COB191 Final (problems)

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53 Terms

1
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If P(buy warranty)=0.18

what is P(not buy)?

2
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What are mutually exclusive events?

Events that cannot occur together such as "product sold" and "product returned before purchase"

3
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What are independent events?

Events that do not affect each other such as sales in two different cities

4
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What is a contingency table used for?

To compute probabilities of joint and conditional events such as P(buys soda AND pizza)

5
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What is conditional probability?

Probability of A given B occurred such as P(buys drink | buys fries)

6
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If P(A)=0.30 and P(B)=0.20 and events are independent

what is P(A and B)?

7
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If P(A)=0.25 and P(B)=0.40 and mutually exclusive

what is P(A or B)?

8
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What is classical probability?

Probability based on known equal outcomes such as drawing a card

9
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What is empirical probability?

Probability based on observed data such as percent of customers returning items

10
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What does "collectively exhaustive" mean?

Events cover all possibilities such as all drink choices (water

11
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What is the complement rule?

P(not A)=1−P(A) because total probability equals 1

12
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If P(return)=0.12

what is P(no return)?

13
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When do we use the binomial distribution?

When there are fixed trials

14
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A salesman closes 40% of deals. What is P(exactly 3 closes out of 5)?

0.2304 because C(5

15
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What is the mean of a binomial distribution?

np because average success = trials*probability

16
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If n=50 and p=0.10 what is mean?

5 because np=50*0.1

17
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When do we use the Poisson distribution?

When counting events over time such as number of customers per hour

18
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If average calls = 6 per hour

what is P( exactly 2 )?

19
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What is expected value in business terms?

Long-run average outcome such as average profit per sale over time

20
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If average returns/day=3

what is expected value?

21
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If λ=4 what is P(X=0)?

e⁻⁴ ≈ 0.0183 because 4⁰/0! =1

22
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What is a z-score?

Number of standard deviations a value is from the mean: (x−μ)/σ

23
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If μ=10 and σ=2

find z for x=14.

24
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If deliveries are N(μ=12

σ=3) what is P(X>15)?

25
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Why is P(X=value)=0 for continuous distributions?

One exact point has no area under the curve because probability = area

26
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What is total area under a normal PDF?

1 because probabilities sum to 1

27
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Which Excel function finds normal probability?

=NORM.S.DIST(z

28
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Which Excel function finds z-critical?

=NORM.S.INV(probability)

29
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When is data considered approximately normal?

If histogram is bell-shaped and symmetric without extreme skew

30
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What is the empirical rule?

68% within 1σ

31
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What is a sampling distribution?

Distribution of a statistic like x̄ from repeated samples

32
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What does the CLT state?

For large n

33
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What is standard error?

Standard deviation of sample means: σ/√n

34
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If σ=30 and n=25 what is SE?

6 because SE=30/√25 = 30/5 = 6

35
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Why does SE decrease as n increases?

Bigger samples give more accuracy so less spread in sample means

36
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When can we assume normality of x̄?

If population is normal OR sample size n≥30 because CLT applies

37
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What is a point estimate of μ?

The sample mean because it best estimates the population mean

38
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What is a confidence interval?

A range of values used to estimate a population parameter

39
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When do we use z for CI?

When σ is known or n≥30 because distribution is stable

40
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When do we use t for CI?

When σ is unknown and sample is small

41
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If x̄=50

σ=10

42
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What happens to CI when confidence increases?

Interval becomes wider because more certainty requires more range

43
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What happens when sample size increases?

CI becomes narrower because we estimate more precisely

44
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What does “95% confident” mean?

If we repeated sampling many times

45
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What Excel finds t-critical?

=T.INV.2T(alpha

46
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What Excel finds z-critical?

=NORM.S.INV(1−alpha/2)

47
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What is the null hypothesis (H₀)?

Statement of no change including equality such as μ=8

48
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What is the alternative hypothesis (H₁)?

Statement we try to support excluding equality such as μ

49
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What is Type I error?

Rejecting a true null such as saying average cost < $8 when it is actually ≥ $8

50
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What is Type II error?

Failing to reject a false null such as missing that average cost is < $8

51
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When do we reject H₀ in a right-tailed test?

If test statistic > critical value or p<alpha

52
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When do we reject H₀ in a left-tailed test?

If test statistic < critical value or p<alpha

53
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What does “statistically significant” mean?

Evidence strong enough to reject H₀ at chosen alpha