 unemployed persons are independently and randomly selected, in that 202 of the employed persons and 185 of the unemployed persons have registered to vote. Can we conclude that the percentage of employed workers (P1), who have registered to vote, exceeds the percentage of an unemployed workers (P2), who have registered to vote? Use a a significance level of a= 0.1 for the test. 1. compute the value of the test statistic. Round to two decimal places. 2. determine the decision rule for rejecting the null hypothesis Ho. Round the numerical portion to two decimal places. 3. make the decision for the hypothesis test.
Do U.S census bureau conducts annual survey to obtain information on the percentage of the voting age population that is registered to vote. Suppose that 385 employed person and 473 unemployed persons are independently and randomly selected, in that 202 of the employed persons and 185 of the unemployed persons have registered to vote. Can we conclude that the percentage of employed workers (P1), who have registered to vote, exceeds the percentage of an unemployed workers (P2), who have registered to vote? Use a a significance level of a= 0.1 for the test. 1.state the knoll and now turn to hypothesis for the test. 2.find the values of the two sample poroportions,p1 and p2.round to three decimal places. 3.compute the weighted estimate of p, p. Round to three decimal places. 4.compute the value of the test statistic. Round to two decimal places. 5.determine the decision rule for rejecting the null hypothesis Ho. Round the numerical portion to two decimal places. 6.make the decision…
A curious student wants to see if she can conclude that a higherproportion of Woodland College students transfer to Sac State than Yuba College students. He samples 82 Woodland College students and finds that 23 of them transferred to Sac State. He also samples 95 Yuba college students and finds that 21 of them transferred to Sac State. What can be concluded at a 5% significance level? Use the pvalue approach.
The U.S. Census Bureau conducts annual surveys to obtain information on the percentage of the voting-age population that is registered to vote. Suppose that 713 employed persons and 613 unemployed persons are independently and randomly selected and that 338 of the employed persons and 244 of the unemployed persons have registered to vote. Can we conclude that the percentage of employed workers ( p1 ), who have registered to vote, exceeds the percentage of unemployed workers ( p2 ), who have registered to vote? Use a significance level of α=0.1 for the test. Step 1 of 6 : State the null and alternative hypotheses for the test. Step 2 of 6 : Find the values of the two sample proportions, pˆ1p^1 and pˆ2p^2. Round your answers to three decimal places. Step 3 of 6 : Compute the weighted estimate of p, p‾p‾. Round your answer to three decimal places. Step 4 of 6 : Compute the value of the test statistic. Round your answer to two decimal places.…
c please survey of 1000 adults from a certain region asked, "If purchasing a used car made certain upgrades or features more affordable, what would be your preferred luxury upgrade?" The results indicated that 58% of the females and 51% of the males answered window tinting. The sample sizes of males and females were not provided. Suppose that of 600 females, 348 reported window tinting as their preferred luxury upgrade of choice, while of 400 males, 204 reported window tinting as their preferred luxury upgrade of choice. Complete parts (a) through (d) below. a. Is there evidence of a difference between males and females in the proportion who said they prefer window tinting as a luxury upgrade at the 0.05 level of significance? State the null and alternative hypotheses, where π1 is the population proportion of females who said they prefer window tinting as a luxury upgrade and π2 is the population proportion of males who said they prefer window tinting as a…
Computer engineers working in the service sector are said to be paid more than those working in the manufacturing sector. In order to test this, 80 computer engineers working in the service sector and 112 computer engineers working in the manufacturing sector were randomly selected and the following sample statistics were obtained: a) Can it be said that computer engineers working in the service sector at the 10% importance level are paid more than those working in the production sector?b) If the wage difference between the two groups is actually 50 TL, II. What is the probability of making a type error?
b) The Energy Information Administration gathers data on residential energy consumption and expenditures and publishes its findings in Residential Energy Consumption Survey: Consumption and Expenditures. The independent simple random samples of households in the four U.S. regions yielded the data on last year’s energy consumptions are shown in Table 2. At the 5% significance level, do the data provide sufficient evidence to conclude that a difference exists in last year’s mean energy consumption by households among the four U.S. regions? Table 2: Last year’s energy consumptions for samples of households in the four U.S. regionsNortheast Midwest South West15 17 11 1010 12 7 1213 18 9 814 13 13 713 15 - 9- 12 - -
The Hate Crime Statistics Act of 1990 requires the Attorney General to collect national data about crimes that manifest evidence of prejudice based on race, religion, sexualorientation, or ethnicity, including the crimes of murder and non-negligent manslaughter,forcible rape, aggravated assault, simple assault, intimidation, arson, and destruction, dam-age, or vandalism of property. The Hate Crime Data collected in 2005 reveals, based on arandomly selected sample of 500 incidents, that the mean number of victims in a particulartype of hate crime was 2.65, with a standard deviation of 1.22. Assuming that the numberof victims wasnormally distributed, answer the following questions. a) What proportion of crime incidents had more than three victims? b) What is the probability that there was more than one victim in an incident? c) What proportion of crime incidents had less than four victims? d) Construct and interpret an estimate of the population at the 95% level.
The average January temperatures for popular tourist cities on selected continents is listed. Is there enough evidence at the 0.1 significance level to conclude a difference in temperatures for these three regions? Write a conclusion statement for your results. Asia: 89, 35, 83, 67, 48 Europe: 41, 38, 36, 56, 50 South America: 87, 75, 66, 84, 75
Following is a list of 21 African nations for which information is available on voter turnout (percentage of the voting age population) for president between 2005 and 2008. Compute and interpret the median and mean percentage turnout. TABLE 3.6 Presidential Voter Turnout, 21 African Countries, 2005–2008Country Year % Turnout VAPBurkina Faso 2005 36.4Cape Verde 2006 78.59Central African Republic 2005 45.14Chad 2006 71.4Comoros 2006 52.14Djibouti 2005 67.82Egypt 2005 16.41Gabon 2005 51.47Gambia 2006 50.66Guinea-Bissau 2005 66.84Kenya 2007 54.49Liberia 2005 59.01Madagascar 2006 50.85Mali 2007 48.18Mauritania 2007 53.55São Tomé and Príncipe 2006 69.76Senegal 2007 55.11Seychelles 2006 97.08Sierra Leone 2007 62.02Zambia 2008 34.18Zimbabwe 2008 47.27