1. Does having more gun stores in your neighborhood increase the risk of getting shot? Researchers looked at neighborhoods in a (made-up) city and recorded the number of stores that sold guns in a neighborhood and counted the number of deaths by shootings recorded in that neighborhood in a 6 month period. The data are below. Gun Stores Shooting Deaths 2 3 5 7 4 3 3 4 4 2 4 3 You may use computer software such as Excel to do the calculations for this problem if you wish, but you must show all intermediate calculations and indicate how the calculations were performed. (In other words, you should show all the same work as if you had done the calculations by hand.) It is also fine to do the problem entirely by hand. a. Make a scatterplot of gun stores (X) and deaths by shooting (Y). b. Describe the form of the relationship. Is there a linear pattern? Is the direction of the association positive or negative? c. Calculate the Pearson correlation coefficient. Explain in simple language what this says about gun stores and shooting deaths.

1. Does having more gun stores in your neighborhood increase the risk of getting shot? Researchers looked at neighborhoods in a (made-up) city and recorded the number of stores that sold guns in a neighborhood and counted the number of deaths by shootings recorded in that neighborhood in a 6 month period. The data are below. Gun Stores Shooting Deaths 2 3 5 7 4 3 3 4 4 2 4 3 You may use computer software such as Excel to do the calculations for this problem if you wish, but you must show all intermediate calculations and indicate how the calculations were performed. (In other words, you should show all the same work as if you had done the calculations by hand.) It is also fine to do the problem entirely by hand. a. Make a scatterplot of gun stores (X) and deaths by shooting (Y). b. Describe the form of the relationship. Is there a linear pattern? Is the direction of the association positive or negative? c. Calculate the Pearson correlation coefficient. Explain in simple language what this says about gun stores and shooting deaths.

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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Part A. Depression affects many people. 25 out of 100 people with untreated depression will lose at least one friendship while not receiving treatment. On the other hand, when people with depression are treated with medication and counseling, only 2 out of 100 will lose at least one friendship during treatment. The absolute risk of losing at least one friendship while being treated with medication and counseling is Answer: 2 / 100 = 0.02 = 2%
Opinions are split about a coffee company's pumpkin-flavored coffee (PFC). Yet every year over the last five years the consumption of pumpkin-flavored goods has increased. If we look at the numbers, it also becomes clear why a leading coffee company keeps offering the PFC earlier and earlier every year. According to a magazine, the amount spent by PFC buyers at the coffee company is about 17% higher than non-PFC buyers. The accompanying table shows a random sample of eight consumers, the amount they spend per week, and the number of PFCs purchased per week. PFC Spending 2 13.88 7 39.11 4 19.79 1 9.84 3 15.43 1 21.52 5 37.39 3 13.85 Calculate the slope and y-intercept for the regression formula. The slope is b1=(Round to three decimal places as needed.)
Practice question #3 Investigators want to know if those who work long hours have more trouble sleeping. In one sample of 190 British civil servants who worked more than 40 hours a week, 95 of them said they usually get less than 7 hours of sleep per night. In a second sample of 150 British civil servants who worked between 35 and 40 hours per week, 63 of them said they usually get less than 7 hours of sleep per night. The investigators believe these are represent samples of the populations. Find a 95% Confidence Interval for the difference in proportions of these two populations that get less than 7 hours of sleep per night. Then interpret the confidence interval. Be sure to check that any necessary conditions are met first. Round final answers to 3 decimal places. Verify conditions are appropriate for method: Interval: ________________________ Does the interval contain zero? __________ What does this information lead you to conclude?
Opinions are split about a coffee company's pumpkin-flavored coffee (PFC). Yet every year over the last five years the consumption of pumpkin-flavored goods has increased. If we look at the numbers, it also becomes clear why a leading coffee company keeps offering the PFC earlier and earlier every year. According to a magazine, the amount spent by PFC buyers at the coffee company is about 17% higher than non-PFC buyers. The accompanying table shows a random sample of eight consumers, the amount they spend per week, and the number of PFCs purchased per week. PFC Spending 2 13.88 7 39.11 4 19.79 1 9.84 3 15.43 1 21.52 5 37.39 3 13.85 The slope is b1=4.465 The y-intercept is b0=6.840 Because the slope is positive, it can be concluded that one extra PFC purchase per week will increase the average amount of spending per week by 4.46 dollars. Predict…
Below you will find a research scenarios. Your task is to identify the proposed analysis and why you chose that analysis for each of these scenarios. State the research question that aligns with the scenario and the analysis. Next run the appropriate analyses and report your findings in APA Research scenario 2: Historians are interested in the accuracy of eyewitness accounts of traumatic events. One study examined survivors' recall of the sinking of the ship Titanic (Riniolo, Koledin, Drakulic, & Payne, 2003). The researchers reviewed the transcripts of survivors' testimony at governmental hearings (www.titanicinquiry.org) to see whether they testified that the ship was intact or breaking apart during the ship's final plunge (it was in fact breaking apart). To test for eyewitness accuracy, testimony of 20 survivors was examined to see if there was an equal likelihood of survivors saying the ship was intact or breaking apart. Datafile: titanic.xlsx Your response should contain…
6. A social worker looks at data in her state regarding the relationship between being in foster care and having a criminal record by the age of 25. "Aging out' refers to when a youth turns 18 years old and is expected to move out of foster care and start their lives on their own. Fictional data fro 1350 youths is shown below. Answer the following questions in the space below, labeling each response a, b, or c. What percentage of youths overall were adopted before aging out, and had a criminal record? What percentage of youths were in foster care until they were aged out? True or False: If foster care status and having a crime record were independent of each other, and 55% overall had no crime record, you would expect 55% of those who aged out in foster care to have no crime record. No crime record Crime record Total Foster care until ‘aged out’ 445 450 895 Adopted before aging out 300 155…
Part A. Depression affects many people. 25 out of 100 people with untreated depression will lose at least one friendship while not receiving treatment. On the other hand, when people with depression are treated with medication and counseling, only 2 out of 100 will lose at least one friendship during treatment. The absolute risk of losing at least one friendship while dealing with untreated depression is Answer: Blank / blank= blank = blank %
A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…
A psychologist believes that the age of an adolescent will have an impact on the number of phone calls made to the opposite sex (in heterosexual people) over the course of one month. They also suspect that gender of the adolescent will have an impact on the number of phone calls made to the opposite sex. Using the hypothetical data provided below, run your analyses in R to test whether age and gender impacts the number of phone calls an adolescent makes. Gender (Binary) Girl Boy Age Young Adolescents (11-14) 7, 2, 3, 5, 3 1, 2, 3, 2, 1 Older Adolescents (15-18) 15, 26, 19, 21, 18 10, 8, 5, 16, 9 ( What kind of statistical analysis do you need to use and why? State the null and alternative hypotheses. Check your assumptions. Include screenshots of your R output and explain why each of them are or are not met. Using R, run your analysis and include a screenshot. Using R, run post-hoc tests and include a screenshot. What do you…