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Data Analysis & Probability

Data Analysis & Probability. Unit 7. What You’ll Learn. Critique ways in which data are presented Solve problems that involve the probability of independent events. Why it’s Important. Graphs are pictures of data Knowing the best way to present data can help you communicate your ideas

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Data Analysis & Probability

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  1. Data Analysis & Probability Unit 7

  2. What You’ll Learn • Critique ways in which data are presented • Solve problems that involve the probability of independent events

  3. Why it’s Important • Graphs are pictures of data • Knowing the best way to present data can help you communicate your ideas • In the media, you hear and read statements about the probability of everyday events • To make sense of these statements, you need to understand probability

  4. Key Words • Circle graph • Line graph • Bar graph • Double bar graph • Discrete data • Pictograph • Outcome • Event • Independent events • Probability of an event

  5. 7.1 – Choosing an Appropriate Graph

  6. Investigate • Take a look at pg. 382 • Greatest Skateboard Sales? • A • Range in Sales? • B • Percent of Sales in May? • C

  7. Line Graphs • A line graph displays data that change over time • join the points • A line graph: • is easy to draw and to read • best used to show data gathered over time • vertical axis (y) can have a zigzag • can be used to estimate values between data points and beyond data points

  8. Line Graphs

  9. Double Bar Graphs • displays two sets of data that can be counted • A double bar graph: • is easy to draw and to read • can be used to directly compare two sets of data (length of bars) • may be difficult to read accurately depending on the scale used

  10. Double Bar Graphs

  11. Circle Graph Strengths Limitations The graph does not show the number The total number cannot be calculated Difficult to draw accurately • Shows parts of the whole • Each response is shown as a percent of the whole • The sizes of the sectors can be used to compare responses

  12. 7.2 – Misrepresenting Data

  13. Connect • Different formats of a graph may lead to misinterpretation of data • There are many ways in which graphs can be drawn to misrepresent data • Graphs like these may be found in the media to create false impressions

  14. Main Ways to Misrepresent Data • Scale not starting at zero (no jagged line) • Different widths of bars • Different size pictures • Scale sizes can make differences harder to detect (using a larger scale) • Part of the graph is treated different to draw attention to it.

  15. Assignment • Page 387-390 – #3,4,5,6 • Page 399-402 - #3,4,5,6,7,8,9

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