A newspaper story headline reads "Gender Plays Part in Monkeys' Toy Choices, Research Finds—Like Humans, Male Monkeys Choose Balls and Cars, While Females Prefer Dolls and Pots."† The article goes on to summarize findings published in the paper "Sex Differences in Response to Children's Toys in Nonhuman Primates."† Forty-four male monkeys and 44 female monkeys were each given a variety of toys, and the time spent playing with each toy was recorded. The table gives
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- Historians are interested in the accuracy of eyewitness accounts of traumatic events. One study examined survivors' recall of the sinking of the ship Titanic (Riniolo, Koledin,Draku;ic & Payne, 2003). The researchers reviewed the transcripts of survivors testimony at governmental hearings (www.titanicinquiry.org), to see whether they testified that the ship was intact or breaking apart during the ships final plunge (it was in fact breaking apart). To test for eyewitness accuracy, testimony of 20 survivors was examined to see if there was an equal likelihood of survivors saying the ship was intact or breaking apart. Proposed analysis and why you chose the analysis Scales of measurement (i.e., nominal, ordinal, interval, ratio) for variable(s) that will be used in analysis Null and alternative hypotheses (based on context of study) in symbolsarrow_forward2. We want to investigate whether there exists gender bias on traffic stops by the police here in Charlotte. The Charlotte Open Data Portal includes information on different characteristics of drivers being stopped. We collected the data from 2017 and we are interested in answering the question: "Of all the drivers who are stopped, are female drivers less likely to get searched than male drivers? From the data collected we observed that 438 out of the 24,314 female drivers were searched, whercas 2,244 out of 34,095 male drivers were scarchcd. (a) that the proportion of female drivers being searched is smaller than the proportion of male drivers being searched? Is there sufficient evidence at the 0.05 significance level to conclude Construct the appropriate confidence interval for the hypothesis (b) test of part (a) and state your conclusion.arrow_forwardA TA in statistics thinks that the format of the conferences and the timing of the assignments may affect students' assignment marks (out of 10). He decided to design three conferences with a different format: (1) with lecturing, (2) with demonstrating problems, and (3) with involving students in active problem-solving. Twelve students attended one of the conferences (four in each format) and asked to submit their assignments at week 3. Another twelve students attended one of the conferences but asked to submit their assignments at week 5. The data are tabled below: Assignment Week 3 Week 5 Lecture 6,7,5,7 5,5,4,5 Format Demo problems 7,8,8,9 6,7,7,6 Active problems 9,10,10,10 8,9,9,10 Note: ΣΣΣx=1385 Perform the ANOVA test and table the results, stating all critical values. State and explain what should be the follow-up analysis after the overall F-test if any (NO calculation but just explain).arrow_forward
- A warehouse manager wants to know if there is an association between the shift worked and being on time for work. To investigate, he selects a random sample of 70 workers and classifies each one according to the shift they worked most recently and whether they were on time for work. He was unable to classify a substantial number of people as being on time, so he classified those individuals as unknown. The data are displayed in the table. The manager would like to know if these data provide convincing evidence of an association between the shift worked and being on time in the large population of all workers at this warehouse. The random and 10% conditions are met. Is the Large Counts condition met? Yes, the smallest expected count is 5, so all expected counts are at least 5. Yes, the smallest expected count is 8.54, so all expected counts are at least 5. No, the smallest expected count is 2.56, so the expected counts are not all at least 5. No, the smallest expected count is…arrow_forwardTo study the effectiveness of possible treatments for insomnia, a sleep researcher conducted a study in which four participants were instructed to count sheep (the Sheep Condition), four were told to concentrate on their breathing (the Breathing Condition), and four were not given any special instructions. The average number of minutes taken for each participant to fall asleep over the next seven days were 14, 28, 27, and 31 minutes for the Sheep condition; 25, 22, 17, and 14 minutes for those in the Breathing condition; and 45, 33, 30, and 41 for the Control condition. Using the .05 significance level, did the different techniques have different effects? Restate the question as a research hypothesis and a null hypothesis about the populations.arrow_forwardOne-way ANOVA Loftus and Palmer (1974) demonstrated how the phrasing of questions regarding a perceived event could influence witnesses' memories of the event. In other words, memory is malleable depending on what and how we are asked to recall or describe a past event. In a replication of this classic study, an investigator showed a film of two cars crashing into each other to a group of participants. Later, some participants were asked: "How fast were the cars going when they smashed into each other?" A second group was asked: "How fast were the cars going when they bumped into each other?" A third group was asked: "How fast were the cars going when they contacted each other?" Participants in each condition estimated (in miles per hour) the speed at which the vehicle was traveling. The results are presented in the table below. Verb Group 1 "Smashed" 32 28 26 27 Group 2 "Bumped" 20 22286 24 18 Group 3 "Contacted" 24810arrow_forward
