8th Grade
2
*Scatterplots
Probability &
Statistics
3
*Negative Correlation
4
*Positive Correlation
5
No Correlation
6
*Box & Whisker Plot
7
*Histogram
8
*Experimental Probability
9
*Theoretical Probability
Additions
10 *Independent Probability
11 *Dependent Probability
Scatterplots
A graph with points plotted to
show a relationship between two
variables
Back to
List
Negative Correlation
Negative Correlation:
As one variable increases, the
other decreases.
Examples:
•The more minutes in the
freezer the lower the
temperatures.
Back to
List
•The more miles driven the
fewer gallons of gas left in
the tank.
Positive Correlation
Positive Correlation:
As one variable increases, so does
the other.
Examples:
•The more gas used the
higher the miles driven.
Back to
List
•The more minutes spent
walking on the treadmill the
more calories burned.
No Correlation
No Correlation:
As one variable increases, you cannot tell
what the other is doing.
Examples:
•Being in a higher grade level
has no effect on the number of
homework assignments.
Back to
List
•Driving a further distance to
work does not mean you will go
through more traffic lights.
Box & Whisker Plot
A graph that shows how far
apart and how evenly data are
distributed
Example:
Back to
List
Histogram
• A bar graph that shows the number of
times data occur within certain ranges or
intervals
Example:
Back to
List
Experimental Probability
• The ratio of the number of times an event
occurs to the total number of trials or times
the activity is performed
Number of times outcomes occurs
Total number of trials
Example:
If you roll a die 12 times and get a four
five times, the experimental probability of
getting a four is 5
Back to
List
12
Theoretical Probability
• A comparison of the number of favorable
outcomes to the number of possible
equally likely outcomes
number of favorable outcomes possible
Number of possible equal likely outcomes
Example:
the theoretical probability of getting a four
1
on a die is
because there is 1 four
6
Back to
out of 6 possible outcomes.
List
Independent Probability
• events that do not have any influence on
the occurrence or nonoccurrence of
another event;
Example
• The probability of tossing tails on a coin,
spinning blue on this spinner, and rolling a
2 on a number cube is
Back to
List
1
2
x
1
4
x
1
6
=
1
48
Dependent Probability
• Two events are dependent if the outcome
or occurrence of the first affects the
outcome or occurrence of the second so
that the probability is changed.
Example
When drawing two marbles at random from the
bag below, what is the probability that they will
both striped. 5/10 since there
4/9 since there are only 4
are 5 striped
out of 10 total
Back to
List
5
x
10
striped left out of 9 total
since you took one striped
one out.
4
9
=
20
90
2
=
9