Destination Dayton Louisville Chicago-O Hare 319 142 Grand Rapids, Mich. 192 213 Portland, Ore. 503 317 Atlanta 256 387 Seattle 339 317 South Bend, Ind. 379 167 Miami 268 273 Dallas-Ft. Worth 288 274 Q1 Based on the air fare data, is it significantly more cos is to fly out of Louisville? Assume there is unequal v Use a 90% confidence level, or alpha = .1. Select one: a. Yes, it is almost 25% more expensive to fly out of b. Yes, the t critical is bigger than the t statistic. c. No, we can conclude the one tail test has a p value which does not allow us to reject the claim of equa significance. d. Yes, we can conclude the two tail test has a p valu us to reject the claim of equal means a, is it significantly more costly to fly out of Dayton than it e? Assume there is unequal variance in the two samples. evel, or alpha = .1. more expensive to fly out of Dayton. gger than the t statistic. he one tail test has a p value of greater than .1, us to reject the claim of equal means at the 10% level of the two tail test has a p value of .1, which allows of equal means Southwest AirTran 45 34 64 59 42 43 33 30 66 3 105 32 45 42 28 85 38 30 85 48 75 110 45 50 33 10 50 26 63 70 42 52 35 83 33 78 64 27 65 70 27 90 38 52 76 Q2 The data show the number of minutes that delayed flights by AirTran Ai Airlines. Is there a difference in the number of delayed minutes between Use a 0.01 significance level and assume there is unequal variance in the Select one: a. Yes, the difference between the two airlines is over 2 minutes. b. Yes, the t critical is bigger than the t statistic. c. No, we can conclude the two tail test has a p value of greater than .01, which does not allow us to reject the claim of equal means at the 1% lev significance. d. Yes, we can conclude the one tail test has a p-value of .377, which allo us to reject the claim of equal means at delayed flights by AirTran Airways and Southwest ber of delayed minutes between the two airlines. e there is unequal variance in the two samples. rlines is over 2 minutes. has a p value of greater than .01, m of equal means at the 1% level of has a p-value of .377, which allows Current Proposed 76 74 76 75 77 77 74 78 76 74 74 80 74 73 77 73 72 78 78 76 73 76 78 74 75 77 80 69 79 76 72 75 69 72 79 75 72 72 70 76 70 72 81 77 76 73 78 77 72 69 82 77 72 75 73 76 71 74 70 77 77 75 78 78 73 72 79 77 82 78 65 78 77 76 79 75 73 76 76 76 Q3 Based on the "Times" data, is the proposed method of production lowe than the current? Use alpha = 0.05 (i.e., 95% confidence Select one: a. Yes, the F statistic is greater than the F critical for a one tail test at th 95% confidence level. b. Yes, because the current variance is 2.5 times the variance of the proposed method. c. No, because the p value is very small. d. No, because the f critical is below 2. 81 69 75 75 77 79 76 78 76 76 73 77 84 74 74 69 79 66 70 74 72 75 76 80 77 76 75 73 77 77 77 79 75 75 72 82 76 76 74 72 78 71 d method of production lower variance = 0.05 (i.e., 95% confidence level) critical for a one tail test at the times the variance of the Company Price Change ($) Aflac 0.81 Bank of Am. -0.05 Cablevision 0.41 Diageo 1.32 Fluor Cp 2.37 Goodrich 0.3 John.&John. 1.46 Loews Cp 0.92 Nokia 0.21 SmpraEngy 0.97 Sunoco 0.52 Tyson Food 0.12 Q4 For the Price Change data, please provide a 95% confidence variance. Select one: a. 0.10 to 2.1 b. 0.47 plus or minus 0.23 c. 0.30 to 1.50 d. 0.24 to 1.37 provide a 95% confidence interval on the Respondent Hours Spent on Social Media 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 3.6 2.14 3.55 4.06 2.17 4.37 2.96 1.47 0.51 2.27 4.19 3.74 2.27 2.59 3.27 2.85 3.81 2.79 0.5 3.19 1.09 3.42 4.23 1.58 2.83 -0.26 4.79 1.83 3.96 4.58 -0.05 3.9 1.9 1.79 2.89 2.3 3.89 3.19 1.5 3.17 0.35 Q5 For the Social Media data, please provide a 90% confidence Standard deviation. Select one: a. 0.97 to 1.27 b. 0.93 to 1.61 c. 1.06 to 1.39 d. 1.12 to 1.92 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 3.67 1.73 2.06 1.2 1.37 1.71 1.07 3.28 1.65 0.8 4.31 3.1 3.04 0.6 3.39 