1. Warm-up Ch. 3 Practice Test
Ch.2-3 Warm-up 1) 2) 3) 4) 5)

2. Answers to Warm-up D C E

3. A.P. Statistics and Statistics answers to 3.4 #43 - 44

4. A.P Statistics and Statistics 3.4 H.W. Answers #43 and 44

5. A.P. Statistics and Statistics Remaining 3.4 #44 Answers

6. A. P. Statistics 3.4 Answer to #45

7. A.P. Statistics 3.4 Residual plot for #45
C. The skin sample with the unusually effective disinfectant would be the (8, 0).
The skin sample with the least effective disinfectant would be the (10, 13). The coded bacteria colony increased after treatment!

8. Stats 3.4 Diagnostics – Looking at Influential Points
Using the original data, enter into L1 and L2. Remove the beaver point (outlier in y) Remove the hippo point (outlier in x) How did removing the beaver affect the data? Removing the beaver data increased slope and decreased the y-intercept. The correlation coefficient increased. How did removing the hippo affect the data? Removing the hippo data changes slope and the y-intercept. Correlation increased slightly less than removing beaver.
y-hat =1.58x
r = 0.769
y-hat = 1.69x
r = 0.828
y-hat = 1.96x + 6.3
r = 0.8

9. Student of the day! Block 4

10. Student of the day! Block 5

11. Student of the day! Block 6

12. Statistics 3.5 Shape-changing transformations
Some functions are not linear. Complete the Coin Flipper activity. (pg 180) Flip the coins.(tails means they die, so remove them) Count them and write the number each time in the table. Keep on flipping until there are none left. Once you finish filling in the table and flipping Answer #4 – 5 on pg 180.

13. Statistics Verifying a y=abx function
Enter your data into L1 and L2 Stat-> Calc down to Exp Reg If b > 1, then b - 1 gives the growth rate. If 1< b < -1, then b – 1 is negative and gives the decay rate. One way to check if your function is really an exponential function is to linearize it . Keep the L1, but then change all L2 to logs in L3 = log(L2) . LineReg L1, L3, Y1 The data should look for linear. Look at the residual plot.

14. Directions for Practice Test
Work on the Practice Test quietly for the first 30 minutes.
Have your notebook ready (#1 – 25 of definitions)
A.P. Statistics complete #1 -22
Statistics complete #1 – 12
H.W. for A.P. Statistics is to complete #23 and 24 (24 b it is supposed the be the coefficient of determination)
H.W. for Statistics is to complete E#45 in 3.4

15. Ch. 3 Notebook Check
3.1 – scatterplot, bivariate, linearity, clusters, outliers, trend, strength, generalization 3.2 – slope, y-intercept, predictor (explanatory variable),predicted (response variable), residual, interpolation, extrapolation, prediction error, least squares regression line (regression line), sum of squared errors (SSE) 3.3 – correlation, regression toward the mean, line of means, regression effect, regression toward the mean 3.4 – potentially influential, residual plot exponential relationship, power relationships, power transformation 25 pts for vocabulary (# them 1 – 25) 6 notes w/ warm-ups (12 pts each = 4 pts warm-up + 8 pts for Notes) = 72pts Notes with warm-ups: 1) 3.1 Scatterplots 2) 3.2 Getting a line 3) 3.3 Correlation 4) 3.1 to 3.3 Multiple Choice 5) 3.4 Diagnostics 6) 3.5 Shape changing Transformations

16. A.P. Stats and Stats Answers to Practice Test
1) Time studying 9)B
2) mileage 10)C
3) volume 11)B
4) A and C 12)C
5)All false. B appears true BUT
6)A
7)C (since the * is on what would be the regression line,
removing it would decrease correlation.)
8)C

17. Remaining Answers for A.P. Statistics
13)A & B can’t tell; C yes; D no-moderate 14)D 15) Driving experience 16) x-axis driving experience; y-axis premium $ Linear regression (0, 72.7) and (25, 40.2) 17) increase, decrease 18) ) $ )Yes. The regression line is appropriate because the residual points are scattered are both sides radomly. 21)C 22) A