- Section 11.2 Question #4 The table below includes results from polygraph (lie detector) experiments conducted by researchers. In each case, it was known if the subjected lied or did not lie, so the table indicates when the polygraph test was correct. Use a 0.05 significance level to test the claim that whether a subject lies is independent of the polygraph test indication. Do the results suggest that polygraphs are effective in distinguishing between truth and lies? View the table Did the Subject Actually Lie? No (Did Not Lie) Yes (Lied) Polygraph test indicated that the subject lied. 9 48 Polygraph test indicated that the subject did not lie. 30 12 Determine the test statistic. χ2= _________ (Round to three decimal places as needed.) Determine the P-value of the test statistic. P-value= ___________ (Round to four decimal places as needed.)arrow_forwardResearchers studied the behavior of birds that were searching for seeds and insects in an Oregon forest. In this forest, 54% of the trees were Douglas firs, 40% were ponderosa pines, and 6% were other types of trees. At a randomly selected time during the day, the researchers observed 156 red-breasted nuthatches: 70 were in Douglas firs, 79 in ponderosa pines, and 7 in other types of trees. Do these data provide convincing evidence that nuthatches prefer particular types of trees when they’re searching for seeds and insects?arrow_forwardA study was conducted to determine whether big-city and small-town dwellers differed in their helpfulness to strangers. In this study, the investigators rang the doorbells of strangers living in a large City or small towns in the vicinity. They explained they had misplaced the address of a friend living in the neighbourhood and asked to use the phone. The following data show the number of individuals who admitted or did not admit the strangers (the investigators) into their homes: Helpfulness to strangers Admitted strangers into their home Didnot admit strangers into their home Big city dwellers 60 90 Small town dwellers 70 30 State the dependent and independent variable Is this a directional or non directionalarrow_forward
- Table of Critical t-Values 12345678910 112151671912092980 Degrees of Freedom 0.25 13 14 23 24 32 33 2 t-Distribution Area in Right Tail 0.20 0.15 0.05 0.025 0.02 1.000 1.376 1.963 3.078 6.314 12.706 15.894 0.816 1.061 1.386 1.886 2.920 4.303 4.849 0.765 0.978 1.250 1.638 2.353 3.182 3.482 0.741 0.941 1.190 1.533 2.132 2.776 2.999 0.727 0.920 1.156 1.476 2.015 2.571 2.757 0.718 0.906 1.134 1.440 1.943 2.447 2.612 3.143 3.707 0.711 0.896 1.119 1.415 1.895 2.365 2.517 2.998 3.499 0.706 0.889 1.108 1.397 1.860 2.306 2.449 2.896 3.355 0.703 0.883 1.100 1.383 1.833 2.398 2.821 1.093 1.372 2.262 3.250 1.812 2.228 2.359 3.169 0.700. 0.879 0.876 2.764 2.328 2.718 0.697 1.796 2.201 0.695 0.873 2.179 2.303 2.681 0.694 0.870 1.088 1.363 1.083 1.356 1.782 1.079 1.350 1.771 2.160 2.282 2.650 1.076 1.345 1.761 2.145 2.264 2.624 1.074 1.753 1.337 1.746 1.333 1.740 2.110 1.330 1.734 2.101 1.328 1.729 1.341 2.131 2.249 1.067 1.066 1.064 1.325 1.725 2.567 2.898 2.552 2.878 2.539 2.861 2.528 2.845 2.093…arrow_forwardOne-way ANOVA Loftus and Palmer (1974) demonstrated how the phrasing of questions regarding a perceived event could influence witnesses' memories of the event. In other words, memory is malleable depending on what and how we are asked to recall or describe a past event. In a replication of this classic study, an investigator showed a film of two cars crashing into each other to a group of participants. Later, some participants were asked: "How fast were the cars going when they smashed into each other?" A second group was asked: "How fast were the cars going when they bumped into each other?" A third group was asked: "How fast were the cars going when they contacted each other?" Participants in each condition estimated (in miles per hour) the speed at which the vehicle was traveling. The results are presented in the table below. Verb Group 1 "Smashed" 32 28 26 27 Group 2 "Bumped" 20 24 22 18 Group 3 "Contacted" 12 14 18 10 2. Did the phrasing of questions about the event affect the…arrow_forwardWhy is it important to ensure that research participants' names and other identifying information are not included in the notes and other researcher data? Select one. O Only certain studies need to keep participant information confidential. O Anonymity protects the research participant from being discriminated against in the event another agency/entity has access to the raw data. O It is not necessary for respondents to remain anonymous in research. O In double blind studies, the participant does not need to remain anonymous.arrow_forward
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