WorksheetsHybrid Class 3 Parametric and Nonparametric Tests
Total questions: 18
Worksheet time: 9mins
Which of the following tests would be an example of a non parametric method?
Z test
T test
Chi square
All of these
Type I error is also known as
Beta
Alpha
Gamma
None of these
A collection of statistical methods that generally requires very few, if any assumptions about the population distribution is known as
Parametric methods
Non- Parametric methods
Semi Parametric methods
None of the above
The probability of rejecting the null hypothesis when it is true is called as
Level of confidence
Level of significance
Power of a test
None of these
Chi square test is example of:
Parametric test
Non parametric test
Descriptive test
Survey test
If you fail to reject the null and the null is false, it is a
Type I error
Type II error
An example of a statistical test used for categorical data (independent and dependent variables) is
chi square
Pearson r
Regression
ANOVA
Which of the following fits the definition of "assumption" when used in statistics?
bias
background information
requirement for a test
general understanding
For unskewed ratio data, the best descriptive measure is
Mode
Median
Mean
For ordinal data, the best descriptive measure is
Mode
Median
Mean
Pearson correlation requires
Ratio variables
Ordinal variables
Categorical variables
ANOVA requires that the dependent variable be
Ratio
Grouping
Ordinal
The independent t test is a test of
Medians
Frequencies
Means
When significance is found for ANOVA, the conclusion is
There is no difference in proportion
There is no difference in means
There is a difference in means between at least one group and another
An independent t test involves
Three or more groups
Unlimited numbers of groups
Two groups
Correlation is a test of
Means
Medians
Frequencies
Association
Grouping variable dichotomous and normally distributed are assumptions for
Pearson Correlation
Independent t test
Chi square
ANOVA
