Wasp Hierarchical Status. In an issue of Discover (Vol. 26, No. 2, pp. 10–11), J. Netting described the research of E. Tibbetts of the University of Arizona in the article, “The Kind of Face Only a Wasp Could Trust.” Tibbetts found that wasps signal their strength and status with the number of black splotches on their yellow faces, with more splotches denoting higher status. Tibbetts decided to see if she could cheat the system. She painted some of the insects’ faces to make their status appear higher or lower than it really was. She then placed the painted wasps with a group of female wasps to see if painting the faces altered their hierarchical status. Was this investigation an observational study or a designed experiment? Justify your answer.
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- I need help with number 5 only please!arrow_forwardA drug trial had 161 participants. A survey was done to gather information about the participants' experiences with side effects. The table below gives the results for two possible side effects. Number of participants Had drowsiness 84 Had nausea 67 Had both drowsiness and nausea 39 Construct a Venn diagram illustrating these results. Then answer the questions.arrow_forwardIn a study, the effects of the mane of a male lion as a signal of quality to mates and rivals was explored. Four life-sized dummies of male lions provided a tool for testing female response to the unfamiliar lions whose manes varied by length (long or short) and color (blonde or dark). The female lions were observed to see whether they approached each of the four life-sized dummies. Complete parts (a) through (e) below. a. Identify the experimental units. Choose the correct answer below. The female lions The male dummies The mane colors The mane lengths Part 2 b. Identify the response variable. Choose the correct answer below. A. Whether or not (yes or no) the mane length affected how the female lions reacted to a male dummy. B. Whether or not (yes or no) the female lions approached the same dummies. C. Whether or not (yes or no) the female lions approached a male dummy. D. Whether or not…arrow_forward
- The data comes from the paper "Sex Bias in Graduate Admissions: Data from Berkeley" by Bickel, Hammel, and O'Connell. The data in the file genderbiasberkeley.csv contains the following columns. department-the department letter code (letters A through F) gender-the gender of the student applying to the school, where 1 = male and 2 = female admitted-an indicator showing whether the student was accepted or denied to the program, where 1 = admitted and 2 = denied count-the number of students admitted or denied O Tech Guide You will need to use the TI Tech Guide. A Lab Questions Describe the structure of the data. Is it different than data you have examined before? Specifically, there are 24 rows in this data set, but the set provides information about 4,526 observations (the sum of the "count" column). Describe what each row represents. Each of the six departments (A-F) have four rows of data in this set corresponding to each of the following. 1st row ---Select--- who were Select--- V. 2nd…arrow_forwardOf interest is to determine if the employer of the meteorologist is associated with how well they track the storm. A random sample of 10 meteorologists employed by the U.S. National Weather Service was selected; a random sample of 10 meteorologists employed by a local television station within the United States was selected; and a random sample of 10 meteorologists employed in a country other than the United States was selected. Each was asked to predict the path of a named storm, and a score between 0 and 25 was assigned for each prediction. Of interest is to compare the mean score for the three groups of meteorologists. As described, is this an example of a controlled experiment or an observational study? Observational Study O Experimentarrow_forwardTo determine if there is gender and/or race discrimination in car buying, lan Ayres put together a team of fifteen white males, five white females, four black males, and seven black females who were each asked to obtain an initial offer price from the dealer on a certain model car. The 31 individuals were made to appear as similar as possible to account for other variables that may play a role in the offer price of a car. The following data are based on the results in the article and represent the profit on the initial price offered by the dealer. Ayres wanted to determine if the profit based on the initial offer differed among the four groups. Source: Ian Ayres. “Fair Driving: Gender and Race Discrimination in Retail Car Negotiations." Harvard Law Review. Vol. 104, No. 4, Feb. 1991. White Male Black Male White Female Black Female 1300 853 1241 951 1899 646 727 1824 954 2053 951 559 1616 754 1943 794 429 1537 706 2168 661 1181 596 2325 824 853 1982 1038 877 1780 754arrow_forward
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- Doctors at a technology research facility randomly assigned people to use computer keyboards in two rooms. In one room a group of people typed a manuscript using standard keyboards, while in the other room a second group of people typed the same manuscript using ergonomic keyboards to see if those people could type more words per minute. The table shows the resulting data. Standard Ergonomic Words per Words per minute minute 12 43 38 35 21 35 28 69 18 58 45 52 40 36 42 37 52 38 19 47 24 46 63 58arrow_forwardThe operations manager of a company that manufactures car mufflers wants to determine whether there are any differences in the quality of workmanship among the three daily shifts. The manager randomly selects 500 car mufflers and carefully inspects them. Each muffler is either classified as perfect, satisfactory, or defective, and the shift that produced it is also recorded. The two categorical variables of interest are: shift and condition of the muffler produced. The data can be summarized by the two-way cross tabulation table. DO these data provide sufficient evidence at the 5% Significance level to infer that there are differences in quality among the three shifts? Satisfactory Defective Total Shift 1 116 112 230 Shift 2 65 148 Shift 3 27 78 107 Total 208 269arrow_forwardA study by a reputable research group captured multitasking activities of adults who use different devices while watching TV. The study reported that 320 of 442 (72%) smartphone users sampled, 192 of 350 (55%)computer users sampled, and 139 of 260 (53%) tablet users sampled used their device to check social media unrelated to the video content while watching TV. Complete parts (a) through (c) below. a. Is there evidence of a significant difference among the smartphone, computer, and tablet users with respect to the proportion who use their device to check social media unrelated to the video content while watching TV? (Use α=0.10.) The test statistic is χ2STAT= Find X2STAT Please show me the process of how you find this.arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill