Do lure colors influence Pacific halibut's desire to take the bait? To find out, researchers selected 750 Pacific halibut from a fish farm in California. Half of the fish were randomly assigned toa sparkly, brightly colored fishing lure, while the other half were assigned to one with a neutral tone and no sparkle. On average, the halibut were more attracted to the sparkly, bright colors.Which of the following is the largest population to which the results of this survey should be generalized?

The conclusion can be applied to the population of halibut at the fish farm.

Answered: Do lure colors influence Pacific…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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AP2.23 There are four major blood types in humans: O, A, B, and AB. In a study conducted using blood specimens from the Blood Bank of Hawaii, indi- viduals were classified according to blood type and ethnic group. The ethnic groups were Hawaiian, Hawaiian-White, Hawaiian-Chinese, and White. Suppose that a blood bank specimen is selected at random. Ethnic Group Blood Hawaiian- Hawaiian- type Hawaiians White Chinese White Total 1903 4469 2206 53,759 62,337 A 2490 4671 2368 50,008 59,537 В 178 606 568 16,252 17,604 АВ 99 236 243 5001 5579 Total 4670 9982 5385 125,020 145,057 (a) Find the probability that the specimen contains type O blood or comes from the Hawaiian-Chinese ethnic group. Show your work. (b) What is the probability that the specimen contains type AB blood, given that it comes from the Hawai- ian ethnic group? Show your work. (c) Are the events "type B blood" and "Hawaiian ethnic group" independent? Give appropriate statistical evidence to support your answer. (d) Now…
Suppose a researcher is interested determining whether on average, driving times on the major traffic routes are approximately the same. The following data are randomly collected from three major traffic routes.The entries in the table are drivings times in minutes on the these routes. Route 1 Route 2 Route 3 45 39 41 42 40 40 46 39 41 43 40 42 43 39 43 43 39 43 43 41 40 43 38 40 48 41 41 45 39 43 39 40 39 40 46 43 40 41 40 42 40 40 46 46 41 A One-Way ANOVA test was conducted at a 0.02 level of significance. The results are shown below. Note that some values in the table might be in scientific notation. Say, 1.65E-07 means 1.65x10-7 or 0.000000165.ANOVA: Single Factor SUMMARY Groups Count Sum Average Variance Route 1 10 441 44.100 3.433333 Route 2 15 599 39.933 3.495238 Route 3 20 833 41.650 3.502632 ANOVA Source of Variation SS df MS F P-value F crit Between Groups 104.19444…
A researcher is investigating the physical characteristics that influence whether a person's face is judged as beautiful. The researcher selects a photograph of a woman and then creates two modifications of the photo by (1) moving the eyes slightly farther apart and (2) moving the eyes slightly closer together. The original photograph and the two modifications are then shown to a sample of n = 150 college students, and each student is asked to select the "most beautiful" of the three faces. The distribution of responses was as follows: Original Photo Eyes Moved Apart Eyes Moved Together 51 72 27 Do the data indicate any significant preferences among the three versions of the photograph? Test at the .05 Ievel of significance. Please show all work
Which scent station showed no significant preference by one insect type over the others? Rotten eggs Manure All scents Dead mouse Rotten peach
A manufacturing company that produces laminate for countertops is interested in studying the relationship between the number of hours of training that an employee receives and the number of defects per countertop produced. Ten employees are randomly selected. The number of hours of training each employee has received is recorded and the number of defects on the most recent countertop produced is determined. The results are as follows. Hours of Training Defects per Countertop 1 5 4 1 7 0 3 3 2 5 2 4 5 1 5 2 1 8 6 2 Copy Data The estimated regression line and the standard error are given. Defects per Countertop=6.717822−1.004950(Hours of Training)se=1.229787se=1.229787 Suppose a new employee has had 5 hours of training. What would be the 90% prediction interval for the number of defects per countertop? Round your answer to two decimal places.
T-Mobile Wi-Fi 1:13 PM 35% 3. 125 ports fans were interviewed and asked what types of sport they have been to in the la year from a choice of soccer (8), raghy (R) or baseball (B). The following informatioe was obtained 74 had been to soccer 36 had been to rugby 66 had been to baseball 20 had been to soccer and rugby 27 had been to soccer and baseball 24 had been to rugby and baseball 15 had been to all three types of sport (a) Draw a Venn diagram to show the above information (b) Find the mumber of sports fans who, in the last year, had been to (0 baseball only: (i) both rugby and beseball but not by soccer; () at least two types of sport; (iv) none of the three types of sport.
