Quiz 1 - Lectures 1 and 2

Question 1

variable

Answer 1

characteristic that changes over time and/or for different people or objects

Question 2

experimental unit

Answer 2

person or object on which variable is being measured

Question 3

Measurement

Answer 3

data value comes when a variable is measured on experimental unit

Question 4

Population

Answer 4

set of all measurements of importance to investigator

Question 5

Sample

Answer 5

subset of measurements selected from population

Question 6

Univariate

Answer 6

1 variable is measure on a single experimental unit

Question 7

Bivariate

Answer 7

2 variable measured on a single experimental unit

Question 8

multivariate

Answer 8

2+ variables measured on a single experimental unit

Question 9

Qualitative

Answer 9

variable measures a quality or characteristic

Question 10

quantitative

Answer 10

variable measures a numerical quantity or amount

Question 11

Discrete

Answer 11

variable can assume only countable number of values, finite

Question 12

Continuous

Answer 12

variable can assume any value within an interval

Question 13

statistical table

Answer 13

list of categories and measure of how often each value occured (frequency)

Question 14

Data Distribution

Answer 14

a graph

Question 15

Categorical

Answer 15

Categorical and qualitative are exchangeable

Question 16

Frequency

Answer 16

number of measurements in each category

Question 17

relative frequency

Answer 17

proportion of measurements in each category

Question 18

percentage

Answer 18

relative frequency x 100%

Question 19

the sum of frequencies…

Answer 19

is always n (the total # of measuremtns in set)

Question 20

the sum of relative frequency…

Answer 20

is always 1

Question 21

the sum of percentages…

Answer 21

is always 100%

Question 22

when qualitative variable, categories should be chosen so measurements will fall into…

Answer 22

1 and only 1 category

Question 23

when qualitative variable, categories should be chosen so each measurement has…

Answer 23

1 category to fall into

Question 24

Time series

Answer 24

data set that forms when a quantitative varible is recorded over time at equally spaced intervals

Question 25

line chart

Answer 25

best data distribution for time series

Question 26

trend

Answer 26

pattern used to make a prediction about the future

Question 27

dotplot

Answer 27

the simplest graph for quantitative data

Question 28

Class

Answer 28

subinterval created when you divide up an interval from smalles to largest measurements

Question 29

Class boundaries

Answer 29

numbers that create upper and lower limits of class

Question 30

Class width

Answer 30

difference between upper and lower class boundaries

Question 31

class frequency

Answer 31

number of measurements falling into that particular class

Question 32

the number of classes in a relative frequency histogram

Answer 32

usually 5 to 12

Question 33

more data =

Answer 33

more classes

Question 34

With this data you must assign 1 class for each integer value for a histogram

Answer 34

discrete data

Question 35

location

Answer 35

center of data cloud

Question 36

shape

Answer 36

spread of distribution

Question 37

skewed to the right

Answer 37

greater proportion of measurements lie to the right of the peak, contains a few unusually large measurements

Question 38

skewed to the left

Answer 38

greater proportion of measurements lie to the left of the peak, contains a few unusually small measurements

Question 39

unimodal

Answer 39

1 peak

Question 40

bimodal

Answer 40

2 peaks, often represents a mix of 2 different populations in data set

Question 41

uniform

Answer 41

heights are the same for each class