2 Flashcards

1
Q

Compare Data-Statistic-Parameter using quantitative example

A

Data are individual measures, like how long a person can hold their breath “45sec, 64sec, 32sec, 68sec” that is the raw data. Statistics and parameters are summaries like the “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”

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is a census?

A

Like a sample of the entire population, you get information from every member of the population

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Does a census make sense?

A

A census is ok for small populations(like Mr. Nystrom’s students) but not a good idea when the population is “all US teens”. In that case, a census would be expensive, time consuming, and almost impossible. But if you are ordering pizza for five people, you won’t randomly ask two of them and base your order. Five is small enough to take a census and get a good order that will make all happy.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is the difference between a parameter and a statistic?

A

pppp parameters come from pppp populations… sss statistics come from ssss samples

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Compare Data-Statistic-Parameter using categorical example

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is the difference between a sample and a census?

A

With a sample, you get information from a small part of the population, in a census, you get information from the entire population.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What are random variables?

A

Variables whose values are determined by chance… like, if you randomly choose a student, his hair color is a random variable, so is his weight and the diameter of his eyeball and whether or not he likes scones.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What is the difference between quantitative and qualitative(categorical)?

A

Quantitative are numerical measures, like height and IQ. Qualitative are qualities, or categorical, like eye color, left handedness. The raw data gives a hint. Categorical: “red, red, blue, blue”; Quantitative: “4,5,3,7,8,8”

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What’s the difference between discrete and continuous variables?

A

Discrete can be courted, like “number of cars sold” they are generally integers, while continuous can be any value, like someone’s height “6.343 ft tall”

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is a quantitative variable?

A

Quantitative are numeric, like: height, age, number of cars sold, SAT score

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is a categorical variable?

A

Qualitative variables are like categories: Blonde, listens to hip hop, female…. etc

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What do we sometimes call a categorical variable

A

Qualitative

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What is a continuous variable

A

Continuous can take on any value(along a continuum), like age 14.237 years old.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What is a discrete variable

A

Discrete are generally countable(integers). Like SAT score, IQ, number of days absent. There is no 611.3 SAT Verbal score.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is a random sample?

A

When and appropriate randomizing procedure is used to choose a sample.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly