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- Finding mass transit fares The Municipal Transit Authority serves 150,000 commuters daily when the fare is 1.80. Market research has determined that every penny decrease in the fare will result in 1000 new riders. What fare will maximize revenue?I can relate Professor Jody Gittell analyzed workers inthe health care system. Specifically, she was interested tosee if relational coordination (communicating and relatingfor the purpose of task integration) makes a worker more resilient in response to external threats that require a coor-dinated response across multiple roles in the organization. She rated whether physicians and nurses were selected for teamwork qualities, on a scale of 0 to 2. Do these summa-ries show evidence that teamwork qualities are valued dif-ferently in doctors than in nurses? Assume the conditions for inference have been met. (Journal of Applied Behav-ioral Science, March 2008) Position Mean sd nPhysicians 0.44 0.88 9Nurses 1.44 0.73 9Recruiting In September 2002, CNN reported on amethod of grad student recruiting by the Haas School ofBusiness at U.C.-Berkeley. The school notifies applicantsby formal letter that they have been admitted, and alsoe-mails the accepted students a link to a Web site thatgreets them with personalized balloons, cheering, andapplause. The director of admissions says this extra effortat recruiting has really worked well. The school accepts500 applicants each year, and the percentage that actuallychoose to enroll at Berkeley increased from 52% the yearbefore the Web greeting to 54% this year.a) Create a 95% confidence interval for the change inenrollment rates.b) Based on your confidence interval, are you convincedthat this new form of recruiting has been effective?Explain.
- Gender difference in basketball shooting ability being due to the size of the ball is a case of: a interaction effect of experimental treatment. b interaction effect of testing. c reactive effects of experimental setting. d multiple-treatment interference.HYPOTHESIS TESTING:7. The school director of SSC-R wants to determine if the gate point average (GPA)of accountancy college students decreases during the last semester of theirjunior year. A sample of 10 students selected. Their GPAs for the first and secondsemesters of their junior years are:Diet Thirteen overweight women volunteered for a study todetermine whether eating specially prepared crackers beforea meal could help them lose weight. The subjects wererandomly assigned to eat crackers with different types offiber (bran fiber, gum fiber, both, and a control cracker). Unfortunately, some of the women developed uncomfort-able bloating and upset stomachs. Researchers suspectedthat some of the crackers might be at fault. The contingencytable of “Cracker” versus “Bloat” shows the relationshipbetween the four different types of crackers and the reportedbloating. The study was paid for by the manufacturers of thegum fiber. What would you recommend to them about theprospects for marketing their new diet cracker? BloatLittle/None Moderate/Severe CrackerBran 11 2Gum 4 9Combo 7 6Control 8 4
- Reading An educator believes that new reading activitiesfor elementary school children will improve reading comprehension scores. She randomly assigns third grad-ers to an eight-week program in which some will use these activities and others will experience traditionalteaching methods. At the end of the experiment, bothgroups take a reading comprehension exam. Their scoresare shown in the back-to-back stem-and-leaf display. Dothese results suggest that the new activities are better?Test an appropriate hypothesis and state your conclusion.Rain Simpson, Alsen, and Eden (Technometrics 1975)report the results of trials in which clouds were seededand the amount of rainfall recorded. The authors reporton 26 seeded and 26 unseeded clouds in order of the amount of rainfall, largest amount first. Here are two pos-sible tests to study the question of whether cloud seeding works. Which test is appropriate for these data? Explainyour choice. Using the test you select, state yourconclusion.Paired t-Test of m11 - 22Mean of Paired Differences = -277.39615t-Statistic = -3.641 w>25 df p = 0.00122-Sample t-Test of m1 - m2Difference Between Means = -277.4t-Statistic = -1.998 w>33 df p = 0.0538a) Which of these tests is appropriate for these data?Explain.b) Using the test you selected, state your conclusion.Answer choices for second box: Conclude that there is not statistical evidence taht the production line is not operating properly. Allow the production process to continue Conclude that there is not statistical evidence that the production line is not operating properly. Do not allow the production process to continue Conclude that there is statistical evidence that the production line is not operating properly. Allow the production process to continue Conclude that there is statistical evidence that the production line is not operating properly. Do not allow the production process to continue Answer choices for third box: Conclude that there is statistical evidence that overfilling or underfilling exists. Do not shut down and adjust the production line Conclude that there is not statistical evidence that overfilling or underfilling exists. Shut down and adjust the production line Conclude that there is statistical evidence that overfilling or underfilling exists. Shut down and…
- Association Suppose you were to collect data for eachpair of variables. You want to make a scatterplot. Whichvariable would you use as the explanatory variable andwhich as the response variable? Why? What would you expect to see in the scatterplot? Discuss the likely direc-tion, form, and strength. a) Cell phone data plans: file size, costb) Lightning strikes: distance from lightning, time delayof the thunderc) A streetlight: its apparent brightness, your distancefrom itd) Cars: weight of car, age of ownerHYPOTHESIS TESTING The data shows the values of hydrophilicity of untreated sample, and solvent B-treated sample. If hydrophilicity of sample should be less than or equal to 50, is the solvent B – treatment effective? Assume level of significance α = 0.05.a repeated measures research study demonstrating that swearing can help reduce ratings of pain (Stephens, Atkins, & Kingston, 2009). In the study, each participant was asked to plunge a hand into icy water and keep it there as long as the pain would allow. In one condition, the participants repeated their favorite curse words while their hands were in the water. In the other condition, the participants repeated a neutral word. In addition to lowering the participants’ perception of pain, swearing also increased the amount of time that they were able to tolerate the pain. Data similar to the results obtained in the study are shown in the following table. Do these data indicate a significant difference in pain tolerance between the two conditions? Use a two tailed test with = .05. Compute r², the percentage of variance accounted for, to measure the size of the treatment effect. Participant 1 2 3 4 5 6 7 8 9 10 Swear Words 94 70 52 83 46 117 69 39 51 73 Neutral Words 59 61 47 60…