Math Unit 8 Flashcards

Front 1

a question that leads individuals towards a certain answer

Back 1

biased question

Front 2

a sample not representative of the entire population

Back 2

biased sample

Front 3

the group of individuals or items from which samples are taken

Back 3

population

Front 4

a sample in which every member of the population has an equal chance of being selected; unbiased sample

Back 4

random sample

Front 5

a small part of a population chosen to represent the entire group

Back 5

sample

Front 6

the collection, organization, and analysis of numerical information

Back 6

statistics

Front 7

a sampling of a population used to make predictions

Back 7

survey

Front 8

On a warm, sunny day, would you rather be outside enjoying the beautiful weather or just sitting inside reading a book?

Back 8

biased question example

Front 9

An unbiased question should give no indication as to what the surveyor's answer would be.

Back 9

true

Front 10

A sample is a small group that is used to represent the opinions of the entire group

Back 10

true

Front 11

The entire group is called the population.

Back 11

true

Front 12

every member of the population has an equal chance of being in the sample.

Back 12

true

Front 13

putting all the student's names into a box and drawing out twenty names.

Back 13

example of a random sample

Front 14

Susie surveyed several randomly selected students at school to find out whether they prefer walking, running, swimming, or biking. The results of her survey showed that 8 students prefer walking, 11 prefer running, 14 prefer swimming, and 7 prefer biking. What fractional part of the sample prefers to swim?

Back 14

First, you need to find the total number of students in the sample. To do that, add the students from each of the four groups:
8 + 11 + 14 + 7 = 40

So there are 40 students in Susie's sample and 14 of them prefer to swim. As a fraction, 14/40 or 7/20 would rather swim.

Front 15

Any sample from a group of people will be representative of the entire group.

Back 15

false

Front 16

A biased sample is one in which every member of the group has an equal chance of being chosen.

Back 16

false

Front 17

Biased questioning will probably result in inaccurate survey results

Back 17

true

Front 18

The mean, median, and mode are all measures of central tendency.

Back 18

true

Front 19

the mean median and mode are called measures of central tendency they describe the "center" of the data.

Back 19

true

Front 20

having two modes

Back 20

bimodal

Front 21

ways to describe or summarize data

Back 21

central tendency

Front 22

information (often numerical)

Back 22

data

Front 23

the sum of a set of data divided by the number of items in the set

Back 23

mean

Front 24

the middle value of a set of data arranged in numerical order

Back 24

median

Front 25

the most frequently occurring number(s) in a set of data

Back 25

mode

Front 26

data represented by quantities

Back 26

numerical data

Front 27

The mean is probably the most commonly used measure of central tendency

Back 27

true

Front 28

the mean is found by adding all of the numbers in the set and then dividing by the number of items in the set

Back 28

true

Front 29

the mean = sum of numbers over the number of items

Back 29

true

Front 30

The median is the measure of central tendency that tells you what the middle value of the data is.

Back 30

true

Front 31

The best way to find the median is to line up the data from the smallest value to the largest value. Then find the value that cuts the data into two equal parts.

Back 31

true

Front 32

The median is the middle value of a set of data or the value that cuts the data into two parts.

Back 32

true

Front 33

There can't be two medians in a set of data, so in this case, the mean of the two middle numbers is the median.

Back 33

true

Front 34

The mode is the easiest of the three measures to find

Back 34

true

Front 35

the mode represents the value that occurs most frequently in the set of data

Back 35

true

Front 36

Unlike the median, it is possible to have more than one mode. In fact, it's even possible to have no mode.

Back 36

true

Front 37

The mean, the median, and the mode of a set of numbers can sometimes be equal to each other.

Back 37

true

Front 38

a value that is far removed from the rest of the values in a set of data

Back 38

outlier

Front 39

The only measure that is directly affected by an outlier is the mean

Back 39

true

Front 40

how data is distributed

Back 40

dispersion

Front 41

the difference between the upper quartile and the lower quartile

Back 41

interquartile range

Front 42

median of the lower half of a set of data

Back 42

lower quartile

Front 43

division of data into four equal parts

Back 43

quartile

Front 44

the difference between the largest and smallest data points

Back 44

range

Front 45

median of the upper half of a set of data

Back 45

upper quartile

Front 46

The range of a set of data is the distance, or difference, between the highest value in the set and the lowest value in the set. It shows how far apart the data lie.

Back 46

true

Front 47

range = largest value - smallest value

Back 47

true

Front 48

Is the range affected by outliers?

Back 48

yes

Front 49

put the values in numerical order, then subtract the lower value from the higher value to find the range

Back 49

true

Front 50

upper half of the data is called the upper quartile

Back 50

true

Front 51

the lower half of the data is called the lower quartile

Back 51

true

Front 52

you can also find the range of the upper and lower quartiles. This range is called the interquartile range, and it's the difference between the upper quartile and the lower quartile.

Back 52

true

Front 53

To find the interquartile range:
1.put the set in numerical order;
2.find the median of the data
3.find the median of both the upper and lower halves of the data;
4.subtract the lower quartile from the upper quartile.

Back 53

true