(Midterm) Z score Flashcards
What is the primary purpose of a z-score?
To describe the exact location of a score within a distribution.
The numerical value of the z-score corresponds to the _____________________
number of standard deviations between X and the mean of the distribution.
Z-scores identify ____________ within a distribution means.
exact locations
Z-scores can be used as ____________________ & ________________________
descriptive statistics and as inferential statistics.
As ___________, z-scores determine whether a specific sample is representative of its population, or is extreme and unrepresentative.
inferential statistics
What is the advantage of standardizing distributions?
Two (or more) different distributions can be made the same.
Probability is the ______________________.
We define probability as a fraction or a proportion.
Method for measuring and quantifying the likelihood of obtaining a specific sample from a specific population
The probability of any specific outcome is determined by a ________________
Ratio comparing the frequency of occurrence for that outcome relative to the total number of possible outcomes. (Fo/Po)
When a population of scores is represented by a frequency distribution, probabilities can be defined by_____________
proportions of the distribution.
In graphs, probability can be defined as a _______________
proportion of area under the curve.
Why is probability important?
Probability is important because it establishes a link between samples and populations.
What is the general goal of inferential statistics?
To use the information from a sample to reach a general conclusion (inference) about an unknown population.
Two requirements of a random sample
- Each individual in the population has an equal chance of being selected
- If more than one individual is to be selected for the sample, there must be constant probability for each selection
What is the definitions of “distribution of sample means”?
the set of X‘s for all the possible random samples a specific sample size (n) that can be obtained from a given population
The parameters of the distribution of sample means (acc to central limit theorem):
1.
2.
3.
- shape (normal, n=30 or more)
- central tendency
- variability