Summer Work Vocabulary

Question 1

Individuals

Answer 1

Objects described by a set of data. Individuals may be people, animals, or things.

Question 2

Variable

Answer 2

Any characteristic of an individual. A variable can take different values for different individuals.

Question 3

Categorical variable

Answer 3

Places an individual into several groups or categories.

Question 4

Quantitative variable

Answer 4

takes numerical values for which it makes sense to find an average

Question 5

Distribution

Answer 5

The distribution of a variable tells us what values the variable takes and how often it takes these values.

Question 6

Marginal distribution

Answer 6

The marginal distribution is one of the categorical variables in a two-way table of counts is the distribution of values of that variable among all individuals described by the table.

Question 7

Conditional distribution

Answer 7

A conditional distribution of a variable describes the values of that variable among individuals who have a specific value of another variable. There’s a separate conditional distribution for each value of the other variable

Question 8

Association

Answer 8

We say that there is an association between two variables if knowing the value of one variable helps predict the value of the other. If knowing the value of one variable does not help you predict the value of the other and there’s no association between the variables.

Question 9

Symmetric

Answer 9

A distribution is roughly symmetric if the right and left sides of the graph are approximately mirror images of each other

Question 10

Skewed right

Answer 10

A distribution is skewed to the right if the right side of the graph (containing half of the observations with Larger values) is much longer than the left side

Question 11

Skewed left

Answer 11

A distribution is skewed to the left if the left side of the graph is much longer than the right side.

Question 12

Median

Answer 12

The median is the midpoint of distribution, the number such that about half the observations are smaller and about half are larger.

Question 13

Five number summary

Answer 13

The five number summary of a distribution consists of the smallest observation, the first quartile, the median, third quartile, and the largest observation, written in order from the smallest to largest.

Question 14

Standard deviation

Answer 14

The standard deviation measures the typical distance of the values in a distribution from the mean. It is calculated by finding an average of the square deviation and then taking the square root.

Question 15

Variance

Answer 15

This average square deviation is called the variance

Question 16

Discrete variable

Answer 16

It’s a variable can take on any value between it to a minimum value and its maximum value it is called a continuous variable otherwise it is called a discreet variable.

Question 17

Continuous variable

Answer 17

It’s a variable can take on any value between it to a minimum value and its maximum value it is called a continuous variable otherwise it is called a discreet variable.

Question 18

Univariate data

Answer 18

When we conduct a study that looks at only one variable, we say that we are working with univariate data. Suppose, for example, that we conducted a survey to estimate the average weight of high school student. Since we are only working with one variable wait we will be working with univariate data.

Question 19

Bivariate data

Answer 19

When we conduct a study that examines the relationship between two variables we are working with bivariate data. Suppose we conducted a study to see if there were a relationship between the height and weight of high school students. since we are working with two variables will be working with bivariate data.

Question 20

Population

Answer 20

In statistics, population refers to the total set of observations that can be made

Question 21

Sample

Answer 21

A sample refers to a set of observations drawn from a population.

Question 22

Census

Answer 22

A census is a study that obtains data from every member of a population. In most studies, a census is not practical, because of the cost and or time required.

Question 23

Frequency table

Answer 23

When I table shows frequency counts for a categorical variable, it is called a frequency table.

Question 24

Relative frequency table

Answer 24

When I tableservice relative frequency is for different categories of a categorical variable, it is called a relative frequency table.

Question 25

Bar graph

Answer 25

A bar chart is made up of columns or rows put it on a graph.

Question 26

Two-way table

Answer 26

A two-way table is a useful tool for examining relationships between categorical Variables. The entries in the cells of a to a table can be frequency count or relative frequency’s.

Question 27

Dot plot

Answer 27

A dart pot is a type of graphic Display used to compare frequency counts within categories or groups. As you might guess, adopt light is made up of dots put it on a graph.

Question 28

Mode

Answer 28

The mode is the most frequently appearing value in a population or sample.

Question 29

Range

Answer 29

The range is a simple measure a variation in a set of random variables. It is the difference between the biggest and small this random variable

Question 30

Outlier

Answer 30

In regression analysis, a data point that the verge is greatly from the overall pattern of data it’s called an outlier.

Question 31

Unimodal

Answer 31

Distributions of data can have few or many peaks. Distributions with one clear peak are called unimodal.

Question 32

Bimodal

Answer 32

distributions with two clear peaks are called by bimodal.

Question 33

Stemplot

Answer 33

A stemplot is used to display quantitative data generally from small data sets.

Question 34

Histogram

Answer 34

A histogram is made up of columns flooded on a graph.

Question 35

Mean

Answer 35

A mean score is an average score, often do denoted by X. It is the sum of individual scores divided by the number of individuals.

Question 36

Interquartile range

Answer 36

The IQR is a measure of variability based on dividing a data set into quartiles.

Question 37

Boxplot

Answer 37

Box fight sometimes called a box and whisker plot is the type of graph used to display patterns of quantitative data.

Question 38

Inference

Answer 38

A conclusion reached on the basis of evidence and reasoning.

Question 39

Roud off error

Answer 39

Round off error is the difference between an approximation of a number used in computation and it’s exact correct value.

Question 40

Pie chart

Answer 40

A pie chart is a circular statistical graph which is divided into slices to illustrate numerical proportion.

Question 41

Segmented bar graph

Answer 41

A graph of frequency distribution for a categorical data set. Each category is represented by a segment of the bar and the segment is proportional to the corresponding frequency or relative frequency.

Question 42

Side by side bar graph

Answer 42

In a side-by-side bar chart for segments our place next to each other that way you can easily compare Heights.

Question 43

Simpson’s paradox

Answer 43

Simpsons paradox is a phenomenon in probability and statistics in which a trend appears in several groups of data but disappears or reverses when groups are combined.

Question 44

Shape

Answer 44

Shape describes the distribution or pattern of the data within a dataset.

Question 45

Center

Answer 45

The center is the median and or mean of the data.

Question 46

Spread

Answer 46

Spread is the range of the data.

Question 47

Multimodal

Answer 47

Characterized by several modes of activity or occurrence. Having several modes or Maxima.

Question 48

Splitting stems

Answer 48

Split stems is a term used to describe stem and leaf plot that have more than one space on the stand for the same interval.

Question 49

Back to back stem plot

Answer 49

A graphic option for comparing data from two populations.