Exam #1 Review

Question 1

What is nominal data?

Answer 1

Unordered data meaning that order and magnitude are not important

Question 2

What is ordinal data?

Answer 2

Ordered data meaning that difference between values don’t always have meaning

Question 3

What is discrete data?

Answer 3

Numbers are measured quantities. Quantites are restricted to specify values (integers or counts). Can also be summarized like 2.7 kids/household

Question 4

What is continuous data?

Answer 4

Numbers are not restricted. Ex: temperature

Question 5

Types of data:

Height and parent height (in inches)

Answer 5

Continuous

Question 6

Types of data:

Resting heart rate?

Answer 6

Continuous

Question 7

Types of data:

More education or get a job?

Answer 7

Nominal

Question 8

Types of data:
Pet preference (dog, cat)

Answer 8

Nominal

Question 9

Types of data:

Shoe size?

Answer 9

Discrete

Question 10

Types of data:

Level of importance (very, somewhat, not important)?

Answer 10

Ordinal

Question 11

Types of data:

Hours of sleep per night?

Answer 11

Continuous

Question 12

Types of data:

Early or late

Answer 12

Nominal

Question 13

Types of data:

Number of siblings?

Answer 13

Discrete

Question 14

Types of data:

Ounces of caffeinated beverages?

Answer 14

Continuous

Question 15

Types of data:
Political party (democrat, republican, other, none)

Answer 15

Nominal

Question 16

Types of data:
Quantitative skills (1-10)

Answer 16

Ordinal/discrete

Question 17

Types of graphs used for nominal and ordinal data?

Answer 17

Bar graph and pie chart

Question 18

Types of graphs used for continuous or discrete data?

Answer 18

Histogram, box plot, scatterplot

Question 19

Types of data:

Level of pain (minimal, moderate, severe)

Answer 19

Oridinal

Question 20

Types of data:

Shoe length?

Answer 20

Continuous

Question 21

The risk or chance that a particular event will occur?

Answer 21

Probability

Question 22

The ________ of an event A, denoted by Ā, consists of all outcomes in which event A does not occur

Answer 22

Complement

Question 23

3 operations of events can occur with probability:

Answer 23

Intersection
Union
Complement

Question 24

What is intersection of A and B?

Answer 24

Both A and B occur (A ∩ B)

Question 25

What is union of A and B?

Answer 25

Either A or B or both occur (A U B)

Question 26

What is complement of A (Ā)?

Answer 26

The probability A does NOT occur

Question 27

What is a mutually exclusive event?

Answer 27

Two events that cannot occur simultaneously (ex: cannot get heads and tails from flipping one coin)

Question 28

What are not mutually exclusive events?

Answer 28

Two events that CAN occur simultaneously (ex: flipping two coins and getting both heads)

Question 29

What is an independent event?

Answer 29

The occurence of event A does not affect whether B occurs

Question 30

True or false: | Independent events and mutually exclusive events are not the same thing.

Answer 30

True

Question 31

Independent event or mutually exclusive event? If A occurs, then B is not affected.

Answer 31

Independent event

Question 32

Independent event or mutually exclusive event? If A occurs, B CANNOT occur.

Answer 32

Mutually exclusive event

Question 33

The ________ ________ is the probability event B will occur given that event A has already occurred.

Answer 33

Conditional probability | P(A ∩ B)) / P(A

Question 34

Measures of central tendency include:

Answer 34

Mean, median, mode

Question 35

Measures of dispersion spread include:

Answer 35

Range, interquartile range, variance or standard deviation

Question 36

Ways continuous data can be distributed include:

Answer 36

Symmetric Bimodal Skewed

Question 37

Expresses the relationship between mean and SD by showing the amount of variability in relation to size of mean.

Answer 37

Coefficient of Variation (CV)

Question 38

What is any characteristic that can be measured or categorized?

Answer 38

Variable

Question 39

A _______ ________ is a variable that can take on either a finite number of values (each with an associated probabilty) or an infinite number of values whose probabilites are summarized by a density function.

Answer 39

Random variable

Question 40

Type of distribution that includes a variable that can take on a finite number of values (each with an associated probabilty). An example of this is rolling a die.

Answer 40

Binomial distribution

Question 41

Type of distribution that includes a variable with an infinite number of values whose probabilities are summarized by a density funtion. An example of this is height in U.S. population.

Answer 41

Normal distribution

Question 42

Assumptions that must be met when using the binomial distribution include:

Answer 42

1. ) There are a fixed number of trials n, each of which results in one of two mutually exclusive outcomes. 2. ) The outcomes of the n trials are independent. 3. ) The probability of success p is constant of each trial