Topic 2 (Summarizing Distributions)

0.0(0)
studied byStudied by 0 people
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
Card Sorting

1/16

encourage image

There's no tags or description

Looks like no tags are added yet.

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

17 Terms

1
New cards

mean (x with a line over it)

an arithmetic range

2
New cards

median (M)

the middle of a set of data when arranged in order from least to greatest

3
New cards

quartiles

segments of the data in groups of 25% intervals

4
New cards

Parameter

a characteristic or measure obtained by using all the data values for a specific population

5
New cards

variability

a numerical summary of a distribution reporting its center and spread

6
New cards

5 number summary

a useful numerical description of data contained in the set ( Min, Q1, M, Q3, Max )

7
New cards

box plot

the graph of the distribution of numbers contained in the 5 number summary

8
New cards

statistic

a characteristic or measure obtained by using the data values from a sample

9
New cards

outlier

an observed value that is more than (1.5 x IQR) below Q1 or above Q3; anything that does not meet the overall pattern

10
New cards

modified boxplot

a boxplot that plots outliers as isolated points

11
New cards

degrees of freedom (n-1)

the number of free choices left after a sample statistic is calculated

12
New cards

variance (s^2)

the average of the squares of the deviations of the observations from their mean

13
New cards

standard deviation

measures spread by looking at how far the observations are from the mean

14
New cards

interquartile range (IQR)

the difference between Q3 and Q1, which is 50% of the data distribution

15
New cards

resistant

the non-changing characteristic of the median in response to a change of extreme observations

16
New cards

range

the difference from the largest and smallest observations (full spread of data)

17
New cards

non-resistant

the mean is sensitive to the influence of extreme observation