2.96 1.76 1.21 0.85 2.42 2.9 3.15 2.26 0.92 1.15 1.29 0.94 2.15 2.62 1.67 2.66 2.26 2.81 3.69 e provide a 90% confidence interval on the A Actual Grades Expected B 20 20 C 10 20 D 35 20 F 15 20 Q6 20 20 I am supposed to give an equal number of grades to each letter value. Based on the sample data in the Grades tab, can we reject the claim that my grades are equally distributed? Use alpha = 0.05 (i.e., 95% confidence level) Select one: a. Yes, the chi value of 17.5 is greater than chi critical of 9.5. b. No, the chi value of 17.5 is greater than chi critical of 9.5. c. Yes, the p value is high enough to reject that claim. d. No, the sample is too small and there are not enough different grade F Actual Observed Frequencies Response England France Italy Strongly Favor 141 161 298 Favor more than oppose 348 366 309 Oppose more than favor 381 334 219 Strongly oppose 217 215 219 1087 1076 1045 E Expected Frequencies Response England France Italy Strongly Favor Favor more than oppose Oppose more than favor Strongly oppose Error^2/e: Response England France Italy Strongly Favor Favor more than oppose Oppose more than favor Strongly oppose Spain Germany 133 128 222 272 311 322 443 389 1109 1111 US 204 326 316 174 1020 Spain Germany US Spain Germany US 1065 1843 1883 1657 6448 Q7 From the nuclear tab, please assess whether preference for nuclear power is independent of country of origin at the 95% confidence level. Select one: a. The chi square statistics is far greater than chi critical - we can reject the hypothesis that nuclear power preference is independent of country. b. The sample is too small to reject the null hypothesis. c. The chi square statistic is greater than chi critical, so we cannot reject the null. d. We can reject the null because the F statistic is greater than F critical. ar power is t reject the null. Item Caltrate +D (600mg/60 tablets) Centrum (130 tablets) Cod liver oil (100 gel tablets) Fish oil (1,000 mg, 60 tablets) Flintstones Children's (60 tablets) Folic acid (400 mcg/250 tablets) One-a-Day Maximum (100 tablets) One-a-Day Scooby (50 tablets) Poly-Vi-Sol (drops, 50 ml.) Vitamin B-12 (100 mcg/100tablets) Vitamin C (500 mg/100tablets) Vitamin E (200 IU/100tablets) Zinc (50 mg/100 tablets) CVS Kmart Rite-Aid Wegmans 8.49 5.99 7.99 5.99 9.49 9.47 9.89 7.97 2.66 2.59 1.99 2.69 6.19 4.99 4.99 5.99 7.69 5.99 5.99 6.29 2.19 2.49 3.74 2.69 8.99 7.49 6.99 6.99 7.49 5.99 6.49 5.47 9.99 8.49 9.99 8.37 3.59 1.99 1.99 1.79 2.99 2.49 1.99 2.39 4.69 3.49 2.99 3.29 2.66 2.59 3.99 2.79 Q8 Is there a difference in the mean price for vitamins at the retail outlets provided in the "Vitamins" tab? Use alpha = .05. a. Yes, the average ranges from $4.92 to $5.93 -- the range of means is very spread out. b. Yes, the sum of squared errors between stores is two times that within group enough to reject the claim the means are equal. c. No, the F value is far less than F critical, thus we cannot reject the claim that the means are equal. d. No, the t-value comparing the difference of means is insufficiently different to reject the claim of equal means. Q9 What do all the tests in this section have in common? Select one: a. They all create a test statistic to be evaluated against a critical value to determine statistical significance. b. They all determine a probability that a statistically significant difference exists in the population based on a sample. c. Each relies on a specific distribution that random variables follow over which a test is conducted. d. If a calculated statistic lies outside of the expected range, one can conclude that there is a difference in the population. e. All of the above are true. Q10 Which of the following is true? Select one: a. All statistical tests are two-tail tests. b. The only sample statistic that can be tested is the sample mean. c. The analysis of variance tests the differences of different variances. d. Tests of variance and deviation from expectation are one-tail tests. e. All of the above are true. There is no dataset for these two questions