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Test4 review SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Provide an appropriate response. 1) The dean of a major university claims that the mean time for students to earn a Masterʹs degree is at most 4.9 years. Write the null and alternative hypotheses. 1) 2) The mean score for all NBA games during a particular season was less than 101 points per game. State this claim mathematically. Write the null and alternative hypotheses. Identify which hypothesis is the claim. 2) Test4 review 3) Given H0 : p ≥ 80% and Ha : p < 80%, determine whether the hypothesis test is left-tailed, 3) right-tailed, or two-tailed. A) right-tailed B) left-tailed C) two-tailed 4) A researcher claims that 62% of voters favor gun control. Determine whether the hypothesis test for this claim is left-tailed, right-tailed, or two-tailed. A) left-tailed B) two-tailed 4) C) right-tailed SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 5) The mean age of bus drivers in Chicago is 52.5 years. Identify the type I and type II errors for the hypothesis test of this claim. 5) Test4 review 6) The mean age of bus drivers in Chicago is 59.3 years. If a hypothesis test is performed, how should you interpret a decision that fails to reject the null hypothesis? 6) A) There is sufficient evidence to support the claim μ = 59.3. B) There is sufficient evidence to reject the claim μ = 59.3. C) There is not sufficient evidence to support the claim μ = 59.3. D) There is not sufficient evidence to reject the claim μ = 59.3. 7) The mean IQ of statistics teachers is greater than 160. If a hypothesis test is performed, how should you interpret a decision that rejects the null hypothesis? A) There is not sufficient evidence to reject the claim μ > 160. B) There is sufficient evidence to reject the claim μ > 160. C) There is sufficient evidence to support the claim μ > 160. D) There is not sufficient evidence to support the claim μ > 160. 1 7) 8) Given H0 : μ ≤ 12, for which confidence interval should you reject H0 ? A) (11.5, 12.5) B) (10, 13) 8) C) (13, 16) 9) Suppose you are using α = 0.05 to test the claim that μ > 14 using a P-value. You are given the 9) sample statistics n = 50, x = 14.3, and s = 1.2. Find the P-value. A) 0.0128 B) 0.0384 C) 0.1321 D) 0.0012 10) Given H0 : μ ≥ 18 and P = 0.070. Do you reject or fail to reject H0 at the 0.05 level of significance? 10) A) not sufficient information to decide B) reject H0 C) fail to reject H0 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 11) A fast food outlet claims that the mean waiting time in line is less than 3.4 minutes. A random sample of 60 customers has a mean of 3.3 minutes with a standard deviation of 0.6 minute. If α = 0.05, test the fast food outletʹs claim. 11) Test4 review 12) You wish to test the claim that μ > 32 at a level of significance of α = 0.05 and are given sample 12) statistics n = 50, x = 32.3, and s = 1.2. Compute the value of the standardized test statistic. Round your answer to two decimal places. A) 1.77 B) 3.11 C) 0.98 D) 2.31 13) Suppose you want to test the claim that μ ≥ 65.4. Given a sample size of n = 35 and a level of significance of α = 0.05, when should you reject H0 ? 13) A) Reject H0 if the standardized test statistic is less than -1.28. B) Reject H0 if the standardized test statistic is less than -2.575. C) Reject H0 if the standardized test is less than -1.96. D) Reject H0 if the standardized test statistic is less than -1.645. 14) Find the standardized test statistic t for a sample with n = 12, x = 22.2, s = 2.2, and α = 0.01 if H0 : μ = 21. Round your answer to three decimal places. A) 2.001 B) 1.890 C) 2.132 2 D) 1.991 14) SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 15) A local group claims that the police issue more than 60 speeding tickets a day in their area. To prove their point, they randomly select two weeks. Their research yields the number of tickets issued for each day. The data are listed below. At α = 0.01, test the groupʹs claim using P-values. 15) 70 48 41 68 69 55 70 57 60 83 32 60 72 58 Test4 review 16) Determine whether the normal sampling distribution can be used. The claim is p < 0.25 and the sample size is n = 18. A) Use the normal distribution. 