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STATISTICS
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X Axis
horizontal number line
Y Axis
vertical number line
Outlier
a data point that differs significantly from other observations
Measures of Central Tendency
as the number used to represent the center or middle of a set of data values
-mean, median, mode
Mean
Average, adding all numbers in the data set and then dividing by the number of values in the set
Median
middle value when a data set is ordered from least to greatest
Mode
the number that occurs most often in a data set
Range
the distance between the lowest and the highest value
Skewed Data
data that creates an uneven curve distribution on a graph
Negative skew
points left toward the negative side of the histogram
Positive skew
points right toward the positive side of the histogram
Histogram
a chart that plots the distribution of a numeric variable's values as a series of bars
Normal distribution
a probability distribution that appears as a "bell curve" when graphed
P-Value (Probability Value)
a number describing how likely it is that your data would have occurred under the null hypothesis of your statistical test
Probability Testing
The likeliness of an outcome or research result given the hypothesis
Null hypothesis
the claim that the effect being studied does not exist
Measures of Variability
how spread scores are in a distribution out
-range, variance, standard deviation, interquartile range, ect
Variance
how far a set of numbers is spread out from their average value, calculated by taking the average of squared deviations from the mean
Standard Deviation
the average amount of variability in your dataset- how far data points range from the mean
Statistical Significance
a result from data generated by testing or experimentation is likely to be attributable to a specific cause
ex: changing the color of a button from red to green will result in more people clicking on it
Inferential Statistics
The process of using data analysis to infer properties of an underlying distribution of probability
ex: birth weights of twins are generally lower than the weights of babies born alone
Empirical Rule
68-95-99.7 rule, tells you where most of the values lie in a normal distribution
Descriptive Statistics
Quantitatively describes or summarizes features from a collection of information, used to summarize and describe the main features of a dataset