Summer Vocab Flashcards

1
Q

What is variability

A

Differences.. variabilities are everywhere everyone’s different, stats look at these differences

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2
Q

What are 2 branches of AP stats

A

Inferential and descriptive

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3
Q

What are DESCRIPTIVE STATS

A

Describe the data that you collected, use pictures or summaries like mean median and mode

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4
Q

What are INFERENTIAL STATS

A

Use your data to describe the BIG PICTURE, a sample can tell you about the whole population

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5
Q

What is data

A

Any collected information, ex it could be a survey: yes yes no yes no no, color of eyes: blue green drown green green

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6
Q

What is the population

A

The group of interest

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7
Q

What is a sample

A

A portrait on of the population, we take samples to make inferences ab pop. We use statists to estimate parameters

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8
Q

Data vs statistics

A

Data is the little bits of info from the subjects the individual things we collect- statistics is when you summarize them, by using mean for ex

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9
Q

Data vs parameters

A

Data little bits of the individual subjects- parameters is when u have data from each member of the entire pop., summary

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10
Q

Parameter vs statistic

A

Parameters Is a numerical summary of a pop. Like mean median range-statistic is the same but summary of a sample

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11
Q

Categorical example of DATA STAT PARAMETER

A

Ex meals preferences
Data-“taco taco pizza”
Statistics and parameter- s:”42% of Sample was52.4 sec “
P: “42% of pop preferred tacos

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12
Q

Compare data-statistics-parameter using quantitive ex

A

Data are individual measures like how long u can hold ur breath

Raw data- “50sec, 58sec, 32sec,60sec”
Stays&parameters- s:”42% of a sample preferred tacos” P: “42% of pop preferred tacos”’
Parameter- “the average breath holding tune in the pop. Was 52.4sec”

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13
Q

What Is a census

A

Sample of entire pop, you get information from every member of the pop

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14
Q

Does a census make sense

A

Census is okay for small pops but impossible if u have a huge pop like “all US teens”

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15
Q

If I take a random sample of 20 hamburgers from five guys and count the # 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

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16
Q

If I take random sample of 20 hamburgersfrom five guys in Count the number of pickles on a bunch of them… and the average number of pickles was 9.5, what’s 9.5?

A

Statistic (summery of a sample)

17
Q

If I take random sample of 20 hamburgersfrom five guys in Count the number of pickles on a bunch of them… and I do this bcuz I want to know the true average # of pickles on a burger at FIVE GUYS, that number is a ______?

A

Parameter, a one number summary of the pop.

18
Q

What are random variables

A

If you randomly choose people from a list l, then all the physical characteristics would be considered random

19
Q

What is frequency

A

How often something comes up

20
Q

What is a frequency distributional

A

A table, chart, show how valued or categories occur in a data set

21
Q

What is meant by relative frequency and how do u find it

A

The percent of time something comes up (frequency/total)

I

22
Q

What is Meant by cumulative frequency

A

ADD up the frequencies as you go. Suppose you are selling 25 pieces of candy. You sell 10 the first hour, 5 the second, 3 the third and 7 in the last hour, the cumulative frequency would be 10, 15, 18, 25

23
Q

What is the mean?

A

the old average we used to calculate. It is the balancing point of the histogram

24
Q

What’s the difference between mean and sample mean

A

opulation mean is the mean of a population, it is a parameter, sample mean is a mean of a sample, so it is a statistic. We use sample statistics to make inferences about population parameters

25
Q

What is the median

A

The middlest number, it splits area in half (always in the POSITION (n+1)/2 )

26
Q

What is the mode

A

the most common, or the peaks of a histogram. We often use mode with categorical data

27
Q

When do we often use mode

A

With categorical variables. For instance, to describe the average teenagers preference, we often speak of what “most” students chose, which is the mode. It is also tells the number of bumps in a histogram for quantitative data (unimodal, bimodal, etc.)

28
Q

When we say “the average teenager” 42 are we talking about mean, median, or more

A

depends, if we are talking height, it might be the mean, if we are talking about parental income, we’d probably use the median, if we were talking about music preference, we’d probably use the mode to talk about the average teenager.