Use the data in the following table, which lists drive-thru order accuracy at popular fast tood chalns. Drive-thru Restaurant o A B D Order Accurate Order Not Accurate 335 277 235 138 34 52 38 15 If two orders are selected, find the probability that they are both accurate. Complete parts (a) and (b) below a. Assume that the selections are made with replacement. Are the events independent? The probability is 0.7679. The events are not independent (Do not round until the final answer. Round to four decimal places as needed.)

Use the data in the following table, which lists drive-thru order accuracy at popular fast tood chalns. Drive-thru Restaurant o A B D Order Accurate Order Not Accurate 335 277 235 138 34 52 38 15 If two orders are selected, find the probability that they are both accurate. Complete parts (a) and (b) below a. Assume that the selections are made with replacement. Are the events independent? The probability is 0.7679. The events are not independent (Do not round until the final answer. Round to four decimal places as needed.)

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter10: Sequences, Series, And Probability

Section10.8: Probability

Problem 32E

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8. Use the data in the following table, which lists drive-thru order accuracy at popular fast food chains. Assume that orders are randomly selected from those included in the table. Drive-thru Restaurant A B C D Order Accurate 317 274 236 136 Order Not Accurate 36 55 35 14 If one order is selected, find the probability of getting food that is not from Restaurant A. The probability of getting food that is not from Restaurant A is ---- (Round to three decimal places as needed.)
Miller (2008) examined the energy drink consumption of college undergraduates and found that female useenergy drinks significantly less often than males. To further investigate this phenomenon, suppose that a researcher selects a random sample of n = 36 male undergraduates and a sample of n = 25 females. On average, the males reported consuming M = 2.45 drinks per month and females had an average of M = 1.28. Assume that the overall level of consumption for college undergraduates averages mean = 1.85 energy drinks per month, and that the distribution of monthly consumption scores is approximately normal with a standard deviation is = 1.2. Use alpha =.01
hypothesizes that people with a shorter commute time will have higher degrees of job satisfaction. Randomly sampling 600 commuters, t finds the following data listed in frequencies: Job Satisfaction Number Who Commute 20 Minutes or Less Number Who Commute 21 to 40 Minutes Number Who Commute 41 Minutes or More Total Number for Each Level of Job Satisfaction Dissatisfied 10 60 140 210 Neutral 45 59 51 155 Satisfied 145 60 30 235 Total Number for Each Commute Time Range 200 179 221 600 These's a chi-square of 202.5 with four degrees of freedom. 1. What's the IV, DV, UA, and direction of the relationship 2. . How the IV percent distribution changes in relation to the DV 3. what level of significance to use, and how the chi-square statistic obtained from the sample compares to its critical value
Miller (2008) examined the energy drink consumption of college undergraduates and found that males use energy drinks significantly more often than females. To further investigate this phenomenon, suppose that a researcher selects a random sample of n=36 male undergraduates and s ample of n=25 females. On average, the males reported consuming M=2.45 drinks per month and females had an average of M=1.28. Assume that the overall level of consumption for college undergraduates averages μ=1.85 energy drinks per month, that that the distribution of monthly consumption scores is approximately normal with a standard deviation of σ=1.2. Did this sample of males consume significantly more energy drinks than the overall population average? Use a one-tailed test with α =0.01. Did this sample of females consume significantly fewer energy drinks than the overall population average? Use a one-tailed test with α =0.01.