Enhance Your Learning with Stats Measures of Central Tendency Flash Cards for quick learning
The average of a set of numbers, calculated by summing all the values and dividing by the total count.
The middle value in a set of numbers when arranged in ascending or descending order.
The value that appears most frequently in a set of numbers.
The difference between the maximum and minimum values in a set of numbers.
A measure of how spread out the values in a data set are, calculated by taking the average of the squared differences from the mean.
A measure of the amount of variation or dispersion in a set of values, calculated as the square root of the variance.
Values that divide a data set into four equal parts, each containing 25% of the data.
Values that divide a data set into 100 equal parts, each containing 1% of the data.
A measure of the asymmetry of a probability distribution, indicating the extent to which a distribution deviates from being symmetrical.
A measure of the peakedness or flatness of a probability distribution, indicating the extent to which a distribution deviates from a normal distribution.
Extreme values that are significantly different from the other values in a data set.
A fundamental concept in statistics stating that the sampling distribution of the mean approaches a normal distribution as the sample size increases, regardless of the shape of the population distribution.
The probability distribution of a statistic obtained from a random sample, used to make inferences about the population.
A range of values within which the true population parameter is estimated to lie with a certain level of confidence.
A statistical method used to make inferences about a population based on a sample, involving the formulation of null and alternative hypotheses and the calculation of test statistics.
A measure of the strength and direction of the linear relationship between two variables.
A statistical technique used to model the relationship between a dependent variable and one or more independent variables.
Analysis of Variance, a statistical method used to compare means between two or more groups.
A statistical test used to determine if there is a significant association between two categorical variables.
A statistical test used to compare the means of two groups and determine if they are significantly different from each other.
A statistical test used to compare a sample mean to a known population mean when the population standard deviation is known.
A function that describes the likelihood of obtaining each possible value of a random variable.
A function that describes the probability distribution of a continuous random variable.
A function that describes the probability that a random variable takes on a value less than or equal to a given value.
The average value of a random variable, calculated as the weighted sum of all possible values.
A measure of the joint variability between two random variables.
A measure of relative variability, calculated as the ratio of the standard deviation to the mean.
An estimate of the standard deviation of a sample statistic, indicating the precision of the estimate.
A measure of the proportion of the variance in the dependent variable that can be explained by the independent variable(s).
The differences between the observed values and the predicted values in a regression analysis.
The range between the first quartile and the third quartile, representing the middle 50% of the data.
The average of the absolute differences between each value and the mean of a data set.
The nth root of the product of n numbers, used to calculate the average growth rate or ratio.
The reciprocal of the arithmetic mean of the reciprocals of a set of numbers, used to calculate average rates or ratios.
The average of a set of numbers, where each number is multiplied by a corresponding weight before summing.
The average of a set of numbers after removing a certain percentage of the highest and lowest values.
The average of a set of numbers after replacing a certain percentage of the highest and lowest values with the next highest and lowest values.
Statistical measures that are not greatly affected by outliers or extreme values in a data set.
Statistical measures used to describe the center of a grouped data set, such as the midpoint, mode, or median.
The middle value in a set of numbers, where each number is multiplied by a corresponding weight before arranging in ascending or descending order.
The value that appears most frequently in a set of numbers, where each number is multiplied by a corresponding weight.
The difference between the maximum and minimum values in a set of numbers, where each number is multiplied by a corresponding weight.
A measure of how spread out the values in a data set are, calculated by taking the average of the squared differences from the weighted mean.
A measure of the amount of variation or dispersion in a set of values, calculated as the square root of the weighted variance.
Values that divide a weighted data set into four equal parts, each containing a certain percentage of the total weight.
Values that divide a weighted data set into 100 equal parts, each containing a certain percentage of the total weight.