MIDTERMS Flashcards
Also known as the normal distribution or Gaussian distribution.
Bell-shaped
Named after Marl Friedrick Gauss
Bell-shaped distribution
Bluman, defines normal distribution as a continuous, symmetric, bell-shaped distribution of a variable. True or False?
True
Most widely used model for continuous measurement
Normal Distribution
The mean, mode, and median are equal and are located at the ______ of the distribution.
center
A normal distribution curve is bimodal. True or False?
False. A normal distribution curve is unimodal.
The normal probability distribution with means equal 0 and standard deviation equals to 1.
Standard Normal Distribution
The total area under the density curve of standard normal distribution is equal to 1. True or False?
True
Give 5 distribution shapes
Bell-shaped
Left skewed
Right skewed
Uniform
J-shaped
What is the shape of a normal distribution curve?
Bell-shaped
It is the normal probability distribution with mean equals 0 and sd equals to 1.
Standard Normal Distribution
Formula for Normality:
PC = 3(mean) - median / sd
If index is less than 1, then the data is significantly left skewed. How about when the index is greater than 1?
The data is significantly right skewed.
Asymmetry with respect to a histogram of data or a probability distribution.
Skewness
The measure of the degree to which unimodal distribution is peaked.
Kurtosis
Random variables with negative kurtosis. Associated with lantog
Leptokurtic
Technically defined as having a kurtosis of zero or nearly zero.
Mesokurtic
Random variable with positive kurtosis. Associated with pandak.
Platykurtic
One of the statistical tools that is commonly used, and defined by Bluman as a statistical method used to determine if there is an existing linear relationship between variables.
Correlation
What does “correlation is NOT causation” means?
In correlation, one thing that does not cause the other or the other does cause the first to happen.
A statistical measure of strength of linear relationship between paired data.
Pearson’s correlation coefficient
Used if the value of correlation coefficient is significant.
Regression Analysis
The data x and y variables came from the same entity.
related pairs
There’s a linear relationship between the dependent and independent variables.
Linearity
The sd pf each of the dv must be the same for each value of the iv.
Homoscedasticity
