STAT 2_FINAL EXAMINATION_PART 1

is an act in statistics whereby an analyst tests an assumption regarding a population parameter.

• Hypothesis Testing

• Alternative Testing

• Null Hypothesis

• Inferential Statistics

is an act in statistics whereby an analyst tests an assumption regarding a population parameter.

• Alternative Hypothesis

• Null Hypothesis

• Inferential Statistics

• Descriptive Statistics

is an opposing theory to the null hypothesis. For example, if the null hypothesis predicts something to be true, the alternative hypothesis predicts it to be false.

• Descriptive Statistics

• Inferential Statistics

• Null Hypothesis

• Alternative Hypothesis

is a statistical hypothesis test used to determine whether the mean calculated from sample data collected from a single group is different from a designated value specified by the researcher.

• Kruskal-Wallis H-Test

• One-Sample T-Test

• Two Sample T-Test

• Mann-Whitney U-Test

is a method used to test whether the unknown population means of two groups are equal or not.

• Kruskall Wallis H-Test

• One-Sample T-Test

• Two-Sample T-Test

• Mann-Whitney U Test

is used to test whether two samples are likely to derive from the same population (i.e., that the two populations have the same shape).

• Mann Whitney U-Test

• Kruskall Wallis H-Test

• One Sample T-Test

• Two Sample T-Test

s a collection of statistical models and their associated estimation procedures used to analyze the differences among means.

• Correlation

• T-Test

• ANNOVA

• Regression

is a rank-based nonparametric test that can be used to determine if there are statistically significant differences between two or more groups of an independent variable on a continuous or ordinal dependent variable.

• One Sample T-Test

• Mann Whitney U Test

• KruskaL Wallis H Test

• Two-Sample T-Test

is a statistical hypothesis test used in the analysis of contingency tables when the sample sizes are large. In simpler terms, this test is primarily used to examine whether two categorical variables are independent in influencing the test statistic.

• Simple Regression

• Multiple Regression

• Chi-Squared Test

• ANNOVA

is a statistical measure that expresses the extent to which two variables are linearly related (meaning they change together at a constant rate). It's a common tool for describing simple relationships without making a statement about cause and effect.

• T-Test

• ANNOVA

• Regression

• Correlation