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Last updated 5:54 PM on 4/9/25
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51 Terms

1
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What are all possible samples of size 2 with replacement from 4K, 2K, 3K?

(4,4), (4,2), (4,3), (2,4), (2,2), (2,3), (3,4), (3,2), (3,3)

2
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What are all possible samples of size 2 without replacement?

(4,2), (4,3), (2,4), (2,3), (3,4), (3,2)

3
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How many samples are there with replacement?

9

4
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How many samples are there without replacement?

6

5
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What is the population mean and standard deviation for 4K, 2K, 3K?

Mean = 3; SD ≈ 0.816

6
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What is the mean of the sampling distribution with replacement?

3

7
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What is the mean of the sampling distribution without replacement?

3

8
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What is the shape of the sampling distribution if the population is normal?

Always normal, regardless of sample size

9
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What is the shape if the population shape is unknown and the sample size is large?

Approximately normal (by Central Limit Theorem)

10
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What is the distribution of for N(10, 1), n = 25?

0.04

11
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What is the distribution of for mean 10, variance 4, n = 200?

0.02

12
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P() when ?

≈ 0

13
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P(7 < < 11)?

≈ 1

14
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P(X < 8) if X ~ N(10, 2)?

Z = -1; P ≈ 0.1587

15
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P(X > 11.75)?

Z = 0.875; P ≈ 0.1908

16
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P(9.2 < X < 10.65)?

≈ 0.3108

17
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P(X > 11 or X < 0)?

≈ 0.3085

18
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For Binomial(100, 0.5), P(X > 10)?

≈ 1

19
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SD of sample means for n=9 and n=36 (variance = 4)?

SDs: 0.667 and 0.333; Ratio = 2:1

20
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State the Central Limit Theorem (CLT)

For large n, the sampling distribution of is approximately normal regardless of the population

21
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CLT for normal population?

is always normal, any n

22
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CLT for non-normal population?

Approximation improves as n increases

23
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What must be assumed to compute P() for n=49?

Population is normal or n is large

24
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What is Z for P(), ?

Z = 3.5; P ≈ 0.0002

25
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What must be assumed to compute P() for n = 9?

Population is normal

26
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Z-score for P() where ?

Z = -4.5; P ≈ 0

27
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Assumption to compute P(), n = 24?

Population must be normal

28
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Z for P(), ?

Z = -6.12; P ≈ 0

29
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What does a normal probability plot with right skew look like?

Curve bends upward to the right

30
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With left skew?

Curve bends downward to the left

31
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With no skew?

Straight line

32
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5 choose 2?

10

33
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Mean of X if X = 1 (0.2), 2 (0.8)?

1.8

34
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SD of X in previous?

0.16

35
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Mean of X if values = k (0.4), 2k (0.6)?

1.6k

36
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Variance of X in previous?

0.24k^2

37
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Can you use normal approx. for Bin(10, 0.2)?

No

38
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Can you use normal approx. for Bin(20, 0.4)?

Yes

39
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Is selecting 3 students from 10 binomial?

No (not independent)

40
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Is asking 20 residents if they're satisfied binomial?

Yes

41
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Is asking 20 residents with 3 outcomes binomial?

No

42
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Another name for Gaussian distribution?

Normal distribution

43
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z0 if P(Z < z0) = 0.98?

z0 ≈ 2.05

44
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z0 if P(-z0 < Z < z0) = 0.98?

z0 ≈ 2.33

45
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X = 184 of 400 voters; distribution of X?

Binomial(400, 0.5)

46
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Is it approximately normal?

Yes

47
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Z with continuity correction for X = 184?

Z = -1.55

48
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P(X ≤ 184)?

P(Z < -1.55) ≈ 0.0606

49
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If n = 100, X = 46%, Z = ?

Z = -0.7; probability is higher than with n=400

50
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If n = 1600, X = 46%, Z = ?

Z = -3.2; probability is very low

51
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What X gives 5% probability (Z = -1.645)?

X = 183