AP Stats Chapter 4 Vocab

gender gap, economic status, gpa, backgrounds, age etc..

weather, sports

all together

gathering EVERYONE in the population

(everyone in the COUNTRY) everyone everyone*

smaller survey population-→ from these we can find the parameter easier

#’s you can do meaningful with… height, age, distance, gpa, body temp

gender, religion, area code, zip

Anything that you can count

anything that you can measure with the use of a tool

missed by the method, (people who don’t check their mail, or it gets lost)

choosing not to respond to a survey- voluntarily

expected, differs everyday, the data will be changed

this study has no effect on the outcome

adding treatment to the experiment, seeing if there is RELATIONSHIP

what DIRECTION**

names in a hat; random number generator, -→ until the desired number is picked as the survey population

flip a coin 50%, use a dice for even and odd-→ anything to randomly assign the group of people divided into an experiment

COMPARE THE RESULTS OR OVERALL SCORE AVERAGE

A survey method that lists out the survey population and then starts from a random number/name on the list and moves every nth of the way down until desired number of people are picked

1. group the population by some means 2. pick all from some of the groups ex: there are 5 rows you choose all of the first 3 rows as your survey population

1. group the population by some means 2. pick some from all of the groups ex: there are 5 rows and you pick 2 from each (fe) until you get your desired amount of participants

applying a conclusion to the study that is over reaching the population -→ ex: all of Florida when only talking about Pinellas County

using very persuasive techniques to get a difficult answer form the person responding-→ do you still like dogs?

most of the time a call in poll, or an optional survey where the STRONGEST OPINIONS ARE EMPHASIZED

Where the person asking the survey could in some way change the outcome of the survey

multiple factors and your not sure of the TRUE FACTOR causing the real results→ weight pills, tom brady

When there is a lot of variation as well as undercoverage and voluntary response (the big red flags of an experiment)

lying, biased methods, human calculation errors, non-responsive

just blinding one person in the experiment so there is a less likely chance of bias-- test giver or tested doesn’t know which treatment they are doing

When the tester and people tested are both unaware of which treatment is given or taken

the baseline treatment that is the control variable, placebo effect is when there are more positive results with the placebo treatment

What is causing the reaction?

What may happen?

What is being done? (verb)

to what population

What are we giving or doing? (most likely the treatment)

What are the measurements (all #’s)

making obvious groups to break down our study--→ gender blocking (VERY BIG)

where people in the experiment are matched with one another based on a key characteristic, and then are compared against other people at the end of the experiment to see a difference.