On the following pages you are presented with five problems. Your job is to examine the output and discuss whether thereis a statistically significant relationship between the two variables, the pattern or direction of the relationship if therelationship is significant, and the strength of the relationship if the relationship is significant. AS you discuss the strengthof the relationship, you will rely on an appropriate measure of association from those that have been given. For thatdetermination, you will need to appropriately determine the level of measurement of each of the variables beingexamined. Please use the Measures of Association Chart I provided to help you with your determination. You may writeyour responses on a separate document or next to the problems on this one. 5. Does race (RACECEN) have an effect on whether respondents fear to walk within one mile of where they live (FEAR)?Afraid to walk at night in neighborhood Race or ethnicity CrosstabulationRace or ethnicityAmericanAsianIndian andAmericanAlaskaand PacificWhiteBlackNativeIslanderHispanicTotal7.1837510342106Afraid to walk at night YES Count40.9%28.0%36.7%44.6%33.1%in neighborhood%within Race or30.4%ethnicityNO7841531831461032Count%within Race or69.6%59.1%72.0%63.3%55.4%66.9%ethnicity11262592549831542TotalCount% within Race or100.0% 100.0%100.0%100.0%100.0%100.0%othnicityChi-Square TestsAsymptoticSignificance (2-Valuedfsided)Pearson Chi-Square16.4764002Likelihood Ratio16.0654.003Linear-by-Linear Association9,858.002Nof Valid Cases1542a. O cells (0.0%) have expected count less than 5. The minimumDirectional MeasuresAsymptoticStandardApproximate ApproximateErrorT.SignificanceValue.000.000LambdaSymmetricNominalby.000000Afraid to walk atnight inNominalneighborhoodDependent.000.000Race or ethnicityDependent.002.011.005Goodman and KruskalAfraid to walk at night intauneighborhoodDependent.006.003.000"Race or ethnicityDependenta. Notassuming the null hypothesis.b. Cannot be computed because the asymptotic standard error equals zero.c. Based on chi-square approximationSymmetric MeasuresApproximateValueSignificanceNominal by NominalPhi.103.002Cramer's V103002N of Valid Cases1542

When reading this table we are interested in the results of the "Pearson Chi-Square" row.…

Answered: On the following pages you are…

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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State if these variables would be expected to have a positive, negative, or no association. A. Number of schools and population size. o Positive Negative No association B. Income and number of health conditions. Positive o Negative No association C. Time spent meditating and stress level. Positive o Negative No association D. Number of pets and amount of money spent on printer ink. Positive Negative o No association E. Life expectancy and death rate. Positive Negative o No association
I need to the right answer for this please.
If when measuring two quantitative variables on an individual, we find that increases in the first variable x correspond to decreases in the second variable y, we say that A. there is a positive association between the two variables. b. there is a negative association between the two variables. c. there is no correlation between the two variables. d. there is a cause-and-effect relationship between the two variables.
Please answer the remaining questions
For the following example indicate the type of data involved using the following: A = nominal data B = ordinal data C = interval data 5. Category ranking of a hurricane.
Provide an appropriate response. Suppose you were to collect data for the pair of given variables in order to make a scatterplot. For the variables time spent on homework and exam grade, which is more naturally the response variable and which is the explanatory variable? O Time spent on homework: response variable Exam grade: explanatory variable O Time spent on homework: explanatory variable Exam grade: response variable
For each vignette, choose the type of research that is being conducted. There is only one correct answer for each vignette. Here are your answer choices for questions 1-18 Case Study Naturalistic Observation Laboratory Observation Survey Correlation Test Experiment Longitudinal Design Cross Section Cross Sequential Design Maria wants to understand the political demographics in her community, so she creates a questionnaire asking people to identify their age, gender, political affiliation, religion and marital status. After Maria collects the abovementioned data (in question #12), she then identifies the relationships between religion and political affiliation. Kathi…
. Present a description of your variables: Provide a codebook with the following four columns: (1) Variable name; (2) Variable label; (3) Value & Value label and Level of measurement (i.e., nominal, ordinal, interval, ratio). Please present this as a table. This should fit on one page.
refer to the following: For countries listed in the Human Development Report, the correlation between the percent of people using the Internet and per capita gross domestic product (GDP) is 0.888. The correlation (r) between the percent of people using the Internet and the percent using cell phones is 0.818. The correlation between the percent of people using the Internet and the literacy rate is 0.669. The correlation between the percent of people using the Internet and the fertility rate is -0.551. 10) Which variable (GDP, percent using cell phones, literacy rate, or fertility rate) has the strongest linear association with Internet use? Which variable has the weakest linear association with Internet use? Strongest: Weakest:
Can I get some help with identifying the variables and individuals?
You are a manager for Company ABC and decide to compile data and analyze your employees’ level of satisifaction. You create a survey to ask each employee to rate their level of satisfaction working at Company ABC. Table 1 shows data of 15 people employees that responded to your survey. Each of the employees have the same job title: Sales Representative. The data set includes variables regarding an employee ID, gender, ethnicity, region, pay rate, employee satisfaction rating. Each employee was asked to rate their level of satisfaction working at Company ABC. A composite score from 0 (lowest) to 5 (highest) is shown as the data variable employee satisfaction. Table 1: Employee Data on 15 Sales Representatives at Company ABC
Dr. Erie, a researcher at the Moore County Botany Institute, reported the following correlations. The correlation between pH level of soil and tomato weight is r₁ = -0.4. The correlation between hours of sunlight and tomato weight is r2 = 0.1. According to this information, which of the following statements are true? Select all that apply. Larger tomatoes result from more daily hours of sunlight. Larger tomatoes result from higher soil pH level. Tomato size is related more strongly to hours of sunlight than to soil pH level. None of these are true.

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