Module 6A Type A dan C

Which is an advantage of non-parametric statistics

• Although it is not bound to the normal distribution, it can be used in normally distributed populations.

• Although it is bound to the normal distribution, it can be used in normally distributed populations.

• Although it is not bound to a normal distribution, it also cannot be used in a normally distributed population.

• Although it is bound to the normal distribution, it cannot be used in a normally distributed population.

Which one is not included in the procedure in conducting hypothesis testing

• Formulate a hypothesis

• Determining the significance of the study

• Determine the statistical test

• Collecting data

The null hypothesis is the hypothesis that is expected to be rejected.

• True

• False

The following are the assumptions that must be met to perform the T test, namely

• The variance of the population being tested must vary

• Samples taken are normally distributed

• The variance of the population under test is adjusted to the case

• Samples taken are not normally distributed

The following are examples of univariate analysis, with the exception of

• F test

• T test

• Correlation coefficient

• Partial correlation

Normality test can be tested with residual scatter plot and Kolmogorov Smirnov test

• True

• False

The regression model can be said to be good, if there is no homoscedasticity.

• True

• False

What is the sample size that is the main characteristic of the T test?

• n > 10

• n < 20

• n < 30

• n > 40

The type of T test used to test paired samples, but subjected to two different treatments is called

• Independent sample t-test

• Multiple sample t-test

• Paired sample t-test

• One sample t-test

In Pearson correlation, if the correlation value is in the range >0.5 - 0.75. Stating that..

• Moderate correlation

• Strong correlation

• Very weak correlation

• Very strong correlation