16) B) Do not use the normal distribution. SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 17) An airline claims that the no-show rate for passengers is less than 5%. In a sample of 420 randomly selected reservations, 19 were no-shows. At α = 0.01, test the airlineʹs claim. 17) Test4 review 18) Compute the standardized test statistic, X2 , to test the claim σ2 = 21.5 if n = 12, s2 = 18, and α = 0.05. A) 9.209 B) 18.490 C) 12.961 18) D) 0.492 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 19) A trucking firm suspects that the variance for a certain tire is greater than 1,000,000. To check the claim, the firm puts 101 of these tires on its trucks and gets a standard deviation of 1200 miles. If α = 0.05, test the trucking firmʹs claim using P-values. 19) Identify the explanatory variable and the response variable. 20) An agricultural business wants to determine if the rainfall in inches can be used to predict the yield per acre on a wheat farm. 20) Provide an appropriate response. 21) The data below are the gestation periods, in months, of randomly selected animals and their corresponding life spans, in years. Construct a scatter plot for the data. Determine whether there is a positive linear correlation, a negative linear correlation, or no linear correlation. Gestation, x Life span, y 8 30 2.1 12 1.3 6 1 3 11.5 25 5.3 12 3 3.8 10 24.3 40 21) Test4 review 22) The data below are the number of absences and the final grades of 9 randomly selected students from a statistics class. Calculate the correlation coefficient, r. Number of absences, x Final Grade, y A) -0.918 22) 1 4 7 5 10 3 16 9 6 97 85 79 81 70 91 54 75 81 B) -0.899 C) -0.991 D) -0.888 23) Given a sample with r = -0.765, n = 22, and α = 0.02, determine the critical values t0 necessary to 23) test the claim ρ = 0. A) ± 2.528 B) ± 2.831 C) ± 1.721 D) ± 2.080 24) 24) Find the equation of the regression line for the given data. x y -5 -3 4 1 -1 -2 0 2 3 -4 11 -6 8 -3 -2 1 5 -5 6 7 ^ ^ A) y = -2.097x + 0.206 B) y = 0.206x - 2.097 ^ ^ C) y = 2.097x - 0.206 D) y = -0.206x + 2.097 25) Use the regression equation to predict the value of y for x = -1.5. Assume that the variables x and y have a significant correlation. x y -5 -3 4 1 -1 -2 0 2 3 -4 11 6 -6 -1 3 4 1 -4 -5 8 A) -2.069 B) -3.022 C) 3.586 D) 0.748 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 26) Find the equation of the regression line by letting Row 1 represent the x-values and Row 2 represent the y-values. Now find the equation of the regression line letting Row 2 represent the x-values and Row 1 represent the y-values. What effect does switching the explanatory and response variables have on the regression line? Row 1 -5 -3 4 1 -1 -2 0 2 3 -4 Row 2 -10 -8 9 1 -2 -6 -1 3 6 -8 4 26) 25) Test4 review ^ 27) Find the standard error of estimate, se, for the data below, given that y = -2.5x. 27) x -1 -2 -3 -4 6 7 10 y 2 A) 0.675 B) 0.349 C) 0.532 D) 0.866 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 28) Calculate the coefficient of determination, given that the linear correlation coefficient, r, is -0.625. What does this tell you about the explained variation and the unexplained variation of the data about the regression line? 28) Test4 review ^ 29) Construct a 95% prediction interval for y given x = 2.5, y = -2.5x and se = 0.866. Round interval to 29) three decimal places. x y -1 -2 -3 -4 2 6 7 10 A) -16.156 < y < 3.656 B) -15.566 < y < 3.066 C) -8.244 < y < -4.256 D) -12.594 < y < 0.094 ^ 30) A multiple regression equation is y = -35,000 + 130x1 + 20,000x2 , where x1 is a personʹs age, x2 is the personʹs grade point average in college, and y is the personʹs income. Predict the income for a person who is 34 years old and had a college grade point average of 2.5. A) $19,420 B) $645,325 C) $54,420 D) $89,420 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 31) The frequency distribution shows the ages for a sample of 100 employees. Find the expected frequencies for each class to determine if the employee ages are normally distributed. Class boundaries 29.5-39.5 39.5-49.5 49.5-59.5 59.5-69.5 69.5-79.5 Frequency, f 14 29 31 18 8 5 31) 30) Test4 review 32) Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting positions. Calculate the chi-square test statistic χ 2 to test the claim that the number of wins is uniformly distributed across the different starting positions. The results are based on 240 wins. Starting Position 1 2 3 4 5 6 Number of Wins 36 45 44 33 50 32 A) 12.592 B) 9.326 C) 15.541 D) 6.750 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 33) The frequency distribution shows the ages for a sample of 100 employees. Are the ages of employees normally distributed? Use α = 0.05. Class boundaries 29.5-39.5 39.5-49.5 49.5-59.5 59.5-69.5 69.5-79.5 Frequency, f 14 29 31 18 8 6 33) 32) Test4 review Find the marginal frequencies for the given contingency table. 