Question

6.         Why is it impossible to calculate a t-test on two nominal level variables?

6.         Why is it impossible to calculate a t-test on two nominal level variables?

Homework Answers

Answer #1

It is impossible to calculate t - test on two nominal level variables because the two independent samples t test compares the means of two independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different. So, the basic input required for the two independent samples t test is the means of the 2 samples. But, in the case of nominal variables, they do not have means at all. Thus, it is impossible to calculate t - test on two nominal level variables.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Why is it impossible to calculate a chi-square on two interval/ratio level variables?
Why is it impossible to calculate a chi-square on two interval/ratio level variables?
Calculate the t-test statistic for whether the correlation coefficient between the two variables below differs significantly...
Calculate the t-test statistic for whether the correlation coefficient between the two variables below differs significantly from 0. (Hint: You will first need to calculate the correlation coefficient.) 5          6 4          3 3          2 5          6 6          8 7          9 8          11 9          9 1          4 14        13
Then you will do a paired t-test on the two # of letters variables using a...
Then you will do a paired t-test on the two # of letters variables using a level of significance. What is the test-statistic and p-value? # of letters in first name #letters in last name 5 6 5 5 7 7 4 6 7 7 6 5 7 9 6 9 4 12 5 7 4 5 7 5
Which of the following can be used to test the hypothesis that two nominal variables are...
Which of the following can be used to test the hypothesis that two nominal variables are related? Select one: a. A contingency table analysis b. A goodness-of-fit c. ANOVA d. A regression analysis
Calculate the t-test statistic for whether the correlation coefficient between the two variables below differs significantly...
Calculate the t-test statistic for whether the correlation coefficient between the two variables below differs significantly from 0. (Hint: You will first need to calculate the correlation coefficient.) 56        78 53        75 16        46 20        34 101      52 32        36 56        78 73        94 45        13 23        103
Which of these variables are nominal variables? Age Gender Reported calcium level (mmol/L) for each patient...
Which of these variables are nominal variables? Age Gender Reported calcium level (mmol/L) for each patient Reported phosphorus level (mmol/L) for each patient Reported alkaline phosphatase level (IU/L) for each patient Six laboratories (coded as 1 to 6 in the dataset). Five age groups (65-69, 70- 74, 75-79, 80-84, 85-89)
If you are comparing counts of two unrelated nominal variables with a chi-square test, what remaining...
If you are comparing counts of two unrelated nominal variables with a chi-square test, what remaining assumption you need to check before continuing? What options do you have if your assumptions are not met?
Why is it reasonable to conduct a test of independence for two variables even though one...
Why is it reasonable to conduct a test of independence for two variables even though one of the variables is a grouping variable?
Explain why the slope can be used as a test of the relationship of two variables...
Explain why the slope can be used as a test of the relationship of two variables in simple regression
For each of the following variables, identify the level of measurement (nominal, ordinal, interval, or ratio)....
For each of the following variables, identify the level of measurement (nominal, ordinal, interval, or ratio). (I) Completion status of construction project (e.g. phase I, phase II, phase III) (II) Satisfaction level on a survey (e.g. very dissatisfied, satisfied, very satisfied, etc.) Question 2 options: 1) (I) Ordinal , and (II) Ratio 2) (I) Interval , and (II) Nominal 3) (I) Nominal , and (II) Nominal 4) (I) Ordinal , and (II) Ordinal 5) (I) Nominal , and (II) Ordinal