Final Exam Review

group of individuals, objects, or events that we want to know something about

differences between sample statistics and population parameters

If we think a type 1 error is worse, which α do we pick

which of these is NOT another name for α

determines how confident one is that the constructed CI actually includes the Parameter of Interest (ex: 90%, 95%, 99%)

a function of the sample statistic corresponding to the population parameter of interest

the sampling distribution of the test statistic under the condition that the null is true

a characteristic of interest - generally can be Measured for any item in the population or sample

a GROUP of data values for a specific variable for the items in the sample

failing to reject the null hypothesis when the null hypothesis is false

corresponding numerical value summarizing the POPULATION data

a variable/measurement that describes numerical data

the process of using Sample Statistics (like p-hat) to draw conclusions about Population Parameters (like p)

statistic used to measure the degree of linearity between 2 quantitative variables

What is ALWAYS your decision rule

has two (& only two) possible outcomes (think success/failure

Type of variable that describes categorical data

probability of rejecting the null hypothesis when the null is true (ex: α = 0.05)

numerical values or graphical displays used to summarize and describe a set of Sample data

True or False: Binomial Distributions can often be reasonably approximated to a Normal Distribution

rejecting the null hypothesis when the null hypothesis is true

The ______ _______ is the OPPOSITE of the one we would like to validate

quantity or description associated with a specific variable for one element of the population or sample

predicting outside the range of the data used to build the model

subset of the Population and is comprised of the individuals, objects, or events we can observe

Qualitative data that has no inherent order

the ________ ________ is the one we would like to validate

the distribution of sample means is approx. normal as the sample size gets larger

True or False: p-value = P[Observing the value of the Sample Statistic (or more extreme) | H_A is true]

probability of rejecting the null given that the null is false

attempts to evaluate the CHANCE that specific events will occur given knowledge of a population

multiplier * standard error

True or False: standard devition squared is the variance

Which is NOT an aspect of the Central Limit Theorem (CLT)?

If we think a type 2 error is worse, which α do we pick

which of the following is NOT a requirement of a binomial experiment

True of False: Hypotheses are ALWAYS about Population Parameters not sample statistics

the function that translates the outcome of our data to a number (think X ~ ...)

a numerical value summarizing the SAMPLE data

describe the behavior of Statistics across repeated Samples

What kind of variable is this: rolling a fair sided die has the following outcomes: 1, 2, 3, 4, 5, 6