1
Q
It is the measure of the likelihood of an event to happen.
A
Probability
2
Q
- These values usually arise from counts/counting.
A
Discrete Random variable
3
Q
These values usually arise from measurement.
A
CONTINUOUS RANDOM VARIABLE
4
Q
The two values that describe how scattered or spread out the scores are from the mean value of the random variable.
A
VARIANCE & STANDARD DEVIATION
5
Q
. It is the central value or average of its corresponding probability mass function.
A
MEAN
6
Q
- A distribution of a continuous random variable whose graph is a bell-shaped curve called normal curve.
A
NORMAL DISTRIBUTION
7
Q
- This is sometimes called standard score.
A
Z-SCORE
8
Q
- It is a measure used in statistics indicating the value below which a given percentage of observations in a group of observations fall.
A
PERCENTILE
9
Q
- The portion chosen from a population.
A
SAMPLE
10
Q
- The process of taking samples.
A
SAMPLING
11
Q
- This can be done by listing all the elements in the population and selecting every kth element in your population list.
A
SYSTEMATIC RANDOM SAMPLING
12
Q
- A random sampling wherein population is divided into clusters or groups and then the clusters are randomly selected.
A
CLUSTER SAMPLING
13
Q
- Sample units are picked for convenience but certain quotas are given to interviewers.
A
QUOTA SAMPLING
