Introduction to Statistics and Data Analysis
5th Edition
ISBN: 9781305115347
Author: Roxy Peck; Chris Olsen; Jay L. Devore
Publisher: Brooks Cole
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Question
Chapter 12, Problem 41CR
a.
To determine
Check whether there is any evidence of an association between position and role at 0.01 significance level.
b.
To determine
Explain the assumptions about the manner in which the data were collected must be true for the chi-square test to be an appropriate way to analyze the data.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
The article "Cooperative Hunting in Lions: The Role of the individual" (Behavioral
Ecology and Sociology (1992): 445 454) discusses the different roles taken by lionesses as they
attack and capture prey. The authors were interested in the effect of the position in line as stalking
occurs; an individual lioness may be in the center of the line or on the wing (end of the line) as
they advance toward their prey. In addition to position, the role of the lioness was also considered.
A lioness could initiate a chase (be the first one to charge the prey), or she could participate and
join the chase after it has been initiated. Data from the article is summarized in the accompanying
table. Is there evidence of an association between position and role? Test the hypotheses using
a = 0.05.
Position Initiate Chase Participate in Chase
Center
Wing
28
Role
66
48
41
In 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…
D. In panel data, there are two key models, REM and FEM. Explain what the two
models are, stating their key assumptions, differences, advantages and
disadvantages.
Chapter 12 Solutions
Introduction to Statistics and Data Analysis
Ch. 12.1 - A particular cell phone case is available in a...Ch. 12.1 - From the given information in each case below, use...Ch. 12.1 - Prob. 3ECh. 12.1 - The article “In Bronx, Hitting Home Runs Is A...Ch. 12.1 - Prob. 5ECh. 12.1 - The paper Sociochemosensory and Emotional...Ch. 12.1 - Prob. 7ECh. 12.1 - Prob. 8ECh. 12.1 - The report “Fatality Facts 2004: Bicycles”...Ch. 12.1 - Prob. 10E
Ch. 12.1 - Prob. 11ECh. 12.1 - A certain genetic characteristic of a particulai...Ch. 12.1 - Prob. 13ECh. 12.2 - A particular state university system has six...Ch. 12.2 - A random sample of 1000 registered voters in a...Ch. 12.2 - Prob. 16ECh. 12.2 - Prob. 17ECh. 12.2 - Prob. 18ECh. 12.2 - Prob. 19ECh. 12.2 - Prob. 20ECh. 12.2 - Prob. 21ECh. 12.2 - Prob. 22ECh. 12.2 - Prob. 23ECh. 12.2 - Prob. 24ECh. 12.2 - Prob. 25ECh. 12.2 - Prob. 26ECh. 12.2 - Prob. 27ECh. 12.2 - Prob. 28ECh. 12.3 - Prob. 29ECh. 12.3 - Prob. 30ECh. 12.3 - Can people tell the difference between a female...Ch. 12.3 - The following passage is from the paper Gender...Ch. 12.3 - The article titled Nap Time...Ch. 12.3 - Using data from a national survey, the authors of...Ch. 12 - Each observation in a random sample of 100 bicycle...Ch. 12 - The color vision of birds plays a role in their...Ch. 12 - Prob. 37CRCh. 12 - Prob. 38CRCh. 12 - Prob. 39CRCh. 12 - Prob. 40CRCh. 12 - Prob. 41CRCh. 12 - Prob. 42CRCh. 12 - Prob. 43CRCh. 12 - Prob. 44CR
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- A researcher wants to see if gender and/or income affect the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affect the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables affected total help if he rejects the null hypothesis. Is there significance for either gender or income?arrow_forwardDefine A Competitive-Hunter Model ?arrow_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
- A 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.) Your answer is correct. The test statistic is χ2STAT=35.860 The critical value for α=0.10 Please help and explain how to achieve critical valuearrow_forwardWhat are the assumptions underlying the predator-prey model discussedin this section?arrow_forwardThe correlation coefficient, R, measures a) whether or not a scatterplot shows an interesting pattern. b) whether or not a cause-and-effect relation exists between two variables. c) the strength and direction of the linear relation between two variables.arrow_forward
- One group of new freshmen is given a study-skills training course during the first week of college and a second group does not receive the course. At the end of the semester, the grade point average is recorded for each student. For this study, what is the dependent variable? a) the grade point average for each student b) the group that received the training course c) receiving or not receiving the course d) the group that did not receive the coursearrow_forwardAn experiment was conducted to study the extrusion process of biodegradable packaging foam. Two of the factors considered for their effect on the foam diameter (mm) were the die temperature(145°C vs.155°C) and the die diameter (3 mm vs. 4 mm). The results are in the accompanying data table. The question are attached in a photoarrow_forwardA researcher wants to see if gender and / or income affects the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affects the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables affected total help if he rejects the null hypothesis. Below is the data set followed by the results:arrow_forward
- Many animals, including humans, tend to avoid directeye contact and even patterns that look like eyes.Some insects, including moths, have evolved eye-spotpatterns on their wings to help ward off predators.Scaife (1976) reports a study examining how eye-spotpatterns affect the behavior of birds. In the study, thebirds were tested in a box with two chambers andwere free to move from one chamber to another. Inone chamber, two large eye-spots were painted onone wall. The other chamber had plain walls. Theresearcher recorded the amount of time each birdspent in the plain chamber during a 60-minute session.Suppose the study produced a mean of M = 34.5 minutes on the plain chamber with SS = 210 for a sample of n = 15 birds. (Note: If the eye spots have no effect,then the birds should spend an average of μ = 30minutes in each chamber.)a. Is this sample sufficient to conclude that the eyespots have a significant influence on the birds’behavior? Use a two-tailed test with α = .05.b. Compute the…arrow_forwardA team of psychologists studied the concept of visualization in basketball, where players visualize making a basket before shooting the ball. They conducted an experiment in which 20 basketball players with similar abilities were randomly assigned to two groups. The 10 players in group 1 received visualization training, and the 10 players in group 2 did not. Each player stood 22 feet from the basket at the same location on the basketball court. Each player was then instructed to attempt to make the basket until two consecutive baskets were made. The players who received visualization training were instructed to use visualization techniques before attempting to make the basket. The total number of attempts, including the last two attempts, were recorded for each player. The total number of attempts for each of the 20 players are summarized in the following boxplots. (a) Based on the boxplots, did basketball players who received visualization training tend to need fewer attempts…arrow_forwardPlaying Video GamesA new study provides some evidence that playing action video games strengthens a person's ability to translate sensory information quickly into accurate decisions. Researchers had 23 male volunteers with an average age of 20 look at moving arrays on a computer screen and indicate the direction in which the dots were moving.1 Half of the volunteers (11 men) reported playing action video games at least five times a week for the previous year, while the other 12 reported no video game playing in the previous year. The response time and the accuracy score were both measured. A 95% confidence interval for the mean response time for game players minus the mean response time for non-players is -1.8 to -1.2 seconds, while a 95% confidence interval for mean accuracy score for game players minus mean accuracy score for non-players is -4.2 to +5.8. a) Is it likely that game players and non-game players are basically the same in response time? If not, which group is faster…arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSON
The Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. Freeman
Introduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman
Correlation Vs Regression: Difference Between them with definition & Comparison Chart; Author: Key Differences;https://www.youtube.com/watch?v=Ou2QGSJVd0U;License: Standard YouTube License, CC-BY
Correlation and Regression: Concepts with Illustrative examples; Author: LEARN & APPLY : Lean and Six Sigma;https://www.youtube.com/watch?v=xTpHD5WLuoA;License: Standard YouTube License, CC-BY