Let’s review Misleading Graphs!
23
Let’s review Misleading Graphs!
description
Let’s review Misleading Graphs!. Monthly Coffee Sales. 60. 40. 35. sales. 20. 10. 0. March April May June July August. MONTHS. What causes this graph to be misleading? A) The bars are the wrong height B) The Y axis does not include units - PowerPoint PPT Presentation
Transcript of Let’s review Misleading Graphs!
Let’s review Misleading Graphs!
0
10
20
35
40
60
March April May June July August
MONTHS
sal
es
Monthly Coffee Sales
What causes this graph to be misleading?A) The bars are the wrong heightB) The Y axis does not include unitsC) The Y axis goes up by different incrementsD) The year is not shown
Which of the following makes the graph above misleading?
A. The scale on the y-axis is uneven.B. The y-axis does not start at zero.C. The x-axis does not start at zero.D. The scale on the x-axis is uneven.
4. The graph below shows the monthly sales of a jewelry store.
Which of the following makes the graph above misleading?
A. The bar labeled "May" is too tall.B. The scale on the x-axis does not start at zero.C. The scale on the y-axis does not start at zero.D. The intervals on the y-axis scale are uneven.
Which of the following makes the graph misleading?
A. The scale on the y-axis is uneven.B. The maximum value on the y-axis is too large.C. The scale on the x-axis is uneven.D. The maximum value on the x-axis is too large.
Which of the following makes the graphs misleading?
A. There is not a graph for employees hired after 2008.B. The same colors are used for the 2005 graph and the 2008 graph.C. The 2008 graph is to the right of the 2005 graph.D. The 2008 graph is larger than the 2005 graph.
Which of the following makes the graph above misleading?A. The scale on the x-axis does not start at zero.B. The bars have different widths.C. The intervals on the y-axis scale are uneven.D. The graph does not take into account that there are two shoes in a pair.
0
2
4
6
8
10
Type 1 Type 2 Type 3 Type 4 Type 5 Type 6
Type of Pets
Nu
mb
er
of
Pe
tsTypes of Pets owned
What causes this graph to be misleading?A) The vertical axis only shows even numbersB) The bars are not arranged from longest to shortestC) The horizontal axis does not identify the types of Pets ownedD) The label on the vertical axis does not include units
Predictions
Essential Question:
How do you make predictions based on data? SPI: 0606.1.1
MAKING PREDICTIONSMAKING PREDICTIONS
0
2
4
6
8
10
12
Monday Tuesday Wednesday Thursday
Series1
60
30
40
50
0
10
20
*Predict how manyMagazines will be Sold on Friday?
A)25B)35C)65D)60
MAGAZINE SALES
PREDICTIONS BASED ON DATA
What do you predictWill happen Week 5?
PREDICTIONS BASED ON DATA
98
96
94
92
90
88
M T W TH F Sa Su
** According to theLine graph; what willThe temperature be On Sunday?
What will the tempbe the followingTuesday?
MAKING PREDICTIONS
MONTH RAINFALL (inches)
May 6
June 8
July 10
August 12
September
MAKING PREDICTIONSMAKING PREDICTIONSUsing what you have already Using what you have already
learned!!!learned!!!A store sold 255 DVDs in 5 days. If sales
continue at the same rate, which is the BEST prediction of the number of DVDs the store could expect to sell in 30 days?
A) 7,650
B) 6,000
C) 1,500
D) 1,000
MAKING PREDICTIONSMAKING PREDICTIONS(IT’S A UNIT RATE!!!!)(IT’S A UNIT RATE!!!!)
Tyler ran 197 miles during 10 days of practice for a cross country race. He ran about the same number of miles each day. Which is the BEST estimate of the number of miles Trevor ran each day?
A) 20B) 25C) 210D) 1,900
MAKING PREDICTIONS
0 1 2 3 4 5
70,000
60,000
50,000
40,000
30,000
20,000
10,000
0
AmountIn
Dollars
YEARS
*If sales Continue, howMany salesWill they haveIn year 4 & 5Combined?
MAKING PREDICTIONSThe midday temperatures in a city for Monday and Tuesday are Represented by points on the number line below….
- 10 - 5 0 5 10
The midday temperature on Wednesday was 2 degrees lower than The midday temperature on Tuesday. Which point BEST represents the middayTemperature on Wednesday?
Q R S T
Monday Tuesday
A) Point QB) Point RC) Point SD) Point T
MAKING PREDICTIONSYEAR # OF CELL
PHONE USERS
1995 2,000
1997 2,300
1999 2,600
2001 2,900
2003
2005
MAKING PREDICTIONSDAY OF THE WEEK AMOUNT OF
MONEY EARNED
MONDAY $65
TUESDAY $80
WEDNESDAY $95
THURSDAY $110
FRIDAY
SATURDAY
MAKING PREDICTIONSMONTH # OF TEXT
MESSAGES SENT
JANUARY 334
FEBRUARY 345
MARCH 356
APRIL 367
MAY
JUNE
Making Predictions Based on DataThe table shows the results of a survey that asked
100 students on the track team their favorite type of exercise.
Exercise People
Jogging 50
Weightlifting 30
Aerobics 10
Other 10
If 10 new team membersare asked the samequestion, which is most likely to happen?A) Five of them will chooseJoggingB) All of them will choose joggingC) None of them will choosejoggingD) One of them will choose weightlifting
Making Predictions Based on Data
A manufacturer makes 1,040,000 balloons. The
manufacturer tests 200 balloons and finds that
32 have holes.
About how many of the balloons that were manufactured are likely to have holes?
A) 32
B) 163
C) 166,368
D) 166,400
Making Predictions Based on DataThe table shows the population of a small town
from 2007 - 2010.
Year Population
2007 3,554
2008 3,690
2009 3,826
2010 3,962
2011
2012
What is the best predictionfor the population in2012?
A) 3,998B) 4,098C) 4,234D) 5,370
