semester test unit 1-5 review

Question 1

steps to data analysis

Answer 1

1. collecting data - asking questions
2. describing the data - research and organizing
3. making an inference

Question 2

samples

Answer 2

smaller groups representing a population

Question 3

sampling variability

Answer 3

difference between data from two more samples

Question 4

if sampling variability is…

Answer 4

low = samples are representatives
high = look at other samples or change the way you are selecting samples

Question 5

types of sampling bias

Answer 5

• undercoverage bias
• nonresponse bias
• self-selection bias

Question 6

undercoverage bias

Answer 6

certain number of population is exluded

Question 7

nonresponse bias

Answer 7

only small portion responds

Question 8

self selction bias

Answer 8

people with certain opinions are likely to respond

Question 9

convenience sampling

Answer 9

researchers use an easily available group to form a population

Question 10

simple random sample

Answer 10

each member has an equal chance of being chosen

Question 11

census

Answer 11

all members are included

Question 12

response bias

Answer 12

poorly designed questions affect the answer people give

Question 13

population parameter

Answer 13

piece of data about a characteristic of an entire population

Question 14

primary ways to collect data

Answer 14

1. surveys
2. observational studies
3. experiments

Question 15

stratified random sample

Answer 15

population is broken up into samples and then random samples are taken in each subgroups

Question 16

strata

Answer 16

subgroups

Question 17

clusters

Answer 17

samples divided even more

Question 18

systematic sampling

Answer 18

sampling from population is chose with a pattern

Question 19

ways to design experiments to reduce bias

Answer 19

1. direct control
2. blocking
3. randomization
4. replication

Question 20

direct control

Answer 20

factors being standardized

Question 21

blocking

Answer 21

factors that divide the subjects share characteristics

Question 22

randomization

Answer 22

subjects are chosen randomly

Question 23

repetition

Answer 23

experiments are repeated

Question 24

relative frequency distribution

Answer 24

f/n

Question 25

discrete data

Answer 25

finite number of possibilities

Question 26

continuos data

Answer 26

infinite number of possibilities

Question 27

variance higher

Answer 27

= values in data have a wider spread

Question 28

negatively skewed

Answer 28

= median is greater than mean

Question 29

positively skewed

Answer 29

= mean is greater than median

Question 30

symmetric

Answer 30

= median is the same as mean

Question 31

number of data is being added, subtracted, divided, or multiplied by a constant, the mean will…

Answer 31

change in the same way

Question 32

number of data is being added, subtracted, divided, or multiplied by a constant, the median will…

Answer 32

change in the same way

Question 33

+ or - number from data, the standard deviation…

Answer 33

won’t change

Question 34

x or / number from data, the standard deviation…

Answer 34

will be affected

Question 35

residual

Answer 35

difference between actual y-value and predicted y-value

Question 36

residual is +

Answer 36

point is above the line

Question 37

residual is -

Answer 37

point is below the line

Question 38

residual is 0

Answer 38

point is on the line

Question 39

sum of residuals

Answer 39

must be 0

Question 40

smaller residual =

Answer 40

better model

Question 41

r^2 close to 0 =

Answer 41

least square regression line does not fit the data

Question 42

r^2 close to 1 =

Answer 42

least square regression line fits data

Question 43

lagorithmic equation

Answer 43

log b (a) = c

Question 44

expontential equation

Answer 44

b^c=a

Question 45

common lagorithm

Answer 45

base of 10 (not written)