Stats: Modeling the World - Part 5 Vocabulary

• Sample proportion

• Sampling distribution

• Sample mean

• Standard error

The sampling distribution model of the sample mean or proportion from a random sample is approximately Normal for large n, regardless of the distribution of the population, as long as the observations are independent

• Sampling Variability

• Null hypothesis

• Central Limit Theorem

• Standard error

Tags

CCSS.6.SP.A.3

Estimating the standard deviation of a sampling distribution using statistics found from the data

• Sampling variability

• Standard error

• Effect size

• Confidence Interval

In a confidence interval, the extent of the interval on either side of the observed statistic value - found by multiplying a critical value of the sampling distribution and the standard error.

• Sample proportion

• Standard deviation of a mean

• Significance level

• Margin of error

Tags

CCSS.HSS.IC.B.4

Based upon the hypothesis that the proportion is the same in two different groups, we estimate the common proportion by combining the data from our two samples

• Power

• Standard error

• Pooling

• Sample proportion

Tags

CCSS.HSS.IC.B.4

The difference between the null hypothesis value and the true value of a model parameter

• Standard error

• Effect size

• Significance Level

• P-value

Rejecting a null hypothesis when in fact it is true

• Type I Error

• Type II Error

• Power

• Alternate hypothesis

Tags

CCSS.HSS.IC.B.3

When the P-value falls below the alpha level

• Statistically significant

• Sampling variability

• Power

• Effect size

Tags

CCSS.6.SP.A.2

• P-value

• Alpha level

• Critical Value

• Power

The difference we expect to see from one random sample to another

• Sampling distribution

• Margin of Error

• Sampling variability

• Effect size

Tags

CCSS.HSS.IC.B.4