Homework Answers
False (chi square test provides information about there exists any relationship between the variables but it doesn't provide the magnitude of the dependency or independency)
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A significant Chi-square result allows the researcher to quantify the effect (magnitude) of the dependent variable...
Is there a significant difference in level of exercise between men and women conduct a chi...
Is there a significant difference in level of exercise between men and women conduct a chi square test. identify the independent and dependent variable. I think the independent variable is gender and the dependent variable is level of exercise. Please review my answer and give feedback
When using chi-square, statistically significant but very weak relationships between variables ar...
When using chi-square, statistically significant but very weak relationships between variables are likely to occur if: a. samples sizes are large. b. sample sizes are small. c. the independent variable contains many different value categories. d. the dependent variable contains many different value categories.
1. the reason why the independent variable might not have caused an effect on the dependent...
1. the reason why the independent variable might not have caused an effect on the dependent variable are called threats to internal validity? A. true B. False 2. The use of existing natural groups of participants usually results in equivalent groups for an experiment A. true B. false 3. Mortality refers to the facts that participants may drop out of the experiemnts A. true B. false 4. A defining characteristics of an experiment is the unbiased assignment of participants to...
Chi square is used with nominal data, determine whether or not a significant difference exists between...
Chi square is used with nominal data, determine whether or not a significant difference exists between the observed number and expected number of cases falling into each category. True/ False
Which of the following is a true statement? Regression analysis and ANOVA are similar tools because they both determine if an independent variable has an effect on a quantitative dependent variable
Which of the following is a true statement? Regression analysis and ANOVA are similar tools because they both determine if an independent variable has an effect on a quantitative dependent variable, but in ANOVA the independent variable is qualitative and in Regression analysis the independent variable in quantitative. Regression analysis and ANOVA are similar tools because they both determine if a qualitative independent variable has an effect on a quantitative dependent variable. Regression analysis and ANOVA are similar tools because...
You are doing a chi- square test for independence and find a significant result. What can...
You are doing a chi- square test for independence and find a significant result. What can conclude? A The null hypothesis is correct and there is no difference in the proportion of count in your single row. B . The null hypothesis is incorrect and there is probably a relationship between the two variables of interest. C.The null hypothesis is correct and there is no relationship between your two variables of interest. D.The null hypothesis is incorrect and there is...
QUESTION 58 The chi-square test of independence does not allow us to state that one variable...
QUESTION 58 The chi-square test of independence does not allow us to state that one variable causes a change in another variable when the null hypothesis is rejected. True False QUESTION 59 When performing a hypothesis test to compare two or more population proportions, the expected frequencies must always be integer values. True False QUESTION 60
Find the independent variable and dependent variable for each sentence. Examples: A criminal justice researcher is...
Find the independent variable and dependent variable for each
sentence.
Examples: A criminal justice researcher is attempting to look at the relationship between race and crime. A researcher wants to explore how crime rate influence the number of police officers in an area A criminologist conducts rescarch on religious affiliation and views on capital punishment.
6 - The null hypothesis for a chi-square contingency test of independence for two variables...
The null hypothesis for a chi-square contingency test of independence for two variables always assumes that the variables are independent.AnswerTrueFalse
Skewness and kurtosis should not be tested when using the chi-square test of independence. True or...
Skewness and kurtosis should not be tested when using the chi-square test of independence. True or False The major difference between the Mann-Whitney U-test and the Kruskal-Wallis H test is the number of independent variables. True or False
QUESTION 58 The chi-square test of independence does not allow us to state that one variable causes a change in another variable when the null hypothesis is rejected. True False QUESTION 59 When performing a hypothesis test to compare two or more population proportions, the expected frequencies must always be integer values. True False QUESTION 60
Find the independent variable and dependent variable for each
sentence.
Examples: A criminal justice researcher is attempting to look at the relationship between race and crime. A researcher wants to explore how crime rate influence the number of police officers in an area A criminologist conducts rescarch on religious affiliation and views on capital punishment.
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