ANOVAs, t-tests, chi-squares, and MANOVAs are all examples of what types of statistics?
Select one:
a. Interval
b. Ratio statistics
c. Inferential statistics
d. Descriptive statistics
Solution :
ANOVAs, t-tests, chi-squares, and MANOVA's are all examples of statistics are :
Inferential statistics
Option c)
ANOVAs, t-tests, chi-squares, and MANOVAs are all examples of what types of statistics? Select one: a....
4) Which statement is true about statistics and data? a) There are two types of statistics – inferential and descriptive b) Variables come in two types – categorical and quantitative c) Letter grade is a type of categorical and ordinal data d) Hair color is a type of categorial and nominal data e) Number of leaves on a tree is a type of quantitative, discrete data f) All of the above g) None of the above
You are researching the average score on Quiz One in your statistics class. This is an example of: a. Descriptive Statistics b. Collective statistics c. Inferential statistics d. None of the above
Correlation, Regression, Chi-Square and F Distributions and Nonparametric Statistics. Explain in detail what is meant by correlation. a. Give three examples of a positive correlation and three examples of a negative correlation. b. Describe at least one lurking variable for each of the correlations provided in part a. c. Describe one outlier that could occur with each of your examples from part a.
THE PIRATES SCORED AN AVERAGE OF 2.33 RUNS PER GAME IN JUNE, 2019 Descriptive statistics b. inferential statistics The COLOR OF THE PIRATES JERSEYS ON MONDAY NIGHT Qualitative variable b. quantitative variable THE WEIGHT OF THEIR BASEBALLS WILL VARY DUE TO WEATHER ( humidity) Discrete variable b. continuous variable The Pirates’ players are in a study where they consume large amounts of caffeine before games to prove that they hit better. Observational b. experimental The temperature of the whirlpool Nominal ...
Tests of the b = 0 hypothesis are: Select one: a. tests for the share of dependent variable variation explained by the regression model. b. one-tail t tests. c. two-tail t tests d. tests of direction or comparative magnitude. The demand for most consumer goods is insensitive to changes in: Select one: a. competitor prices. b. the weather. c. advertising. d. the corporate income tax rate. The long-run effect on demand of competitor product-development strategies is: Select one: a. less...
Descriptive statistics have which of the following properties? Select one: O a. They are numerical or graphical summaries of data. O b. They are used to examine relationships between variables in a data set O C. They are used to see how well sample data can be generalized to the population. O d. All of the above.
Excluding multiple t-tests, all other multiple comparison procedures, such as post-hoc comparisons: Select one: a. Inflate α b. Inflate β c. Divide α in half. d. Maintain the probability of a Type I error at the desired level originally set.
One-way ANOVA test and t-tests compare means. Which of the following should you consider to select the One-way ANOVA over multiple t-tests when you have more than two groups? A. Multiple t-Tests will increase the likelihood of a Type I Error. B. Multiple t-Tests will decrease the likelihood of saying something is significant when it is not. C. Multiple t-Tests will increase the likelihood of more accurate t-values. D. Multiple t-tests allow to run more tests and the more tests...
Decide whether descriptive or inferential statistics is used: a) The use of the recent data will result in more accurate results. b) The average grade in this class is 77.8 c) We picked a group of our employee and after a survey we can say that 70% all of our employees are happy with the quality of their lunch. d) The data of this sample make me conclude that in general the students of CUNY are prepared for the challenge....
What is the idea behind the chi-square test for independence? Select one: a. to compare the quantile-quantile (Q-Q) plot with what would be expected under independence b. to compare the actual counts in a contingency table with what would be expected under independence c. to compare the cumulative distribution with what would be expected under independence d. none of these choices