Presentation is loading. Please wait.

Presentation is loading. Please wait.

9.2 – Comparing Countries LT: Use population statistics to describe trends in data.

Similar presentations


Presentation on theme: "9.2 – Comparing Countries LT: Use population statistics to describe trends in data."— Presentation transcript:

1 9.2 – Comparing Countries LT: Use population statistics to describe trends in data

2 9.2 – Comparing Countries Vocab Demography Doubling Time Fertility Rate Pair share read intro on page 108 – Partner A – Start : Population growth End: forecast future population size Partner B – Start : Another statistic End: bottom of page 108 After reading – define the following words.

3 1 43 2 Discuss: 1.In which graph is it impossible to draw a best fit line? In which graph is the data most highly correlated? (closest to the best fit line)? 1.Which graph does NOT have any correlated data?

4 Perfect, high, low, or no correlation between the year and number of barrels of oil. Perfect, high, low, or no correlation between the year and number of barrels of oil used? oil used? Number of barrels of oil used

5 9.2 – Comparing Countries Correlation With your seat partner, summarize what we just talked about. Make notes with an example to explain this word.

6 Why might some countries have a higher fertility rate (average # children per woman) than other countries? Make a list Share – add or take away from your list

7

8 Let’s Look at data and see what affects fertility rate Make a best fit line and describe each of the following correlations. You should have four different statements, on for each of the statistics. Place statements in your journal below the graphs.

9 Analysis : 1.Look at your original List. Did it change? 2.Which statistic had the closest correlation? 3. Think of 2 other statistics that may be useful? Conclusion: In a paragraph describe how looking at data is useful when making statements about a relationship.

10

11


Download ppt "9.2 – Comparing Countries LT: Use population statistics to describe trends in data."

Similar presentations


Ads by Google