Stat terms

Question 1

Range

Answer 1

Range is a measure of dispersion. It is defined as the difference between the highest and the lowest values.

Question 2

Median

Answer 2

In a population or a sample, the median is the value that has just as many values above it as below it. If there are an even number of values, the median is the average of the two middle values.

Question 3

Mode

Answer 3

The mode is a value that occurs with the greatest frequency in a population or a sample.

Question 4

Standard Deviation

Answer 4

Average deviation from the mean. How far the scores deviate on average from the mean, positive square root of variance.

Question 5

Variance

Answer 5

Sum of squares divided by the sample size or sample size minus one. It is average square deviation from the mean.

Question 6

Mean

Answer 6

Average of scores

Question 7

MAD

Answer 7

Mean Absolute Deviation
The mean absolute deviation of a set of data is the average distance
between each data value and the mean.
It includes (1) minimum, (2) maximum, (3) median (or second quartile), (4) the first quartile, and (5) the third quartile.

Question 8

Box-and-Whisker plot

Answer 8

A way of presenting measure of central tendency on variability graphically. It indicate shape of distribution.

Question 9

Standard score

Answer 9

The distance away from the mean in standard deviation unit. It is presented as “z”.

Question 10

Population

Answer 10

A set of all values, scores or organisms of interest. It includes every single individual of interest.

Question 11

Population Distribution

Answer 11

Distribution of all scores from the population

Question 12

Parameter

Answer 12

A measurement of the characteristics of a population. No variation. It is fixed.

Question 13

Random sample

Answer 13

Random sampling is a method of selecting a sample from a population in which all the items in the population have an equal chance of being chosen in the sample.

Question 14

Sample Distribution

Answer 14

Collection of individual scores, theoretical probability distribution of some statistics.

Question 15

Statistics

Answer 15

A measure of a characteristics of a sample distribution.

Question 16

Dependent Variable

Answer 16

The variable that is being influenced. Measure of subjects behavior.

Question 17

Independent Variable

Answer 17

The variable the experimenter manipulates.

Question 18

Measurement (as a process)

Answer 18

How you assign the number of people and a set of rules that determine what makes up the scale.

Question 19

Nominal Scale

Answer 19

A nominal scale is really a list of categories to which objects can be classified. It does not imply any amount. Just type or brand.

Question 20

Ordinal Scale

Answer 20

An ordinal scale is a measurement scale that assigns values to objects based on their ranking with respect to one another.

Question 21

Interval Scale

Answer 21

An interval scale is a measurement scale in which a certain distance along the scale means the same thing no matter where on the scale you are, but where “0” on the scale does not represent the absence of the thing being measured. Fahrenheit and Celsius temperature scales are examples.

Question 22

Ratio Scale

Answer 22

A ratio scale is a measurement scale in which a certain distance along the scale means the same thing no matter where on the scale you are, and where “0” on the scale represents the absence of the thing being measured.

Question 23

Discrete Variable

Answer 23

離散変数.　A variable that may assume only a countable, and usually finite, number of values.

Question 24

Continuous Variable

Answer 24

If a variable can take on any value between its minimum value and its maximum value, it is called a continuous variable; otherwise, it is called a discrete variable.

Question 25

Continuous Variable

Answer 25

If a variable can take on any value between its minimum value and its maximum value, it is called a continuous variable; otherwise, it is called a discrete variable.

Question 26

Normal Distribution

Answer 26

The normal distribution is a probability density which is bell-shaped, symmetrical, and single peaked. The mean, median and mode coincide and lie at the center of the distribution. The two tails extend indefinitely and never touch the x-axis (asymptotic to the x-axis). A normal distribution is fully specified by two parameters - mean and the standard deviation.