vocab

Question 1

What is stats

Answer 1

The study of variability

Question 2

What is variability

Answer 2

Differences, how things differ

Question 3

2 branches of AP stats

Answer 3

Inferential and descriptive

Question 4

What are descriptive stats?

Answer 4

tell what you got describing the data

Question 5

What is inferential stats

Answer 5

look at the data and use that to say stuff about the big picture

Question 6

Compare descriptive and inferential

Answer 6

descriptive explains about the data you have inferential uses a small portion to explain the big population

Question 7

what is data

Answer 7

any collected infromation

Question 8

what is population?

Answer 8

the group you are interested in

Question 9

what is a sample?

Answer 9

a subset of the entire pop.

Question 10

compare population and sample

Answer 10

pop is generally large where samples are subsets of these large groups

Question 11

compare data and statistics

Answer 11

data is each little bit collected from the individual where statistic is a summary of that data if only a few samples from the population was collected exp: the mean of a data set

Question 12

compare data and parameters

Answer 12

data is each little bit collected from the individual parameters are if we collected data from every person

Question 13

What is a parameter

Answer 13

a numerical summary of a population

Question 14

what is a statistic

Answer 14

a numerical summary of a sample

Question 15

We are curious about the average wait time at Dunkin donuts drive through in your neighborhood. You randomly sample care one afternoon and find the average wait time is 3.2 minutes. what is the population parameter? what is the statistic? what is the parameter of interest? what is the data?

Answer 15

The parameter is the true average wait time and dunkin. this is a number you dont have and will never know. The statistic is 3.2 minutes. It is the average of the data you collected. The parameter of interest is the same thing as the population parameter. in this case, it is the true average wait time of all cars. the data is the wait time of each individual car, So the would be like “3.8 min, 2.2 min, .8 min, 3 min”. You take that data and find the average, that average is called a statistic, and you use that to make an inference about the true parameter.

Question 16

Compare data-statistic-parameter using a categorical example.

Answer 16

Data are individual measures, Statistics and parameters are summaries.

Question 17

Compare data-statistic-parameter using quantitative example.

Answer 17

Data are individual measures. Statistics and parameters are summaries of the data collected

Question 18

what is a census?

Answer 18

information from every member in a population

Question 19

does a census make sense?

Answer 19

only is small populations

Question 20

what is the difference between a parameter and a statistic

Answer 20

both are summarizing bigger groups of data but parameters come from whole populations and statistics come from samples

Question 21

if i take a random sample of 20 hamburgers from five guys and count the number of pickles on a bunch of them and one of them had 9 pickles the the number 9 from that burger would be called a?

Answer 21

datum or data value

Question 22

if i take a random sample of 20 hamburgers from five guys and count the number of pickles on a bunch of them and the average number of pickles was 9.5 then 9.5 is considered a?

Answer 22

statistic

Question 23

if i take a random sample of 20 hamburgers from five guys and count the number of pickles on a bunch of them and i do this bc i want to know the true average of pickles on a burger the true average number of pickles is considered a?

Answer 23

parameter a one number summary of the population

Question 24

what is the difference between sample and census?

Answer 24

sample is information from a small group of the population where census is information from the entire population.

Question 25

use population, paramte, census, sample, data, statistics, inference and population of inference in one sentence

Answer 25

I was curios about a population parameter, but a census was too costly so i decided to choose a sample, collect some data, calculate a statistic and use that statistic to make an inference about the population parameter AKA population of interest

Question 26

if you are tasting soup the the flaour of each individual thing in the spoon is the _____, the entire spoon is a ____. the flouvor of all of that stuff together is like the _____ and you use that to _____ about the flavour of the entire pot of soup, which would be the _____

Answer 26

Data, Sample. Statistic, Make and inference, Parameter

Question 27

what are random variables?

Answer 27

random people chosen from a list then the hair and eye color, weight and height are random variables

Question 28

difference between quantitative and categorical/Qualitative

Answer 28

Quantitative is using numbers where categorical is using qualities or categories

Question 29

What is the difference between quantitative and categorical/Qualitative

Answer 29

quantitative would use numbers where categorical would use words like eye color or skin tone

Question 30

Difference between discrete and continuous

Answer 30

discrete uses whole number where continuous uses decimal points and fractions

Question 31

what is a quantitative variable

Answer 31

a numerical variable

Question 32

what is a categorical variable

Answer 32

a variable that is categorized

Question 33

another name for categorical

Answer 33

qualitative

Question 34

what is quantitative data?

Answer 34

actual numbers gathered from a data set

Question 35

what is categorical data?

Answer 35

the actual individual category

Question 36

what is a random sample

Answer 36

A sample the a chosen by true randomness

Question 37

what is frequency

Answer 37

How often something appears

Question 38

data or datum?

Answer 38

datum is singular data is plural

Question 39

what is a frequency distribution

Answer 39

a table or chart that shows how often certain values appear

Question 40

what is meant by relative frequency

Answer 40

the percent of of time something appears

Question 41

how do you find relative frequency?

Answer 41

divide frequency by total

Question 42

what is meant by cumulative frequency?

Answer 42

add up the frequencies as you go

Question 43

what is relative cumulative frequency

Answer 43

the added up percentages

Question 44

difference between bar chart and histogram

Answer 44

bar chart are categorical data histograms or quantitative data

Question 45

what is mean?

Answer 45

old average we used to calculate (scrub)

Question 46

difference between population mean and sample mean

Answer 46

population mean is parameter sample mean is statistic

Question 47

what symbols do we use for population mean and sample mean?

Answer 47

Mu for pop x bar for sample

Question 48

how do you remember the difference between mean and median when looking at a histogram

Answer 48

mean is a balancing point median splits it in half

Question 49

what is the median?

Answer 49

the middle most number

Question 50

what is mode?

Answer 50

the most common number

Question 51

when do we use mode?

Answer 51

with categorical variables

Question 52

why don't we always use mean?

Answer 52

it is not resilient its a little bitch

Question 53

When we say "the average teen" are we using mean median or mode?

Answer 53

height=mean parental income=median music preference=mode

Question 54

what is a example of the mean changing but not the median

Answer 54

8 peoples wallets 1, 2, 2, 5, 5, 8, 8, 9 mean is 5 so is median 8 peoples wallets 1, 2, 2, 5, 5, 8, 8, 9000 now mean is over 1000 but median is still 5

Question 55

How are the three m's on a left skewered histogram

Answer 55

Mean median mode

Question 56

how are the three m's on a right skewered histogram

Answer 56

opposite mode median mean

Question 57

who chases the tail?

Answer 57

the mean chases the tail the mean chases the tail high-ho the derry-oh the mean chases the tail... and outliers