Final Exam- bold definitions from book (chapter 6-11) Flashcards
Mean
a statistical measure of central tendency that is the average score of a group of scores
Pearson Product moment coefficient of correlation
the most commonly used method of computing correlation between tow variables; also called interclass or pearson r.
T-test
a statistical technique to assess differences between two groups
inference
the generalization of results to some larger groups
sample
a group of participants, treatments, or situation selected from a larger population
Population
the larger group from which a sample is taken
random numbers table
a table in which numbers are arranged in two digit set so that any combination of rows or columns is unrelated
stratified random sampling
a method of stratifying a population on some characteristic before random selection of the sample
Unit of analysis
the concept, related to sampling and statistical analysis, that refers to what is considered the most basic unit from which data can be produced
Power (statistical)
the probability of rejecting a false null hypothesis
central tendency ( measure of )
a single score that best represents all the scores
variability
the degree of difference between each individual score and the central tendency score
Standard error
the variability of the sampling distribution
Standard deviation
an estimate of the variability of the scores of a group aroudn the mean
variance
the square of the standard deviation
median
a statistical measure of central tendency that is the middle score in a group
mode
a statistical measure of central tendency that is the most frequently occurring score of the group.
frequency distribution
a distribution of scores including the frequency with which they occur
frequency intervals
small ranges of scores within a frequency distribution into which scores are grouped
stem and leaf display
a method of organizing raw scores by which score intervals are shown on the left side of a vertical line and individual scores falling into each interval are shown on the right side
Parametric statistical test
tests based on data assumptions of normal distribution and equal variance, and independence of observations
Nonparametric statistical test
any of a number of statistical techniques used when the data do not meet the assumptions required to perform parametric test
distribution free
a term used to describe nonparametric statistical tests, because the data distribution requirements for a parametric test do not have to be met.
skewness
a description of the direction f the hump of the curve of the data distribution and the nature of the tails of the curve.
kurtosis
a description of the vertical characteristic of the curve showing the data distribution such as whether the curve is more peaked or flatter than the normal curve.
normal curve
a distribution of data in which the mean, median, and mode are at the same point and in which +1s from the mean includes 68% of the scores, +2s from the mean includes 95% of the scores and +3s includes 99% of the scores.
Alpha (x)
a level of probability (of chance occurrence) set by the experimenter before the study ( level fo significances)
type 1 error
rejection of the null hypothesis when the null hypothesis is true
type 2 error
acceptance of the null hypothesis when the null hypothesis is false
truth table
a graphic representation of correct and incorrect decisions regarding type 1 and type 2 error
beta
the magnitude of a type 2 error
meaningfulness
the importance or practical significance of an effect or relationship
effect size
the standardized value that is the difference between the means divided by the standard deviation also called delta
context
the interrelationships found in the real-world setting
Coefficient of correlation
a quantitative value of th rlationship between two or more variables that can range from .00 to 1 in either a positive or negative direction
positive correlation
a relationship between two variables in which a small value for one variable is associated with a small value for another variable, and a large value for one variable is associated with a large value for the other.
negative correlation
a relationship between two variables in which a small value for the first variable is associated with a large value for the second variable and a large value for the first variable is associated with a small value for the second variable
Pearson product moment coefficient of correlation
the most commonly used method of computing correlation between two variables also called interclass, correlation, simple correlation or pearson r
significance
the reliability of or confidence in the likelihood of a statistic occuring again if the study were repeated
Coefficent of determination (r2)
the squared correlation coefficient; used in interpreting the meaningfulness of correlation
relative strenght
the measure of a person ability to exert maximal force in relation to his or her size
fisher transformation
a method of approximating normality of a sampling distribution of linear relationship by transforming coeffiecients of correlation to z values
Prediction equation
a formula to predict some criterion based on the relationship between the predictor variable and the criterion also called regression equation
line of best fit
the calculated regression line that results in the smallest sum of squares of the vertical distances of every point from the line
abscissa
the horizontal or the x axis of the graph
ordinate
the vertical or y axis of a graph
residual scores
the difference between the predicted nd actual scores that represent the error of prediction
standard error of prediction
the computation of the standard deviation of all of the residual scores of a population the amount of error expected in a prediction also called standard error of estimate
spurious correlation
a relationship in which the correlation between two variables is due primarily to the common influence of another variable
semipartial correlation
a technique in whcih just one variable is partialed out from two variables in a correlation
multiple regression
a model used for predicting a criterion from two or more independent or predictor, variables
shrinkage
the tendency for the validity to decrease when the prediction formula is used with a new sample