1. Warm-Up Grab a sheet of multiple choice questions and work on those!

2. Answers to warm-up (C C B D E) Homework Questions?

3. Computer Outputs

4. Finish Section 2.1

5. Density Curves 1.Always plot your data: dotplot, stemplot, histogram… 2.Look for overall pattern (SOCS) 3.Calculate numerical summary to describe Add a step… 4.Sometimes the overall pattern is so regular we can describe it by a smooth curve. A Density Curve is a curve that: Is always on or above the horizontal axis Has an area of 1 underneath it

6. Things to note… The mean is the physical balance point of a density curve or a histogram The median is where the areas on both sides of it are equal

7. Don’t forget… The mean and the median are equal for symmetric density curves!

8. Start Section 2.2 Normal Curves!

9. Normal Distributions = Normal Curves

10. The 68-95-99.7 Rule

11. Other images to explain the same thing…in case it helps!

12. Example A pair of running shoes lasts on average 450 miles, with a standard deviation of 50 miles. Use the 68-95-99.7 rule to find the probability that a new pair of running shoes will have the following lifespans. Between 400-500 miles More than 550 miles

13. Warm-Up (09-26-13) On the driving range, Tiger Woods practices his golf swing with a particular club by hitting many, many golf balls. When Tiger hits his driver, the distance the ball travels follows a Normal distribution with mean 304 yards and standard deviation 8 yards. What percent of Tiger’s drives travel at least 288 yards? What percent of Tiger’s drives travel between 296 and 320 yards?

14. Example The ACT and SAT are both Normally distributed with a mean of 18 and 1500 (respectively) and standard deviation of 6 and 300 (again respectively). Using this information find the following: a.Percentage of scores that are above a 24 on the ACT. b.Percentile for a 2100 on the SAT. c.Percentage of ACT scores that are between 24 and 30. d.Percentage of SAT scores that are between 900 and 1800.

15. Example A vegetable distributor knows that during the month of August, the weights of its tomatoes were normally distributed with a mean of 0.61 pound and a standard deviation of 0.15 pound. a.What percent of the tomatoes weighed less than 0.76 pound? b.In a shipment of 6000 tomatoes, how many tomatoes can be expected to weigh more than 0.31 pound? c.In a shipment of 4500 tomatoes, how many tomatoes can be expected to weigh between 0.31 and 0.91 pound?

16. How does this relate to z-scores?

17. Table A in your book… The table entry for each z-score is the area under the curve to the left of z. If we wanted the area to the right, we would have to subtract from 1 or 100%

18. Examples Find the proportion of observations that are less than 0.81 Find the proportion of observations that are greater than -1.78 Find the proportion of observations that are less than 2.005 Find the proportion of observations that are greater than 1.53 Find the proportion of observations that are between -1.25 and 0.81

19. Homework Page 107: 19-38 (Density Curves) Page 131: 41-54 (Normal Curves and z-scores)