loading...
« Previous 1
Click flashcard terms on the left to see their definitions.
High Scores
There are no High Scores Yet.
Share This List

All terms in this list:

Descriptive Statistics: A branch of statistics dealing with summarization and description of collections of data—data sets, including the concepts of arithmetic mean, median, mode, and quantile.

Inferential Statistics: A branch of statistics studing statistical inference—drawing conclusions about a population from a random sample drawn from it, or, more generally, about a random process from its observed behavior during a finite period of time.

Mean: *the average score or value * Mean of a sample: M = (∑X)/n * The main problem associated with the mean value of some data is that it is sensitive to outliers.

Median: The median is simply the middle value among some scores of a variable. (no standard formula for its computation) • If there is an even number of scores: take the mean of the two middle numbers.

Mode: • The most frequent response or value for a variable. • Multiple modes are possible: bimodal or multimodal.

Dispersion: Measures of dispersion give us information about how much our scores vary from the mean, • If they don’t, it is difficult to infer anything from the data • Dispersion is also known as the spread or variability

Range: r = h – l – Where h is high and l is low • In other words, the range gives us the value between the minimum and maximum values of a variable.

Standard deviation: A measure of how spread out data values are around the mean, defined as the square root of the variance. • The more spread apart the data, the higher the standard deviation • The more outliers in the data, the higher the standard deviation

parameter: A variable kept constant during an experiment, calculation or similar.

Sampling Error: The error caused by observing a sample instead of the whole population.

Correlation: One of the several measures of the linear statistical relationship between two random variables, indicating both the strength and direction of the relationship.

Pearson's r: -Testing hypothesis for two continuous variables -Null hypothesis Procedure

Chi Square: Testing hypothesis for two categorical variables

Student's t-test: * Testing hypothesis for one categorical and one continuous variable * any statistical hypothesis test in which the test statistic has a Student's t-distribution if the null hypothesis is true

ANOVA: * Testing hypothesis for one categorical (multiple levels) and one continuous variable * • Can be used when categorical variable has more than two categories (e.g., IV = Freshmen, Sophomore, Junior, Senior) - and - • Can include more than one indepen

Null Hypothesis: A hypothesis set up to be nullified or refuted in order to support an alternative hypothesis. When used, the null hypothesis is presumed true until statistical evidence in the form of a hypothesis test indicates otherwise. Therefore, the null and the alte

Friends with BookmarkOS

Definitions from Wiktionary under the GNU FDL.
Sentences copyrighted by their respective publishers.
terms of service privacy policy