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- Recent surveys of college students suggest that 40% are liberal, 40% are middle-of-the-road (MOTR), and 20% are conservative. How would you assign digits for a simulation to determine the political affiliation (liberal, middle-of-the-road, or conservative) of a college student chosen at random from the population of all college students? Select the correct assignments. Assign 1, 2 to liberal, 3, 4 to MOTR, and 5 to conservative. Assign 1, 2, 3, 4 to liberal, 5, 6, 7, 8 to MOTR, and 9, 0 to conservative. Assign 1, 2, 3, 4 to liberal, 1, 2, 3, 4 to MOTP, and 1, 2 to conservative. Assign I to liberal, 2 to MOTR, and 3 to conservative. Assign 0, 3, 5, 7 to liberal, 1, 4, 8, 9 to MOTR. and 2, 6 to conservative.You have two groups of researchers getting data on a new drug for Alzheimer’s patients with working memory loss. Both researchers give the same memory task performed using the Wisconsin Card Sorting Task and count the number of correct answers from 15 patients each.The results of Researcher A are: 60, 62, 70, 55, 78, 53, 78, 53, 70, 66, 62, 79, 51, 65, 69The results of Researcher B are: 68, 75, 71, 65, 58, 74, 68, 72, 60, 59, 72, 65, 70, 72, 69Which set of scores has a lower SEM? You should be able to do this just by looking at the raw scores, but of course you can do the math if it helps you answer the question.Pavan
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- Select the correct sentence in the passage. Which sentence best supports the idea that artificial and human translators are comparable? A Computer Can Now Translate Languages as Well as a Human by Vanessa Bates Ramirez (excerpt) In other words, it’s finally happened: computers are smarter than people. In a contest that tested the new software against human translators, it came close to matching the fluency of humans for some languages. People fluent in two languages scored the new system between 64 and 87 percent better than the previous one. Google is already using the new system for Chinese to English translation and plans to completely replace its existing translation technique with the GMNT.What is B0,B1, B2,B3Q3 i): A survey of 500 randomly chosenindividualsis conducted. The individuals are askedto nametheir faxorite sport. The STATISTIX pie chart inthe following figure summarizesthe results of this survey Other (5.0%)- Hockey (10.0%)- -Baseball (30.0%) Golf (10.0%)- Footbal (25.0%)- -Basketbal (20.0%) Fig. 2-11 STATISTIX pie chart La) How many individuals inthe 500 gave baseball astheirfavorite sport? (b) How mary gave a sport other than basketball as their favorite sport? L) How many gave hockey or golf astheir favorite sport? ii) Thefollowing table gives the frequency distribution for the cholesterol values of 45 patients ina cardiacrehabilitation study. Givethe IgweLandupper class limits and boundaries as well asthe class marks for each class Chalastarol vala Fraquancy 170 to 189 190 to 209 10 210 to 229 17 230 to 249 13 250 to 269
- A manufacturing plant makes computer chips 24 hours a day. Employees work one of three, 8 hour shifts during the morning (2am-10am), day (10am-6pm), and night (6pm-2am). Below are data on the number of defective chips on a randomly chosen 24 hour period. Shift Morning Day Night Number of Defective Chips 23 26 47 Total Chips Manufactured 330 330 330 The plant manager thinks there might be more defective computer chips manufactured during the night shift compared to the day shift. Give appropriate statistical evidence to test the managers' claim.Pretend you have the following data for 16 subjects in a study designed to determine whether strong coffee speeds neural processing, in this case defined as reaction time in a simple memory task, with lower numbers reflecting faster processing. The 16 subjects were randomly assigned to two groups: placebo control group vs. coffee experimental group. Here are the results, followed by guidance for the VassarStats program: Placebo Coffee 28 26 23 18 20 15 28 24 29 24 33 19 34 13 http://vassarstats.net/ #1. What is the null hypothesis for this study? #2. a. State the mean for each group: Placebo mean = ?? Coffee mean = ?? b. What is the mean difference? #3. a. What was the level of significance (two-tailed p value)? b. What, then, is the probability that “chance” explained this mean difference given that p value? #4. a. What is your decision regarding the null hypothesis…Please answer the second part (iv) (v) (vi) (vii)