Standard Normal Distribution

Question 1

A continuous, symmetric, bell-shaped distribution of a variable.

Answer 1

Normal Distribution

Question 2

Distribution is bell shaped.

Answer 2

Normal Distribution

Question 3

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

Answer 3

Normal Distribution

Question 4

It is unimodal and continuous.

Answer 4

Normal Distribution

Question 5

First derived by Abraham De Moivre (1667-1754), with contributions of the German mathematician, physicist and astronomer Carl Friedrich Gauss.

Answer 5

Normal Distribution

Question 6

Normal Distribution also known as?

Answer 6

Gaussian Curve

Question 7

It is a graphical representation of the probability that the data collected distributes itself normally.

Answer 7

Gaussian curve or Normal Distribution

Question 8

Asymmetrical or abnormal distribution of data in relation to the mean.

Answer 8

Data distribution skewness

Question 9

[3] types of Distribution

Answer 9

1. Symmetrical Distribution
2. Positively Skewed Distribution
3. Negatively Skewed Distribution

Question 10

Data values are evenly distributed on both sides of the mean.

[types of distribution]

Answer 10

Symmetrical Distribution

Question 11

The distribution that is unimodal and the mean, median, and mode are similar and at the distribution’s center.

[types of distribution]

Answer 11

Symmetrical Distribution

Question 12

Most of the values in the data fall to the left of the mean and group at the lower end of the distribution; tail is to the right.

[types of distribution]

Answer 12

Positively Skewed Distribution

Question 13

The mean is to the right of the median, and the mode is to the left of the median.

[types of distribution]

Answer 13

Positively Skewed Distribution

Question 14

The mass of the data values falls to the right of the mean and group at the upper end of the distribution; tail is to the left.

[types of distribution]

Answer 14

Negatively Skewed Distribution

Question 15

The mean is to the left of the median, and the mode is to the right of the median.

[types of distribution]

Answer 15

Negatively Skewed Distribution

Question 16

Plays an important role in statistical interference.

Answer 16

Normal distribution

Question 17

A vertical line can be drawn in the middle of the distribution so that one side of the distribution is a mirror image of the other side.

Answer 17

Symmetrical Distribution

Question 18

[3] Types of Kurtosis

Answer 18

1. Leptokurtic
2. Mesokurtic
3. Platykurtic

Question 19

Distributions where values clustered heavily or pile up in the center. There are tall distribution with narrow humps and long and high tails. Its kurtosis is positive. (kurtosis>0) and it denotes a high degree of peakedness.

[types of kurtosis]

Answer 19

Leptokurtic

Question 20

positive kurtosis, higher peak and longer tail.

[types of kurtosis]

Answer 20

Leptokurtic

Question 21

Are intermediate distribution which are neither too peaked nor too flat. The values are immediately distributed about the center. Its kurtosis is zero (kurtosis=0).

[types of kurtosis]

Answer 21

Mesokurtic

Question 22

Are flat distributions with values more evenly distributed about the center with broad humps and short tails. Its kurtosis is negative (kurtosis < 0) and it denotes a low degree of peakedness.

[types of kurtosis]

Answer 22

Platykurtic

Question 23

negative kurtosis, low peak. Flatter peak, shorter tail.

[types of kurtosis]

Answer 23

Platykurtic

Question 24

A bell-shaped theoretical distribution of population scores.

Answer 24

Normal curve

Question 25

Indicates how far a raw score is above or below the mean when measured in a standard deviation units. It locates the relative standing of a score by comparing it to the sample or population in which the score occurs.

Answer 25

Z-score

Question 26

A perfect normal curve that serves as a model of any approximately normal z-distributions.

Answer 26

Standard Distribution Curve