Flashcards
GAS
Cards in this deck (41)
- 1DATAthe values that are measured or categories recorded on individual entities of interest
- 2Observational UnitsThe individual entity in which data is recorded
- 3VariablesRecorded characteristics of the observational unit
- 4Quantitative VariablesTaking numerical values on which ordinary arithmetic operations make sense
- 5Categorical VariablesCategory designations. EX: eye color, marital status, voting in the last election are examples of such
- 6DistributionDescribing the pattern of value/category outcomes
- 7PopulationThe entire collection of observational units we are interested in
- 8CensusWhen data are gathered on all individuals in the population
- 9SampleA subset of the population on which we record data
- 10StatisticA number calculated from the observed data which summarizes information about the variable of interest
- 11Data TableFormat for storing data values
- 12HistogramA graph used with quantitative variables
- 13representativeA sample is representative if it has the same characteristics as the population
- 14BiasedA sampling method is biased if statistics from different samples consistently overestimate or consistently underestimate the population parameter of interest
- 15Convenience samplesA nonrandom sample of a population
- 16Simple Random SampleThis is the most common type of random sample. This method ensures that every sample of size N is equally likely to be the sample selected from the population. Each observational unit has the same chance of being selected as every other observational unit
- 17Sampling FrameA list of all the members of the population of interest from which random samples are taken; if the sampling frame does not contain all the members of the population of interest, the resulting sampling method could be biased
- 18X-BarThis sign means the sample average of a quantitative variable
- 19Sampling VariabilityThe amount that a statistic changes as it is observed repeatedly
- 20Dot Plotgraph with one dot representing the variable outcome for each observational unit
- 21DistributionValues taken by the variable and how many of (X) has those values
- 22VariabilityThe spread in observations for a quantitative variable
- 23ProcessAn endless series of potential observations
- 24ShapesCharacteristic of the distribution of a quantitative variable
- 25CentersA middle or typical value of a quantitative variable
- 26Standard DeviationA measure of the variability of a quantitative variable, the typical distance (absolute value) between the data values and the mean of the distribution
- 27SkewedNot symmetric and instead, the bulk of values favor one side with a "longer tail"
Right skewed distribution has tail on right.
Left skewed distribution has tail on the left. - 28Measurement UnitsThe units of measurement (min, hr., etc) of your quantitative variable
- 29MedianMiddle data value when data are sorted in order from smallest to largest
- 30Right skewlarger percentage of data values BELOW mean
- 31Left Skewlarger percentage of data values ABOVE mean
- 32OutlierAn observation that does not fit the overall pattern of the distribution
- 33Resistantthe stats are resistant if their value does not change considerably when extreme observations are removed from a data set
- 34Unusual observationsObservations made that are significantly different from what the data suggested
- 35Strength of evidence:How strong is the evidence in our example
- 36Central Limit TheoremThe distribution of sample means is normal or approximately normal with mean equal to the population mean and the standard deviation equal to s_1n, which can be estimated by s_1n
- 37Standard error:An estimate of the standard deviation of sample statistics across many samples
- 38T-distributionA mathematical model for t-statistics
- 39T-StatisticThe standardized statistic for the sample mean using the standard deviation of x (the standard error ) s_1n
- 40one-sample t-testA theory based approach to test inferences about a population mean
- 41—
Information
- Description
- 12th grade Statistics Flashcards on GAS, created by Matt Rosoff on 21/08/2023.
- Created by
- Matt Rosoff
- Views
- 0
- Rating