1. Y ELLOW S TICKIE Q UESTIONS FROM C HAPTER 4, 5, & 6

2. B INOMIALS... G OTTA LOVE ‘ EM ! Model for many real-life situations Helps us predict, calculate the probability of an event happening or not happening Science, economics, business, gambling, your grade when you don’t study for a test! Example: Suppose a student decided not to study for a test and just guess on every question of a test that has 10 true-false questions. What’s the probability that the student gets a score of 70% or higher?

3. B INOMIALS... G OTTA LOVE ‘ EM ! Example: Suppose a student decided not to study for a test and just guess on every question of a test that has 10 true-false questions. What’s the probability that the student gets a score of 70% or higher? First, let’s confirm that this is BINOMIAL: Only Two Outcomes (Binomial), Independent, Fixed Number of Trials, Probability Same BINS

4. B INOMIALS... G OTTA LOVE ‘ EM ! Suppose a student decided not to study for a test and just guess on every question of a test that has 10 true-false questions. What’s the probability that the student gets a score of 70% or higher? Now let’s change it up a bit... Suppose a student decided not to study for a test and just guess on every question of a test that has 10 multiple- choice questions (that each have five options). What’s the probability that the student gets a score of 70% or higher?

5. C HAPTER 4... R EGRESSION ANALYSIS : EXPLORING ASSOCIATIONS BETWEEN VARIABLES Calculating the equation of a least-squares regression line without the data... won’t be tested on that one... Estimating ‘r’ or correlation... what’s that again??

6. C HAPTER 4... R EGRESSION ANALYSIS : EXPLORING ASSOCIATIONS BETWEEN VARIABLES Estimating ‘r’ or correlation...

7. C HAPTER 4... R EGRESSION ANALYSIS : EXPLORING ASSOCIATIONS BETWEEN VARIABLES Extrapolation... A least-squares regression line was fitted to the weights (pounds) versus age in months of a group of many young children from age 10 months to four years old. Predicted weight = 16.6 + 0.65 ( age in months) Predict a child’s weight if the child is age 12 months. Does this prediction seem reasonable? Predict a child’s weight if the child is a new-born. Does this prediction seem reasonable?

8. C HAPTER 4... R EGRESSION ANALYSIS : EXPLORING ASSOCIATIONS BETWEEN VARIABLES Interpreting the slope and the y-intercept of a least-squares regression line; interpret means embed context

9. C HAPTER 4... R EGRESSION ANALYSIS : EXPLORING ASSOCIATIONS BETWEEN VARIABLES Interpreting the slope and the y-intercept of a least-squares regression line; interpret means embed context

10. C HAPTER 4... R EGRESSION ANALYSIS : EXPLORING ASSOCIATIONS BETWEEN VARIABLES Interpreting the slope and the y-intercept of a least-squares regression line; interpret means embed context

11. P ROBABILITY... Not sure if this was for probability distributions like this... Or for Normal distributions like these... RedBrownOrangeBlueGreenYellow 0.13 0.200.240.160.14

12. P ROBABILITY... Or for probability with tree diagrams... Or for a Venn diagram...

13. A U B READS ‘A OR B’ A B READS ‘A AND B’ One-way table... Two-way table... RedBrownOrangeBlueGreenYellow 0.13 0.200.240.160.14

14. A DDITION RULE FOR DISJOINT EVENTS... RedBrownOrangeBlueGreenYellow 0.13 0.200.240.160.14

15. C ONDITIONAL PROBABILITIES...