affect the value of the correlation?At the beginning of this chapter we discussed a studyby Judge and Cable (2010) demonstrating a posi-tive relationship between weight and income fora group of men. The following are data similar tothose obtained in the study. To simplify the weightvariable, the men are classified into five categoriesthat measure actual weight relative to height, from1 = thinnest to 5 = heaviest. Income is recorded asthousands earned annually.a. Calculate the Pearson correlation for these data.b. Is the correlation statistically significant? Use atwo-tailed test with a = .05.Weight (X)Income (Y)151885273499256143NWSA131Ş10. For a two-tailed test with a = .05, use Table B.6 todetermine how large a Pearson correlation is necessarytistically significant for each

Solution: X Y (X-X) (Y-Y) (X-X)(Y-Y) (X-X)2 (Y-Y)2 4 151 1 63 63 1 3969 5 88 2 0 0 4 0 3…

Answered: At the beginning of this chapter we…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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The table below shows the number of state-registered automatic weapons and the murder rate for several states in the U.S. 11.6 8.4 6.7 3.5 2.7 2.7 2.2 0.9 14.1 11.3 9.9 6.8 6.2 6.3 5.8 I = thousands of automatic weapons y = murders per 100,000 residents Keep in mind, the data in the table do not necessarily imply a direct causal link between the two variables. (In fact, can you think of any reasons why these variables may not be directly related to each other?) Also, the purpose of this question is not to make a political statement about guns or gun control. It's only to illustrate that data such as these sometimes have mathematical relationships that can be modeled with linear equations. Those relationships should always be questioned and examined carefully. With that said, these data can be modeled by the equation y = 0.87z + 3.95. Use this equation to answer the following; A) If this model is oconsistent, how many murders per 100,000 residents can be expected in a state with 8.7…
Do you think the results of the study might be applicable to the whole population? Why or why not?
The following table shows a sample dataset of observation values of an independent variable, Age, and a dependent variable, number of toys Age 5 3 6 3 4 4 6 8 Toys 13 15 7 12 13 11 9 5 What is the value of Toys when Age is 7 (round your answer without decimal)
Researchers Holdgate et al. (2016) studied walking behavior of elephants in North American zoos to see if there is a difference in average distance traveled by African and Asian elephants. They put GPS loggers on 33 African elephants and 23 Asian elephants and measured the distance (in kilometers) the elephants walked per day. The data in the file below Elephants contains results that are consistent with what the researchers found: Species Distance: African 6.12 African 3.65 African 4.26 African 3.8 African 5.23 African 5.02 African 5.17 African 5.37 African 4.89 African 6.4 African 6.42 African 6.85 African 3.38 African 7.71 African 4.02 African 3.52 African 5.81 African 5.83 African 7.02 African 6.11 African 4.62 African 5.54 African 3.2 African 5.49 African 5.47 African 6.97 African 3.74 African 3.04 African 7.84 African 8.62 African 7.63 African 5.25 African 4.19 Asian 1.39 Asian 2.59 Asian 8.03 Asian 7.93 Asian 0.33 Asian 8.22 Asian 6.95 Asian 2.39 Asian 3.89 Asian 10.53 Asian…
Comment on one aspect of the comparison of data from the twodatasets that can be seen more easily on the histograms than onthe boxplots.
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Which of the following is a characteristic of quantitative data? A It focuses on subjective interpretations and opinions B It is collected through interviews and focus groups. C It can be easily represented using graphs and charts D) All of the above
QUESTION 2 An environmentalist wanted to determine if the mean acidity of rain differed among Ipoh, Johor Bahru and Kuantan. He randomly selected six rain dates at each city and obtained the following data: Table 2 Ipoh 5.10 5.00 4.91 5.12 4.78 5.20 Johor Bahru 4.80 4.15 4.42 4.65 4.87 4.10 Kuantan 5.45 6.23 5.55 5.10 5.42 5.25 Answer the following questions without using any output from any software. a) Construct a complete Analysis of Variance table. b) At <= 0.05, test whether the mean acidity of rain is different among the three cities. c) Based on the answer in (a) and (b), write a brief conclusion on the mean acidity of rain among Ipoh, Johor Bahru and Kuantan.

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At the beginning of this chapter we discussed a stu by Judge and Cable (2010) demonstrating a posi- tive relationship between weight and income for a group of men. The following are data similar to those obtained in the study. To simplify the weight variable the men are classified into