Chi-square analysis compares the counts of two categorical variables to tell you if a relationship exists...

Chi-square analysis compares the counts of two categorical variables to tell you if a relationship exists between the variables or not. You can apply chi-square analysis to answer important questions about factors in everyday life, and even about events like elections... or Halloween. If you are a character in a slasher film, is there a connection between your gender and your dying in some horrible manner?

1. Propose a life event or situation and two categorical variables for it. Complete a chi-square analysis of this event or situation and these variables, and share your results.

2. Do you agree with your findings? Why or why not?

Expert Solution

orchestra answered 1 year ago

Propose a life event or situation and two categorical variables for it. Complete a chi-square analysis...

Propose a life event or situation and two categorical variables for it. Complete a chi-square analysis of this event or situation and these variables, and share your results. Do you agree with your findings? Why or why not? What other factors, if any, should be considered?

If the chi-square test is used to test categorical variables, what are those numbers in the...

If the chi-square test is used to test categorical variables, what are those numbers in the contingency table? What do they represent? How are they calculated?

Chi-square determines if there is support for a relationship between variables by comparing: a. a sample...

Chi-square determines if there is support for a relationship between variables by comparing: a. a sample mean with a population mean. b. the mean of two research samples. c. observed frequencies and expected frequencies. d. observed frequencies and degrees of freedom.

You are doing a chi-square test with a 5 by 9 table of counts (that is,...

You are doing a chi-square test with a 5 by 9 table of counts (that is, 5 rows and 9 columns). What is the degrees of freedom? Suppose you get ?^2 = 45.23. Calculate the p-value. Suppose that you want to see if there is association between income level (high/medium/low) and gender. a)Write the null hypothesis. b)Use StatCrunch to calculate the test statistic (that is, the x?2 value) and the p-value for this contingency table, which shows the income level...

When and how do you use a chi-square distribution to test if two variables are independent?...

When and how do you use a chi-square distribution to test if two variables are independent? What is an example of how to use the contingency table to find expected frequencies?

We learned this week that a chi-square analysis has requirements for variables that are unique from...

We learned this week that a chi-square analysis has requirements for variables that are unique from the other analyses we've considered. For instance, the variables must be exhaustive, so they must include all possible answers. For this reason, something like yes and no are valid since those would be the only two options, unless you had someone who couldn't answer it for various reasons. Similarly, it needs to be mutually exclusive, so someone couldn't be in two categories at the...

CHI SQUARE You are a brewery owner and you think there is a relationship between a...

CHI SQUARE You are a brewery owner and you think there is a relationship between a customer’s gender and the type of beer they order. You collect the following data from the next 30 customers that enter your bar: Gender Type of Beer Male Dark Male Regular Male Regular Female Light...

Why is it impossible to calculate a chi-square on two interval/ratio level variables?

You have been using the chi-square test of independence to test for association between two variables....

You have been using the chi-square test of independence to test for association between two variables. 1) Give an example of a pair of variables for which you would expect to find no association. 2) Give an example of a pair of variables for which you would expect to find association, but not a causal relationship. 3) Finally, give an example of a pair of variables for which you would expect to find a causal relationship.

A measure of the strength of the linear relationship that exists between two variables is called:...

A measure of the strength of the linear relationship that exists between two variables is called: Slope/Intercept/Correlation coefficient/Regression equation. If both variables X and Y increase simultaneously, then the coefficient of correlation will be: Positive/Negative/Zero/One. If the points on the scatter diagram indicate that as one variable increases the other variable tends to decrease the value of r will be: Perfect positive/Perfect negative/Negative/Zero. The range of correlation coefficient is: -1 to +1/0 to 1/-∞ to +∞/0 to ∞. Which of...

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