ap stats Flashcards

1
Q

what is stats

A

the study variability

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2
Q

variability

A

how things differ

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3
Q

what are the 2 branches of AP stats

A

inferential and descriptive

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4
Q

inferential

A

using a small sample to tell about the whole thing

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5
Q

descriptive

A

describe the data

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6
Q

compare inferential and descriptive

A

one describes while the other uses the data

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7
Q

data

A

any collected information

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8
Q

population

A

the group you’re interested in

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9
Q

sample

A

a subset of a popluation

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10
Q

compare population and ssmple

A

we take samples to find data for the population

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11
Q

compare data and stats

A

use the data to make a stat

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12
Q

parameter

A

a numerical summery of a popluation

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13
Q

a statistic

A

a numerical summery of a sample

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14
Q

census

A

sample of an entire population

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15
Q

if i take a random sample of 20 burgers from FIVE GUYS and count the number of pickles on a bunch of them… and one of them had 9 pickles, then the number 9 from that burger would be called

A

a datum, or a data value

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16
Q

if i take a random sample 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

A

statistic

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17
Q

if i take a random sample 20 hamburgers from FIVE GUYS and count the number of pickles on a bunch of them… and i do this because i want to know the true average number of pickles on a burger at FIVE GUYS, the true average number of pickles is considered

A

parameter

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18
Q

difference between a sample and cencus

A

sample is small part while census is the whole,

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19
Q

use the words population, parameter, census, sample, data, statistics, inference, population of interest.

A

i was curious 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

20
Q

the flavor of each individual thing in the spoon is the_, the entire spoon is the__, the flavor of all of that stuff together is like the_, and you use that to the entire pot of soup, which would be the __.

A

data, sample, stat, make an inference, parameter.

21
Q

random variables

A

random chosen things

22
Q

difference between quantitative and categorical variables

A

numerical vs catigorical

23
Q

quantitative variable

A

numerical variable

24
Q

categorical variable

A

like catigories

25
Q

another name for categorical variable

A

qualitative

26
Q

quantitative data

A

actual numbers from gathered from subjects

27
Q

categorical data

A

individual category from a subject

28
Q

random sample

A

random, like rolling dice

29
Q

frequency

A

how often something comes up

30
Q

data or datum

A

table or chart that shows how often certain values or categories occur in a data set.

31
Q

relative frequency

A

the percent of time something comes up

32
Q

how do you find relative frequncey

A

divide frequency by total

33
Q

what is meant by cumulative frequency

A

add the frequency’s as you

34
Q

relative cumulative frequency

A

addded up percentages

35
Q

differences of chart and histogram

A

categorical data vs quantitative

36
Q

mean

A

average used to calculate

37
Q

symbols used for poplulation mean and sample mean

A

Mu and x-bar

38
Q

how to know mean vs median on histogram

A

balancing point vs the middle

39
Q

what is the median

A

middle number

40
Q

mode

A

most common number

41
Q

when do we use mode

A

with categorical variables

42
Q

why not always use mean

A

its not resilient

43
Q

when saying the average teen what are we talking about

A

depends on the stat

44
Q

how are mean, median, and mode positioned in a histogram skewed left

A

goes from left to right

45
Q

how are mean, median, and mode positioned in a histogram skewed righ

A

right to left

46
Q

who chases the tail

A

the mean chases the tail