STATS Flashcards
(24 cards)
th numerical descriptive measures of a population, measures describe a population
Parameters
the value or a range of values that approximate a parameter
Estimate
finding an approximate value or range of values for an unknown parameter.
Estimation
type of estimation that produces a single value
Point Estimation
single value produced in point estimation
Point Estimate
formula for point estimation
Point Estimator
type of estimation that contains a series of values in estimating an unknown population parameter.
Interval Estimation
series of value found in Interval estimation
Interval Estimates
formula for interval estimation
Interval Estimator
is an interval estimate constructed from a point estimate and a margin of error.
Confidence Interval
refers to the maximum estimate of how far the parameter can deviate from the point
estimate.
Margin of Error
refers to a degree of certainty of the confidence interval.
Confidence Level
refers to the likelihood that the confidence interval does not contain the parameter it estimates.
Significance Level (Alpha Level)
Also known as the average computed from the table.
MEAN
the numbers that describe characteristics of
scores in the sample (mean, variance, s.d., correlation coefficient, reliability coefficient, etc.)
STATISTIC
estimate is within the value of the mean.
Unbiased
estimate is below the value of the mean.
Negative Bias
estimate is above the value of the mean.
Positive Bias
mean of the population that possesses a given characteristic.
Population Mean μ
is an average of a sample of size n. best used for interval and ratio with symmetrical data as levels of measurement.
Sample Mean x
is the middle value of an ordered array of a sample of size n. best used for interval and ratio with skewed data as levels of measurement.
Sample Median x͂
is the value that frequently occurs among a random sample of size n. is used for nominal or categorical value. value is not important because it is assumed as a
descriptive category.
Sample Mode x
is so-called the student t-distribution, student’s distribution or student’s t-test.
T-Distribution
is consist of values for degrees of freedom df
T-Table