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Provide an appropriate response. 1) The typing speeds (x) (in words per minute) and reading speeds (y)(in words per minute) of nine randomly selected secretaries were recorded. Use the regression analysis provided below to predict the reading speed for a typing speed of 10 words per minute. Round your answer to.
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18) Do motivation levels between mid-level and upper-level managers differ? A randomly selected 18) group of each were administered a survey, which measures motivation for upward mobility. The scores are summarized below: Assuming equal population standard deviations, find the P-value for testing that the mean scores differ for upper-level and mid-level managers. .
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State the null hypothesis to test for independence. 15) A chemist is interested in comparing four different catalysts by measuring reaction times. Each catalyst is tested five times, with each experiment randomly assigned one of the four catalysts. A) H0: μ1 ≠ μ2 ≠ μ3 ≠ μ4 ≠ μ5 vs. the alternative.
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Select the most appropriate answer. 7) When determining the sample size for estimating a population proportion for a given level of confidence and a desired margin of error, the closer to 0.50 that p is estimated to be A) has no effect on the sample size required. B) the smaller the sample.
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MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Provide an appropriate response. 1) SAT scores for students selected randomly from two different schools are shown below. Find W, the sum of the ranks for the larger sample, to test the claim that the scores for.
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Select the most appropriate answer. P 11) For exponential regression, a plot of versus the x-values is approximately linear. A) the exponential of the y-values C) the residuals B) the logarithm of the y-values D) the y-values Solve the problem. 12) Fell running, a popular sport in England, involves running long distances over.
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Use the contingency table. 19) A sports researcher is interested in determining if there is a relationship between the number of home team and visiting team wins among different sports. A random sample of 526 games is selected and the number of wins of each type by sport are listed below. Calculate.
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Provide an appropriate response. 1) The index (x) of exposure to radioactive waste and the cancer mortality rates (y)(deaths per 100,000) were recorded for nine different Texas counties. The regression analysis is given below. Use the analysis to find the slope of the regression line. A) 8.045663 B) 114.7156 C) 1.418787 D) 9.231456.
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MULTIPLE CHOICE. 18) The body temperatures of adults have a mean of 98.6° F and a standard deviation of 0.60° F. If 36 adults are randomly selected, find the probability that their mean body temperature is greater than 98.4° F. A) 0.9772 B) not enough information to determine C) 0.9360 0.8188 E) 0.0228 19) The.
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Provide an appropriate response. 1) Using the formula, show that the standard error of (x1 - x2) is greater 1than both se(x1) and se(x2). 2) A researcher is interested in the academic performance differences between individuals using an optimistic versus a pessimistic approach to their studies.  If the researcher fails to.
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SHORT ANSWER. Provide an appropriate response. 1) A poll asked whether marijuana should be legalized for medical purposes.  72% said    definitely yes, 20% said probably, 2% said probably not, 5% said definitely not, and 2 % had no opinion. a. Assuming that this was a random sample, construct a 95% confidence interval for the.
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Select the most appropriate answer. 7) Which of the following are assumptions of the analysis of variance F test for comparing population means of several groups? A) Each group has the same standard deviation. B) All of these. C) The random samples drawn from each group are independent. D) None of these. E) Each group.
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10) A family doctor wants to examine the variables that affect his female patients? total cholesterol. He randomly selects 14 of his female patients and asks them to determine their average daily consumption of saturated fat. The output from MINITAB gives the following regression analysis: Predictor Coef SE Coef T P Constant.
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MULTIPLE CHOICE. 10) In one region, the September energy consumption levels for single-family homes had a mean of  1050 kWh and a standard deviation of 218 kWh. If 50 different homes are randomly selected, find the probability that their mean energy consumption level for September is greater than 1075 kWh. A) 0.0438.
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Use the paired t-interval procedure to obtain the required confidence interval for the mean difference. Assume that the conditions and assumptions for inference are satisfied. 1) Ten families are randomly selected and their daily water usage (in gallons) before and after viewing a conservation video. Construct a 90% confidence interval for.
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Provide an appropriate response. 20) In a poll of registered voters nationwide, the responses to the question ?Who do you blame the 20) most for the recent increase in gasoline prices: oil producing countries, oil companies, the President, Americans who drive vehicles that use a lot of gasoline, or normal supply.
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Provide an appropriate response. 1) A researcher found a significant relationship between a person?s age, x1, the number of hours a person works per week, x2, and the number of accidents, y, the person has per year. The relationship can be represented by the multiple regression equation y =-3.2 + 0.012x1.
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Provide an appropriate response. 20) 21) The data given are the gestation periods, in months, of randomly selected mammals and their corresponding life span, in years. Calculate the correlation coefficient r. Round your answer to three decimal places. 21) Gestation (x) 8 2.1 1.3 1 11.5 5.3 3.8 24.3 Life span (y) 30.
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10) A researcher wishes to determine whether there is a difference in the average age of elementary  school, high school, and community college teachers. Teachers are randomly selected. Their ages are recorded below. Find the mean rank for high school teachers that are used in the Kruskal-Wallis test. A) 40.2 B) 63.5.
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Provide an appropriate response. 18) The contingency table below shows the income level for a random sample of adults cross classified by sex. Find the conditional distribution of the variable ?income bracket? for men. A) Male: 52.6%; Female: 47.4 % B) Male: 59.2%; Female: 40.8 % C) Low: 28%; Middle: 36.6%; High: 35.4 % D).
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State the null hypothesis to test for independence. 1) An industrial psychologist is investigating the effects of work environment on employee attitudes. A group of 20 recently hired sales trainees were randomly assigned to one of four different ?home rooms? - five trainees per room. Each room is identical except for.
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MULTIPLE CHOICE Find the mean and standard deviation of the sampling distribution of the proportion. 25) Assume that 26% of students at a university wear contact lenses.  We randomly pick 300 students. Describe the sampling distribution model of the proportion of students in this group who wear contact lenses. A) mean = 26%;.
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Determine the null and alternative hypotheses. 1) In the past, the mean running time for a certain type of radio battery has been 9.6 hours. The manufacturer has introduced a change in the production method and wants to perform a hypothesis test to determine whether the mean running time has changed.
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15) How tall is your average English classmate? To determine this, you measure the height of a random sample of 15 of your 100 fellow students, finding a 95% confidence interval for the mean height of 67.25 to 69.75 inches. MULTIPLE CHOICE. Select the most appropriate answer. 16) The width of a confidence.
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Provide an appropriate response. 1) Show how to construct a multiple regression model for the analysis of mean income over a three-way classification of gender (male, female), race (white, black), and type of job (blue-collar, white-collar, service). Interpret the parameters in the model. Assume that there is no interaction. State the null.
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