Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Correlation ResultsResults are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linearcorrelation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier tomeasure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight?Use a significance level of a = 0.05.Correlation coeff, r: 0.974737Critical r:+ 0.2680855P-value (two tailed): 0.000.....Determine the null and alternative hypotheses.Ho: PH1: P(Type integers or decimals. Do not round.)

Here we have to write the null and alternative hypothesis from the given information

Answered: Fifty-four wild bears were…

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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The authors of a paper classified characters who were depicted smoking in movies released between a certain range of years. The smoking characters were classified according to sex and whether the character type was positive, negative, or neutral. The resulting data are summarized in the accompanying table. Assume that it is reasonable to consider this sample of smoking movie characters as representative of smoking movie characters. Do the data provide evidence of an association between sex and character type for movie characters who smoke? Use a = 0.05. Character Type Sex Positive Negative Neutral Male 256 107 132 Female 85 13 51 Calculate the test statistic. (Round your answer to two decimal places.) x2 = What is the P-value for the test? (Use technology to calculate the P-value. Round your answer to three decimal places.) p-value = What can you conclude? O Reject Ho: There is convincing evidence to conclude that the proportions falling into the character type categories are not all…
The authors of a paper classified characters who were depicted smoking in movies released between a certain range of years. The smoking characters were classified according to sex and whether the character type was positive, negative, or neutral. The resulting data are summarized in the accompanying table. Assume that it is reasonable to consider this sample of smoking movie characters as representative of smoking movie characters. Do the data provide evidence of an association between sex and character type for movie characters who smoke? Use a = 0.05. Sex Male Female Positive Negative 256 85 Character Type USE SALT 107 11 Neutral 131 50 Calculate the test statistic. (Round your answer to two decimal places.) x² = Use technology to calculate the P-value. (Round your answer to four decimal places.) P-value =
The researchers reported: Consumer masculinity was strongly correlated with appearance-related self-esteem (r = 0.40, p < .001) and media influence (r = 0.62, p < .001), but not correlated with overall self-esteem (r = 0.08, p > .05). a. State the correlations that were significant. b. Which correlation was the strongest?
Given below is a back-to-back stem-and-leaf diagram in which common stems are placed at the center of the diagram while the leaves of the two data set are listed at the left and right hand side of the given stems. The following back-to-back stem-and-leaf diagram determines the time in seconds for the two groups of participants to solve a puzzle when exposed to different noise level. The first group of participant solves the puzzle in the classroom wherein the noise level is maintained at 60 decibel. For the other group, a decibel level of 45 was maintained while they solved the same problem. Group 1 Stem Group 2 3 4 5 4 3 3 6 7 7 3 1 5 1 4 4 5 6 8 7 3 3 3 2 6 3 4 5 6 3 2 1 7 3 7 1 8 How many participants in group 2 that requires 45 seconds to solve the puzzle?
Which of the following is not a common data source? A. Customer Surveys B. Social Media Platforms C. Website Traffic Logs D. Key Performance Indicators (KPIs)
A researcher records the levels of attraction for various fashion models among college students. He finds that mean levels of attraction are much higher than the median and the mode for these data. What is the shape of the distribution for the data in this study? What measure of central tendency is most appropriate for describing these data? Why?
Which of the following is not statistically variable? Please choose one: a. A, B system blood group in humans b. Students' birth cities c. Euler's coefficient D. Relative system grades of students to. Height in humans
The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm) of a sample of 40 people. Along with the paired sample data, the technology was also given a foot length of 21.4 cm to be used for predicting height. The technology found that there is a linear correlation between height and foot length. If someone has a foot length of 21.4 cm, what is the single value that is the best-predicted height for that person? The regression equation is Height=52.3+4.58 Foot Length Predictor Coef SE Coef T P Constant 52.33 11.01 4.75 0.000 Foot Length 4.5818 0.4872 9.40 0.000 S=5.50437 R-Sq=70.8% R-Sq(adj)=70.0% Predicted Values for New Observations New Obs Fit SE Fit 95% CI 95% PI 1 150.381 1.722 (146.730, 154.032) (138.758, 162.004) Values of Predictors for New Observations New Obs Foot Length 1 21.4 The…
Judge and Cable (2010) report the results of a study demonstrating a negative relationship between weight and income for a group of women professionals. Following are data similar to those obtained in the study. To simplify the weight variable, the women are classified into five categories that measure actual weight relative to height, from 1 = thinnest to 5 = heaviest. Income figures are annual income (in thousands), rounded to the nearest $1,000. Is there a statistically significant correlation between the women’s weight and their annual income? Use a two-tailed test with α = .05. (report 4 steps) Calculate r2 as your measure of effect size. Report the results as you would in a research report.
A group of researchers investigated the effect of media usage (whether or not subjects watch television or use the Internet) in the bedroom on "Tiredness" during the day (measured on a 50 point scale). a. Identify the dependent and independent variable in this study . b. Identify the level of measurement for each independent and dependent variable.
Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel, May , ). Hotel occupancy data for February in two consecutive years are as follows. Current Year Previous Year Occupied Rooms 1,512 1,539 Total Rooms 1,800 1,900

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