A study found that 50 pedestrians gave more money to a street beggar if the beggar had a cute andhungry-looking dog with them compared to if they were alone. The gender of the pedestrians was alsonoted. Which of the following sentences describes a simple effects analysis on these data?Oa. The difference in donations when the beggar had a dog compared to notOb. The effect of having a dog compared to not on donations calculated separately for male and femalepedestriansOc. The relative difference between male donations and female donations when the beggar had a dogcompared to notOd. Using a graph to do a simple inspection of the mean donations from male and female pedestrianswhen the beggar had a dog or was alone

Explanation-In this scenario, a simple effects analysis would involve examining how the presence of…

Answered: A study found that 50 pedestrians gave…

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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A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects eleven 3-year-old children from her practice and measures their heights and head circumference. According to the data, the linear correlation coefficient between the height and head circumference of a child is 0.918. Compute the coefficient of determination, R². A. 91.8% O B. 84.3% OC. 82.6% O D. 8.2%
Please answer this question CORRECTLY! A study of several cities shows a positive correlation between the percent of people who swim outdoors and the number of barbecue grills sold. Which statement is most likely true? A. Swimming makes people hungry for a barbecue B. Barbecuing makes people want to swim C. The correlation is due to a third variable; weather D. The correlation is due to a third variable; cost of milk
A city official would like to know if there is public support for increasing funding for arts programs. To collect data, the city official stands outside a concert hall after a show and surveys every 25th person to exit and asks their opinion about raising funds for the arts. Which of the following describes the population in this scenario? all residents of the city the members of the city council all city residents who support the arts the people surveyed by the city official
ReAb. a question can influence eyewitness memory. In the study, college students watched a film of ap automobile accident and then were asked questions about what they saw. One group was asked, "About how fast were the cars going when they smashed into each other?" Another group was asked the same question except the verb was changed to "hit" in- stead of "smashed into." The "smashed into" group reported significantly higher estimates of speed than the "hit" group. Suppose a researcher repeats this study with a sample of today's college students and obtains the following results. Estimated Speed Smashed into Hit n 15 n = 15 M = 40.8 M = 34.0 SS = 510 SS = 414 a. Do the results indicate a significantly higher esti- mated speed for the "smashed into" group? Use a one-tailed test with a = .01. b. Compute the estimated value for Cohen's d to measure the size of the effect. the hypothesis test and the measure of effect size would appear in a research report. nort higher 18. In and a classic
A fundraiser is offering a small gift to people making a donation. The donor can choose one of four gifts: a mug, a t-shirt, a plush toy, or a water bottle. The fundraiser would like to know if any of the gifts were more or less popular or were they equal in preference. The data for n = 40 donors are below:
Choose the correct answer below. O A. The explanatory variable is the dependent variable. O B. The explanatory variable explains or predicts changes in the response variable. O C. The explanatory variable causes changes in the response variable. O D. All of the above.
You need to use Stata to look up the dataset and its variables. Use Stata Companion Textbook. (Dataset: NES. Variables: spend8, [pw=nesw].) The NES dataset contains spend8, which records the number of government policy areas where respondents think spending should be increased. Scores range from 0 (the respondent does not want to increase spending on any of the policies) to 8 (the respondent wants to increase spending on all eight policies). The NES, of course, polls a random sample of U.S. adults. In this exercise you will analyze spend8 using the mean and lincom commands. You then will draw inferences about the population mean. (Remember to specify nesw as the probability weight.) The spend8 variable has a sample mean of ______. Make sure you use [pw=nesw] so your results are nationally representative. There is a probability of .95 that spend8’s true population mean falls between a score of ______ at the low end and a score of ______ at the high end. A student researcher…
Suppose you were to collect data for the following pair of variables, ski diving: depth, visibility. You want to make a scatterplot. Which variable would you use as the explanatory variable? depth visibility Which variable would you use as the response variable? O depth O visibility Would you expect to see a positive or negative association? positive negative O neither
Jim and Larry run a soup stand. The data below represents the sales of soup that they had on 8 randomly selected days, along with the high temperature on that day. a) Create a scatter diagram for this data set and comment on whether there is a positive or negative relationship between these variables.b) Calculate the correlation coefficient between temperature and sales.c) Does a linear relationship exist between these variables? Explain to me why or why not this is the case.d) Using excel, calculate the least squares regression equation for this data set. e) Using your equation, predict the soup sales on a day where the temperature is 29 degrees.f) Interpret the slope of this equation.g) Can we use this data set and regression equation to predict the sales on a day when the average temperature is 102 degrees? Why or why not?h) What is the R-squared for this equation? How do you interpret that R-squared?
review(7a): The following table summarizes the outcome of a study that researchers carried to determine if females expressed a greater fear of heights than male. How many categorical variables are summarized in the table? Men Women Expressed fear for heights 68 109 did not expressed a fear for heights 94 89
A retailer wants to see if a red "Sale" sign brings in more revenue than the same "Sale" sign in blue. The data below shows the revenue in thousands of dollars that was achieved for various days when the retailer decided to put the red "Sale" sign up and days when the retailer decided to put the blue "Sale" sign up. Red: 2.7, 2.6, 1.1, 4.2, 2.6, 3.4, 2.3, 2.9, 4, 2.6 Blue: 2.2, 1, 2.8, 1.6, 0.6, 0.9, 1, 1.7, 3.4 Assume that both populations follow a normal distribution. What can be concluded at the a = 0.01 level of significance level of significance? b. The test statistic t î = (please show your answer to 3 decimal places.) c. The p-value = (Please show your answer to 4 decimal places.)

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