Algebra 1 Common Core Student Edition, Grade 8-9

Ch ap t er Rev i ew

Connecting B IG ideas and Answering the Essential Questions

■s

l.D at a Collection and

Analysis

When you collect data,

you should use a sam pling

technique free o f bias. You

can use standard measures

to describe data sets and

make estimates, decisions,

or predictions.

Data Analysis (Lessons 12-3 and 12-4)

11 12 14 16 11 10 13 7

Mean: 11.75 Median: 11.5

Mode: 11 Range: 9

Samples and Surveys

(Lesson 12-5)

Data Types: q u a lita tiv e , q u a n tita tiv e ,

univariate, bivariate

Sample Types: random , system atic, stra tifie d

2. D a t a Re p r e se n t at i o n
   You can use m atrices,
   frequency tables, histograms,
   box-and-whisker plots,
   tree diagrams, and other
   representations to describe
   d iffe re n t types o f data sets.


3. Pr o b a b i l i t y
   You can find theoretical and
   experimental probabilities to
   make decisions or predictions
   about future events.

Data Displays

(Lessons 1 2 -1 ,1 2 -2 ,1 2 -4 , and 12-6)

l— I— I— I— I— I— I— I— l - * -

Theoretical and Experimental

Probability (Lesson 12-7)

Theoretical:number of favorable outcomes

Experimental:

number of possible outcomes

num ber o f times event occurs

num ber o f tim es experim ent is done

Probability of Compound

Events (Lesson 12-8)

Independent:

P(A and B) = P(A) • P{B)

Dependent:

P{A then B) = P(A) • P(B after A)

Chapter Vocabulary

• bias (p. 755)
  bivariate (p. 754)
  box-and-whisker plot
  (p. 7 4 7 )
  com bination (p. 765)
  com plem ent of an event
  (p. 770)
  com pound event (p. 776)

dependent events (p. 778)

elem ent (p. 726)

freq u en cy (p. 732)

histogram (p. 733)

in d e p e n d e n t events

(p. 7 77)

in te rq u a rtile ran g e (p. 746)

matrix (p. 726)

measure of central

ten d en cy (p. 738)

outcom e (p. 769)

outlier (p. 738)

overlapping events (p. 776)

percentile (p. 749)

perm utation (p. 763)

population (p. 754)

Choose the correct term to com plete each sentence.

1. Each num erical item of d ata in a m atrix is called a(n)?.


2. The n u m b er of d ata values in an interval is the? of the interval.


3. A(n) ? is a d ata value m u ch greater or less th a n th e o th er values in a d ata set.


4. The m edian of th e lower half of an o rdered d ata set is th e first?.

1 probability (p. 769)

1 qualitative (p. 753)

1 quantitative (p. 753)

quartile (p. 746)

ra n g e o f a set o f d a ta (p. 7 4 0 )

sam ple (p. 754)

scalar m ultiplication (p. 727)

univariate (p. 754)

786 Ch ap t er 12 Ch ap t er Revi ew