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

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

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

Warm-upCh. 3 Practice Test

Ch.2-3 Warm-up1)2)3)4)5)

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

Answers to Warm-up

1) D2) C3) D4) E5) E

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

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

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

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

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

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

Page 6: Warm-up Ch. 3 Practice Test Ch.2-3 Warm-up 1) 2) 3) 4) 5)

A. P. Statistics 3.4 Answer to #45

Page 7: Warm-up Ch. 3 Practice Test Ch.2-3 Warm-up 1) 2) 3) 4) 5)

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!

Page 8: Warm-up Ch. 3 Practice Test Ch.2-3 Warm-up 1) 2) 3) 4) 5)

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 + 10.5 r = 0.769

y-hat = 1.69x + 8.14

r = 0.828

y-hat = 1.96x + 6.3

r = 0.8

Page 9: Warm-up Ch. 3 Practice Test Ch.2-3 Warm-up 1) 2) 3) 4) 5)

Student of the day!Block 4

Page 10: Warm-up Ch. 3 Practice Test Ch.2-3 Warm-up 1) 2) 3) 4) 5)

Student of the day!Block 5

Page 11: Warm-up Ch. 3 Practice Test Ch.2-3 Warm-up 1) 2) 3) 4) 5)

Student of the day!Block 6

Page 12: Warm-up Ch. 3 Practice Test Ch.2-3 Warm-up 1) 2) 3) 4) 5)

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 flippingAnswer #4 – 5 on pg 180.

Page 13: Warm-up Ch. 3 Practice Test Ch.2-3 Warm-up 1) 2) 3) 4) 5)

Statistics Verifying a y=abx functionEnter 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 exponentialfunction 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.

Page 14: Warm-up Ch. 3 Practice Test Ch.2-3 Warm-up 1) 2) 3) 4) 5)

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

Page 15: Warm-up Ch. 3 Practice Test Ch.2-3 Warm-up 1) 2) 3) 4) 5)

Ch. 3 Notebook Check3.1 – scatterplot, bivariate, linearity, clusters, outliers, trend, strength,

generalization3.2 – slope, y-intercept, predictor (explanatory variable),predicted(response variable), residual, interpolation, extrapolation, predictionerror, least squares regression line (regression line), sum of squarederrors (SSE)3.3 – correlation, regression toward the mean, line of means,regression effect, regression toward the mean3.4 – potentially influential, residual plot3.5 - exponential relationship, power relationships, powertransformation25 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) 3.3Correlation 4) 3.1 to 3.3 Multiple Choice 5) 3.4 Diagnostics 6) 3.5Shape changing Transformations

Page 16: Warm-up Ch. 3 Practice Test Ch.2-3 Warm-up 1) 2) 3) 4) 5)

A.P. Stats and Stats Answers to Practice Test1) Time studying 9)B2) mileage 10)C3) volume 11)B4) A and C 12)C5)All false. B appears true BUT 6)A7)C (since the * is on what would be the regression line,removing it would decrease correlation.)

8)C

11notand

11

r

r

Page 17: Warm-up Ch. 3 Practice Test Ch.2-3 Warm-up 1) 2) 3) 4) 5)

Remaining Answers for A.P. Statistics13)A & B can’t tell; C yes; D no-moderate14)D 15) Driving experience 16) x-axis driving experience; y-axis premium $Linear regression (0, 72.7) and (25, 40.2)17) increase, decrease18) -0.77519) $59.7020)Yes. The regression line is appropriate because the

residual points are scattered are both sides radomly.21)C 22) A

Page 18: Warm-up Ch. 3 Practice Test Ch.2-3 Warm-up 1) 2) 3) 4) 5)