Which of the following are required to use the t-test (remember there is both the variable you are testing and the grouping variable)?
An Interval variable
A Dichotomous variable
Neither a nor b
Both a and b
Answer: Both a and b.
Explanation: The two assumptions to perform the independent sample t test are such that;
1) the dependent variable should be measured on interval scale or ratio scale, for example if we are comparing the expected age of male and female, the age should be measured from 0-100 (years).
2) the independent variable should be categorical. A dichotomous variable (categorical) is a variable that takes only two distinct values (for example male/female )
Which of the following are required to use the t-test (remember there is both the variable...
Which of the following tests does not use at least one quantitative variable Independent T Test Dependent T Test ANOVA Chi-Square test
Which of the following tests does not use at least one quantitative variable? independent t-test dependent t-test ANOVA Chi-square test
You can use both the t-statistic and the Z-statistic to test hypotheses about the mean of a population. The test that uses the t-statistic is typically referred to as a t test, while the test that uses the z-statistic is commonly called a z test. IO Which of the following statements are true of the t-statistic and the t distribution? Check all that apply. The formula for the t-statistic is t = (x - 1) / s/vn. When the population...
9. What are the three required assumptions for the appropriate use of the independent groups t-test? What are the three required assumptions for the appropriate use of the dependent groups t-test? Can you use these tests when you have three groups? What test do we use instead? Can the dependent variable be nominal? What should the nature of the dependent variable be? Consider your answers to the previous question when you answer the next two questions: 10. For which of...
In models with a dummy dependent variable, which of the following is true about link functions? (a) The link function converts ??????̂ into ??� ?? (b) The link function converts the linear component of a non-linear model to a quantity of interest. (c) Both (a) and (b) are correct. (d) Neither (a) nor (b) are correct. In models with a dummy dependent variable, which of the following is true about link functions? (a) The link function that we choose determines...
QUESTION 13 Which of the following statistical tests should you use to answer this question: What is the relationship between different levels of blood glucose (in micro grams per millimeter) and diabetes diagnosis (dichotomous variable)? O Linear regression O Logistic regression Neither O Correlation
1 & 2
At what level of measurement must the dependent variable be to conduct a binary logistic regression analysis? a. dichotomous b. either interval or ratio C. continuous d. either continuous or multi-category nominal QUESTION 3 In a logistic regression model, what level of measurements can the independent variables be? a. Independent variables can be interval or ratio only. b. Independent variables can be nominal only. C. Independent variables can be interval, ratio, or nominal. d. Independent variables can...
Which of the following statements about confounding variable is TRUE? It is associated with either the exposure or the disease, but not both It is associated with the exposure, but not the disease It is associated with the disease, but not the exposure It is associated with both the exposure and the disease It is associated with neither the exposure nor the disease
Which of the following problems could be visible on a residual
plot of
versus t ?
et Question 17 1 pts Which of the following problems could be visible on a residual plot of et versus t? Autocorrelation, but not heteroskedasticity. O Both heteroskedasticity and autocorrelation Neither heteroskedasticity nor autocorrelation Heteroskedasticity, but not autocorrelation.
et
Question 17 1 pts Which of the following problems could be visible on a residual plot of et versus t? Autocorrelation, but not heteroskedasticity. O...
1. Which of the following will increase the value of the power in a statistical test of hypotheses? (a) Increase the Type II error probability. (b) Increase the sample size. (c) Reject the null hypothesis only if the P-value is smaller than the level of significance. (d) All of the above 2. A significance test gives a P-value of 0.023. This means that the result is statistically significant at (a) both the 0.01 and the 0.05 levels. (b) neither the...