The majority of clothing retailers use mannequins to display their merchandise, with approximately one‑third displaying mannequins with heads and two‑thirds displaying mannequins without heads. Researchers recruited 126 female participants and assigned each to one of the two mannequin styles (head/headless). Participants were asked to imagine that they wanted to buy a new dress and told to go to a named store to make their purchase. They then viewed the dress displayed on a mannequin (head or headless) and were asked whether or not they would buy the dress. Of the 63 participants viewing the dress displayed on a mannequin with a head, 18 indicated that they would buy the dress, while only 10 of the 63 participants viewing the headless mannequin indicated that they would buy the dress. SOLVE : Are the conditions met to carry out the desired hypothesis test? One observed count of a success, namely the women who would buy a dress after seeing it on a headless mannequin, is ten,…
The University of Chicago's General Social Survey (GSS) is the nation's most important social science sample survey. For reasons known only to social scientists, the GSS regularly asks a random sample of people their astrological sign. Here are the counts of responses from a recent GSS of 4344 people: Sign Aries Taurus Count 321 360 Sign Libra Scorpio Count 392 329 Gemini 367 Sagittarius 331 Cancer 374 Capricorn 354 Leo 383 Aquarius 376 Virgo 402 Pisces 355 We want to test Ho: All 12 astrological signs are equally likely versus Ha: All 12 astrological signs are not equally likely. Use a chi-square goodness-of-fit test to compute a test statistic and P-value. Do these data provide convincing evidence at the 1% significance level that all 12 signs are not equally likely? Because the P-value of 0.6562 > 0.05, we cannot reject the null hypothesis. We cannot conclude that all 12 signs are not equally likely. Because the P-value of 0.0487 > 0.01, we cannot reject the null hypothesis. We…
At a school event, students were given the option of playing tennis or basketball. These data were recorded: • 22 students chose tennis. • 34 students chose basketball. . 10 students did not choose any sport. • Of the students who chose tennis or basketball, 16 chose both sports. Use the Venn diagram to answer the question. © 2020 StrongMind. Created using GeoGebra. How many students did not choose tennis? O 6 24 28 O 10 Tennis Basketball D
A study compares students who use a website and students who do not use the website. In addition to asking the students in the samples about GPA, each student was also asked how many hours he or she spent studying each day. The two samples (141 students who were users of the website and 68 students who were not users of the website) were independently selected from students at a large, public university. Although the samples were not selected at random, they were selected to be representative of the two populations. n USE SALT For the sample of users of the website, the mean number of hours studied per day was 1.46 hours and the standard deviation was 0.83 hours. For the sample of students who do not use the website, the mean was 2.77 hours and the standard deviation was 0.99 hours. Do these sample data provide convincing evidence that the mean time spent studying for users of the website at this university is less than the mean time spent studying by students at the university who do…
For a class project, a group of students were curious if there was a connection between color preferences and movie preferences (e.g., if people who liked brighter colors preferred uplifting/funny movies and people who liked darker colors liked dramas). Participants in the study were first asked them to select which color they most preferred, choosing between: red, blue, yellow, or green. Next, participants watched the movie Everything Everywhere All at Once and were asked to give it a rating between 0 and 100. Later, the students tested whether there was a difference in rating based on color preference. Which of the following analyses would BEST apply to this study?
Suppose a researcher is interested in examining the relationship between a person's gender and whether he or she likes the taste of Vegemite (a dark- brown food paste, made from yeast, that is popular in Australia). She collects a sample of n = 10 people and asks them whether they like the taste of Vegemite. The following table summarizes the results. Male Female Does Not Like the Taste of Vegemite 4 1 Likes the Taste of Vegemite 2 3 The researcher wants to calculate the correlation between a person's gender and whether he or she likes the taste of Vegemite. To do so, the researcher first creates a table of the data by converting each variable to a numerical value. She assigns 0 to "male" and 1 to "female." She then assigns 0 to "does not like the taste of Vegemite" and 1 to "likes the taste of Vegemite."

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