Module 6A Type B & D

The following are not univariate analysis, namely..

• Regression analysis

• Normality test

• Paired sample t-test

• Independent sample t-test

Which statement is correct, regarding the advantages of parametric statistics

• The parameter requirements of a population that is sampled are usually not tested and are considered to be qualified.

• Observations are limited to each other.

• Can use populations that are not normally distributed.

• The parameter requirements of a population that is sampled are tested, then it is determined whether they meet the requirements.

The following are not types of tests, in univariate analysis of non-parametric statistics are

• Rank-sum test

• K-S test

• Binomial test

• Logrank test

An alternative hypothesis is a statement that is expected to be false or rejected.

• True

• False

In the normality test, if the significance of the study is less than equal to α. Then the null hypothesis will be ..

• Reject

• Not rejected

• Accept

• Consider

A type of T test that is a two-sample test to compare the means of two groups that are not related to each other, called...

• Independent sample t-test

• Multiple sample t-test

• Paired sample t-test

• One sample t-test

According to ..., partial correlation analysis is a method used to identify the strength or weakness of the relationship between independent and dependent variables. Where other variables are controlled or considered influential.

• Sarwono (2006)

• Sarwono (2005)

• Irianto (2006)

• Irianto (2005)

In linear correlation, if the points scatter or move away from a straight line following a random pattern, then the two variables are stated...

• Has a correlation of one (there is a linear relationship)

• Have zero correlation (there is a linear relationship)

• Have zero correlation (no linear relationship)

• Has a correlation of one (no linear relationship)

The alternative hypothesis is expressed in mathematical equations, in the form of inequalities or not equal to.

• True

• False

In Pearson correlation, if the correlation value is in the range >0.25 - 0.5. Stating that..

• Moderate correlation

• Strong correlation

• Very weak correlation

• Very strong correlation