Stats exam one vocab

0.0(0)
studied byStudied by 0 people
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
Card Sorting

1/45

encourage image

There's no tags or description

Looks like no tags are added yet.

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

46 Terms

1
New cards

Individual

objects described by a set of data (could be a animal, person, or thing)

2
New cards

Variable

any characteristic of a individual

3
New cards

what are the two types of variables?

Numerical and Categorical

4
New cards

Discrete (Numerical)

Not able to take all possible real numbers in a reasonable range

5
New cards

Continuous (Numerical)

Able to take all possible real numbers in a reasonable range

6
New cards

Categorical

any variable that is not numerical

7
New cards

Nominal (categorical)

no real value in the order of categories

8
New cards

Ordinal (categorical)

There is meaningful order among the categories

9
New cards

What graphs are used for categorical variables?

bar graphs and pie charts

10
New cards

What graphs are used for numerical variables?

Stem leaf plot and histrogram

11
New cards

How to find mean

add up all the numbers, then divide by how many numbers there are

12
New cards

Median

The midpoint of distribution, it is the sample size plus 1 divided by two

13
New cards

Is mean or median resistant?

The median is resistant because it will be the same no matter what. The mean is NOT resistant because it will change based on the numbers in the value set

14
New cards

Is standard deviation resistant?

The standard deviation is NOT resistant

15
New cards

First quartile

the median of the lower half of the data set

16
New cards

Third quartile

the median of the upper half of the data set

17
New cards

5 number summary

min, Q1, median, Q3, max

18
New cards

Are quartiles resistant measures?

Quartiles are resistant

19
New cards

Inner Quartile Range (IQR)

the distance between Q1 and Q3. To find it subtract Q3-Q1

20
New cards

1.5 IQR rule

used for identifying outliers: any values that are more than 1.5 times the IQR lower than the first quartile or higher than the third quartile are called outliers

21
New cards

Scatterplot

a graphed cluster of dots, each of which represents the values of two variables

Explanatory variables go on the X axis and Response variables go on the Y axis

22
New cards

What does correlation (r) measure?

Correlation measures the degree of relationship between two or more variables

23
New cards

what does r tell us?

Whether there is a linear relationship between two variables, what direction the relationship is (positive or negative), and how strong the relationship is.

R is not resistant
R is not affected in the changing of number of units

24
New cards

Population

the entire group of individuals we want to know about

25
New cards

Sample

a part of the population we actually collect information from

26
New cards

Parameter

a number that describes the population

27
New cards

Statistic

A number that can be computed from sample data without using any unknown parameters

28
New cards

Sampling design

describes exactly how to choose a sample from the population

29
New cards

Bias

the design of a statistical study is biased if it systematically favors a outcome

30
New cards

Convince sample

easy to reach

31
New cards

Voluntary response sample

voluntary by individual

32
New cards

simple random sample

n individual from a population chosen in a way so that every set of n individuals has an equal an equal chance of the sample n being selected

33
New cards

Inference

A conclusion reached on the basis of evidence and reasoning

34
New cards

Observational study

observes individuals and measures variables of interest but does not attempt to influence the responses

35
New cards

Experiment

deliberately oppose some type of treatment on individuals to influence their response

36
New cards

Response variable

measures an outcome of a study

37
New cards

explanatory variable

A variable that helps explain or influences changes in a response variable.

38
New cards

Terms for experiments

subjects, factors, treatments, statistical significance

39
New cards

Subjects

individuals studied in an experiment

40
New cards

Factors

explanatory variables of experiments

41
New cards

treatments

any specific experimental condition applied to the subjects

42
New cards

Random

if individual outcomes are uncertain but there is nonetheless a regular distribution of outcomes in a large number of repetitions

43
New cards

Probability

the portion of times the outcome would occur in a very long series of reptation

44
New cards

Sample space

the set of all possible outcomes

45
New cards

Event

a set of outcomes, it will be a subset of the sample space

46
New cards

Discrete vs. Continuous Variables

discrete variables will be a list in a sample space and its probabilities whereas continuous variables are on a density curve and will occur under the umbrella of a density curve