2.4-guided-notes - Bryant Middle School
... As a measure of variation, the range is very easy to compute. However, it only uses two values from the data set, and it’s possible that one, or both of the values, are _______________. Two measures of variation that use ______ the entries in a data set are the _________________ and the ____________ ...
... As a measure of variation, the range is very easy to compute. However, it only uses two values from the data set, and it’s possible that one, or both of the values, are _______________. Two measures of variation that use ______ the entries in a data set are the _________________ and the ____________ ...
Classical Tests
... • The data used to carry out the test should be sampled independently from the two populations being compared. This is in general not testable from the data, but if the data are known to be dependently sampled (i.e. if they were sampled in clusters), then the classical t-tests discussed here may giv ...
... • The data used to carry out the test should be sampled independently from the two populations being compared. This is in general not testable from the data, but if the data are known to be dependently sampled (i.e. if they were sampled in clusters), then the classical t-tests discussed here may giv ...
Introduction to Statistics
... ◊ Conditional probability: Mutually exclusive events ◊ Conditional probability: Independent events ♦ Random Variables and Distributions (8 topics) ◊ Cumulative distribution function ◊ Rules for expectation and variance of random variables ◊ Marginal distributions of two discrete random variables ◊ J ...
... ◊ Conditional probability: Mutually exclusive events ◊ Conditional probability: Independent events ♦ Random Variables and Distributions (8 topics) ◊ Cumulative distribution function ◊ Rules for expectation and variance of random variables ◊ Marginal distributions of two discrete random variables ◊ J ...
Class1
... drawn. For example, we may conclude that there are 75% of the students reaching minimal proficiency standard, when, in the population, there are actually 80%. Whether this difference (between the estimated and the actual parameter values) matters or not, it depends on the purposes of using these num ...
... drawn. For example, we may conclude that there are 75% of the students reaching minimal proficiency standard, when, in the population, there are actually 80%. Whether this difference (between the estimated and the actual parameter values) matters or not, it depends on the purposes of using these num ...