34) 34) Blood Type O A B AB Sex F 104 92 18 11 M 75 68 15 7 A) B) 104 92 18 11 215 104 92 18 11 225 75 68 15 7 175 75 68 15 7 160 179 160 33 17 390 179 160 33 18 390 D) C) 104 92 18 11 225 104 92 18 11 235 75 68 15 7 165 75 68 15 7 165 179 160 33 18 390 179 160 33 18 400 Provide an appropriate response. 35) The contingency table below shows the results of a random sample of 200 state representatives that was conducted to see whether their opinions on a bill are related to their party affiliation. Opinion Party Approve Disapprove No Opinion Republican 42 20 14 Democrat 50 24 18 Independent 10 16 6 Find the chi-square test statistic, χ 2 , to test the claim of independence. A) 7.662 B) 11.765 C) 8.030 7 D) 9.483 35) 2 2 36) Calculate the test statistic F to test the claim that σ 1 = σ 2 . Two samples are randomly selected 36) from populations that are normal. The sample statistics are given below. n 1 = 13 n 2 = 12 2 s 1 = 30.576 2 s 2 = 24.375 A) 1.254 B) 0.797 C) 1.573 D) 1.120 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 37) Find the left-tailed and right tailed critical F-values for a two-tailed test. Use the sample statistics below. Let α = 0.05. n 1 = 5 n 2 = 6 2 s 1 = 5.8 2 s 2 = 2.7 38) The weights of a random sample of 25 women between the ages of 25 and 34 had a standard deviation of 28 pounds. The weights of a random sample of 41 women between the ages of 55 and 64 had a standard deviation of 21 pounds. Construct a 95% confidence σ1 2 , where σ1 2 and σ2 2 are the variances of the weights of women between interval for σ2 2 37) 38) the ages 25 and 34 and the weights of women between the ages of 55 and 64 respectively. Test4 review 39) Find the test statistic F to test the claim that the populations have the same mean. Brand 1 n = 8 Brand 2 n = 8 Brand 3 n = 8 x = 3.0 s = 0.50 x = 2.6 s = 0.60 x = 2.6 s = 0.55 A) 1.182 B) 1.021 C) 1.403 8 D) 0.832 39) 40) 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 critical value F0 to test the claim that there is no difference in the average age of each group. Use α = 0.01. Elementary Teachers High School Teachers Community College Teachers 23 41 45 28 38 45 27 36 36 25 47 61 52 42 39 37 31 35 A) 5.42 B) 9.43 C) 6.36 9 D) 5.09 40) Answer Key Testname: 1342TEST4 REVIEW 1) H0 : μ ≤ 4.9, Ha : μ > 4.9 2) claim: μ < 101; H0 : μ ≥ 101, Ha : μ < 101; claim is Ha 3) B 4) B 5) type I: rejecting H0 : μ = 52.5 when μ = 52.5 type II: failing to reject H0 : μ = 52.5 when μ ≠ 52.5 6) D 7) C 8) C 9) B 10) C 11) Fail to reject H0 ; There is not enough evidence to support the fast food outletʹs claim that the mean waiting time is less than 3.4 minutes. 12) A 13) D 14) B 15) P-value = 0.4766. Since the P-value is great than α, there is not sufficient evidence to support the the groupʹs claim. 16) B 17) critical value z 0 = -2.33; standardized test statistic ≈ -0.45; fail to reject H0 ; There is not sufficient evidence to support the airlineʹs claim. 18) A 19) Standardized test statistic ≈ 144; Therefore, at a degree of freedom of 100, P must be less than 0.005. P < α, reject H0 ; There is sufficient evidence to support the firmʹs claim. 20) explanatory variable: rainfall in inches; response variable: yield per acre 21) There appears to be a positive linear correlation. 22) C 23) A 24) D 25) C 26) The sign of m is unchanged, but the values of m and b change. 27) D 28) The coefficient of determination, r2 , = 0.391. That is, 39.1% of the variation is explained and 60.9% of the variation is unexplained. 29) B 10 Answer Key Testname: 1342TEST4 REVIEW 30) A 31) 11, 26, 32, 21, and 7, respectively. 32) D 33) Critical value χ 0 2 = 9.488; chi-square test statistic χ 2 = 1.77; fail to reject H0 ; The ages of employees are normally distributed. 34) C 35) C 36) A 37) FL = 0.107, FR = 7.39 38) (0.827, 3.573) 39) C 40) C 11