Does your computed value ofnbspvnbspexceednbspv0 if so you


1. (a) Compute the leading digits of the first 100 powers of 2, and see how well these data fit the Benford distribution.

(b) Multiply each number in the data set of part (a) by 3, and compare the distribution of the leading digits with the Benford distribution.

2. In the Powerball lottery, contestants pick 5 different integers between 1 and 45, and in addition, pick a bonus integer from the same range (the bonus integer can equal one of the first five integers chosen). Some contestants choose the numbers themselves, and others let the computer choose the numbers. The data shown in Table are the contestant-chosen numbers in a certain state on May 3, 1996. A spike graph of the data is shown in Figure.

The goal of this problem is to check the hypothesis that the chosen numbers are uniformly distributed. To do this, compute the value of the random variable χ2 given in Example 5.6. In the present case, this random variable has 44 degrees of freedom. One can find, in a χ2 table, the value v0 = 59.43 , which represents a number with the property that a χ2-distributed random variable takes on values that exceedv0 only 5% of the time. Does your computed value of exceed v0? If so, you should reject the hypothesis that the contestants' choices are uniformly distributed.

Integer

Times Chosen

Integer

Times Chosen

Integer

Times Chosen

1

2646

2

2934

3

3352

4

3000

5

3357

6

2892

7

3657

8

3025

9

3362

10

2985

11

3138

12

3043

13

2690

14

2423

15

2556

16

2456

17

2479

18

2276

19

2304

20

1971

21

2543

22

2678

23

2729

24

2414

25

2616

26

2426

27

2381

28

2059

29

2039

30

2298

31

2081

32

1508

33

1887

34

1463

35

1594

36

1354

37

1049

38

1165

39

1248

40

1493

41

1322

42

1423

43

1207

44

1259

45

1224

Table: Numbers chosen by contestants in the Powerball  lottery.

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