MIDTERMS

Question 1

Also known as the normal distribution or Gaussian distribution.

Answer 1

Bell-shaped

Question 2

Named after Marl Friedrick Gauss

Answer 2

Bell-shaped distribution

Question 3

Bluman, defines normal distribution as a continuous, symmetric, bell-shaped distribution of a variable. True or False?

Answer 3

True

Question 4

Most widely used model for continuous measurement

Answer 4

Normal Distribution

Question 5

The mean, mode, and median are equal and are located at the ______ of the distribution.

Answer 5

center

Question 6

A normal distribution curve is bimodal. True or False?

Answer 6

False. A normal distribution curve is unimodal.

Question 7

The normal probability distribution with means equal 0 and standard deviation equals to 1.

Answer 7

Standard Normal Distribution

Question 8

The total area under the density curve of standard normal distribution is equal to 1. True or False?

Answer 8

True

Question 9

Give 5 distribution shapes

Answer 9

Bell-shaped
Left skewed
Right skewed
Uniform
J-shaped

Question 10

What is the shape of a normal distribution curve?

Answer 10

Bell-shaped

Question 11

It is the normal probability distribution with mean equals 0 and sd equals to 1.

Answer 11

Standard Normal Distribution

Question 12

Formula for Normality:

Answer 12

PC = 3(mean) - median / sd

Question 13

If index is less than 1, then the data is significantly left skewed. How about when the index is greater than 1?

Answer 13

The data is significantly right skewed.

Question 14

Asymmetry with respect to a histogram of data or a probability distribution.

Answer 14

Skewness

Question 15

The measure of the degree to which unimodal distribution is peaked.

Answer 15

Kurtosis

Question 16

Random variables with negative kurtosis. Associated with lantog

Answer 16

Leptokurtic

Question 17

Technically defined as having a kurtosis of zero or nearly zero.

Answer 17

Mesokurtic

Question 18

Random variable with positive kurtosis. Associated with pandak.

Answer 18

Platykurtic

Question 19

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.

Answer 19

Correlation

Question 20

What does “correlation is NOT causation” means?

Answer 20

In correlation, one thing that does not cause the other or the other does cause the first to happen.

Question 21

A statistical measure of strength of linear relationship between paired data.

Answer 21

Pearson’s correlation coefficient

Question 22

Used if the value of correlation coefficient is significant.

Answer 22

Regression Analysis

Question 23

The data x and y variables came from the same entity.

Answer 23

related pairs

Question 24

There’s a linear relationship between the dependent and independent variables.

Answer 24

Linearity

Question 25

The sd pf each of the dv must be the same for each value of the iv.

Answer 25

Homoscedasticity