LESSON 6-9: DESCRIPTIVE AND INFERENTIAL STATISTICS (copy)

DESCRIPTIVE STATISTICS

It describes, shows or summarizes data from your
sample in a meaningful way.

MEASURES OF CENTRAL TENDENCY

It indicates a single numerical value that summarizes the entire set of data which are a central to the complete set.

MEASURES OF VARIABILITY

It provides information about the spread or dispersion of scores in a data set.

MEAN

It refers on the average score in a data set. It is used for interval or ratio data - not skewed.

MEDIAN

Refers on the middle score in a data set. It is used for ordinal, interval, or ratio data - skewed.

MODE

Refers on the most frequent score in data set. It is used for nominal or ordinal data.

NEGATIVELY SKEWED

SYMMETRICAL DISTRIBUTION

POSITIVELY SKEWED

RANGE

The difference between the maximum and the minimum scores in a data set.

STANDARD DEVIATION

The average distance of observations from the mean of the data set.

VARIANCE

The average squared differences of the observations from the mean of the data set.

INFERENTIAL STATISTICS

It makes inferences about the population using data from a sample.

ONE-SAMPLE T-TEST

Identify the statistical test: This statistical test is used to compare with a hypothesized value.

CHI-SQUARE GOODNESS OF FIT

Identify the statistical test: This statistical test is used to compare with a hypothesized value.

DEPENDENT T-TEST

Identify the statistical test: This statistical test is used to compare between groups.

INDEPENDENT T-TEST

Identify the statistical test: This statistical test is used to compare between groups.

ONE-WAY ANOVA

Identify the statistical test: This statistical test is used to compare between groups.

PEARSON’S PRODUCT-MOMENT CORRELATION

Identify the statistical test: This statistical test is used to measure relationships.

CHI-SQUARE TEST OF ASSOCIATION OR INDEPENDENCE

Identify the statistical test: This statistical test is used to measure relationships.

SIMPLE LINEAR REGRESSION

Identify the statistical test: This statistical test is used to predict variables.

MULTIPLE LINEAR REGRESSION

Identify the statistical test: This statistical test is used to predict variables.

PEARSON’S PRODUCT-MOMENT CORRELATION

Identify the statistical test to be used: A pre-service teacher wants to determine the relationship between organizational commitment and job satisfaction among in-service teachers in public high schools.

SIMPLE LINEAR REGRESSION

Identify the statistical test to be used: A student researcher wants to determine whether the number of minutes spent in studying for the examination can significantly predict one’s score in the examination.

DEPENDENT T-TEST

Identify the statistical test to be used: A researcher wants to investigate how metacognitive instruction can improve the question-posing ability of the students. He compared the pretest and posttest scores of the students to determine the effectiveness of metacognitive instruction.

DEPENDENT T-TEST

Identify the statistical test to be used: A Practical Research 2 teacher wants to compare the final defense scores of students from the current school year to the previous school year. He knows that the mean final defense scores of students from the previous school year is 42. He compared it with the mean final defense scores of randomly selected students from the current school year.

INDEPENDENT T-TEST

Identify the statistical test to be used: A PE teacher wants to compare the cheer dance scores of STEM and ABM students.

ONE-WAY ANOVA

Identify the statistical test to be used: A PE teacher wants to compare the cheer dance scores of STEM, ABM, and HUMSS students.