Quantitative Research (1-20 activity) (copy)

Skewness

It measures the deviation of the given distribution of a random variable from a symmetric distribution such as Normal Distribution

Asymmetrical Distribution

It occurs if irregular frequencies and the mean, median, and mode occur at different points.

Left or right

If the distribution is not symmetrical, the frequency distribution is skewed to the ____

Mesokurtic Distribution

The distribution is characterized by having a kurtosis value of 3

Symmetrical Distribution

It occurs when the values of variables appear at regular frequencies and often the mean, median, and mode of occur at the same point.

Positively Skewed

The mean and median is greater than the mode.

Kurtosis (1)

It is a measure that describes how heavy the tails of a distribution differ from the tails of a normal distribution.

Pearson’s First Coefficient

It is used to measure the data distribution that exhibited heavy mode.

Pearson’s Second Coefficient

It is used to measure the data distribution with multiple modes.

Correlation

It is defined as a statistical association between two variables.

Scatterplot

It is a mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data.

Pearson’s Product-moment Correlation Coefficient

It is a correlational coefficient used in linear regression.

Kurtosis (2)

It is a measure that describes how heavily the tails of a distribution differ from the tails of a normal distribution. It means positive Mesokurtic.

Pearson Correlation Coefficient

It is a statistical method that measures the similarity or correlation between two data objects by comparing their attributes and calculating a score ranging from -1 to +1.

Bowley Skewness

It uses the quartiles (Q1, Q2, and Q3) of the data to determine the direction and degree of skewness, nothing it resort to outliers.

Open-ended Frequency Distribution

It is a distribution with no boundary.

Kelly’s Measurement of Skewness

It is calculated using the 10th and 90th percentile, excluding 20% of the observations, and compares them to the 50th percentile (median).

Illustration of the zero skew

Illustration of the negative skew

Illustration the negative correlation