flashcards

Question 1

statistics

Answer 1

the study of variability

Question 2

variability

Answer 2

how things differ

Question 3

2 branches of statistics

Answer 3

inferential and descriptive

Question 4

descriptive statistics

Answer 4

describing date using charts, graphs, pictures, means median ect.

Question 5

inferential statistics

Answer 5

using your collected data to infer about a bigger picture

Question 6

comparing descriptive and inferential

Answer 6

Descriptive explain about the data that you have, inference uses that data you have to try to say something about an entire population

Question 7

data

Answer 7

information collected

Question 8

population

Answer 8

group you are interested in collecting data from

Question 9

sample

Answer 9

part of the population that you collect data from to make an inference about the big population statistics are calculated from samples

Question 10

compare sample and population

Answer 10

sample is part of the population both are groups but samples are a portion of the population

Question 11

compare data and statistics

Answer 11

data is individual information and statistics is like a mean median or mode of a sample

Question 12

compare data and parameters

Answer 12

data is individual information and parameters are data summaries from a population

Question 13

parameter

Answer 13

a numerical summary of populations like median modes or means

Question 14

statistic

Answer 14

a numerical summary of a sample like median modes or means

Question 15

We are curious about the average wait time at a Dunkin Donuts drive through in your neighborhood. You randomly sample cars 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 at that Dunkin Donuts. This is a number you don’t 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 that 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 categorical example

Answer 16

Data are individual measures… like meal preference: “taco, taco, pasta, taco,
burger, burger, taco”… Statistics and Parameters are summaries. A statistic would be “42% of sample preferred tacos” and a parameter would be “42% of population preferred tacos.”

Question 17

Compare DATA-STATISTIC-

PARAMETER using quantitative example

Answer 17

Data are individual measures, like how long a person can hold their breath: “45 sec, 64 sec, 32 sec, 68 sec.” That is the raw data. Statistics and parameters are summaries like “the average breath holding time in the sample was 52.4 seconds” and a parameter would be “the average breath holding time in the population was 52.4 seconds”

Question 18

census

Answer 18

data collected from every person in a population

Question 19

when to use a census

Answer 19

a census should be used on smaller population like grade or family not the entire US population

Question 20

compare parameter and statistic

Answer 20

numerical summaries of data but a parameter comes for a population and statistic comes from a sample