1. Let’s review Misleading Graphs!

2. 0 10 20 35 40 60 March April May June July August MONTHS sales Monthly Coffee Sales What causes this graph to be misleading? A) The bars are the wrong height B) The Y axis does not include units C) The Y axis goes up by different increments D) The year is not shown

3. 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. 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.

5. 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.

6. 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.

7. 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.

8. 0 2 4 6 8 10 Type 1 Type 2 Type 3 Type 4 Type 5 Type 6 Type of Pets Number of Pets Types of Pets owned What causes this graph to be misleading? A) The vertical axis only shows even numbers B) The bars are not arranged from longest to shortest C) The horizontal axis does not identify the types of Pets owned D) The label on the vertical axis does not include units

9. Predictions Essential Question: How do you make predictions based on data? SPI: 0606.1.1

10. MAKING PREDICTIONS 60 30 40 50 0 10 20 *Predict how many Magazines will be Sold on Friday? A)25 B)35 C)65 D)60 MAGAZINE SALES

11. PREDICTIONS BASED ON DATA What do you predict Will happen Week 5?

12. PREDICTIONS BASED ON DATA 98 96 94 92 90 88 M T W TH F Sa Su ** According to the Line graph; what will The temperature be On Sunday? What will the temp be the following Tuesday?

13. MAKING PREDICTIONS MONTHRAINFALL (inches) May6 June8 July10 August12 September

14. MAKING PREDICTIONS Using what you have already 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

15. MAKING PREDICTIONS (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) 20 B) 25 C) 210 D) 1,900

16. MAKING PREDICTIONS 0 1 2 3 4 5 70,000 60,000 50,000 40,000 30,000 20,000 10,000 0 Amount In Dollars YEARS * If sales Continue, how Many sales Will they have In year 4 & 5 Combined?

17. MAKING PREDICTIONS The midday temperatures in a city for Monday and Tuesday are Represented by points on the number line below…. - 10- 50510 The midday temperature on Wednesday was 2 degrees lower than The midday temperature on Tuesday. Which point BEST represents the midday Temperature on Wednesday? QRST Monday Tuesday A) Point Q B) Point R C) Point S D) Point T

18. MAKING PREDICTIONS YEAR# OF CELL PHONE USERS 19952,000 19972,300 19992,600 20012,900 2003 2005

19. MAKING PREDICTIONS DAY OF THE WEEKAMOUNT OF MONEY EARNED MONDAY$65 TUESDAY$80 WEDNESDAY$95 THURSDAY$110 FRIDAY SATURDAY

20. MAKING PREDICTIONS MONTH# OF TEXT MESSAGES SENT JANUARY334 FEBRUARY345 MARCH356 APRIL367 MAY JUNE

21. Making Predictions Based on Data The table shows the results of a survey that asked 100 students on the track team their favorite type of exercise. ExercisePeople Jogging50 Weightlifting30 Aerobics10 Other10 If 10 new team members are asked the same question, which is most likely to happen? A) Five of them will choose Jogging B) All of them will choose jogging C) None of them will choose jogging D) One of them will choose weightlifting

22. 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

23. Making Predictions Based on Data The table shows the population of a small town from 2007 - 2010. YearPopulation 20073,554 20083,690 20093,826 20103,962 2011 2012 What is the best prediction for the population in 2012? A) 3,998 B) 4,098 C) 4,234 D) 5,370