Business Analytics EXAM 2 Gupta

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Last updated 3:53 PM on 4/7/26
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40 Terms

1
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(Chapter 4) A ____________ measure of the chance that an uncertain event will occur.

Probability

2
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(Chapter 4) What is the value of 0?

1

3
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(Chapter 4) Which of the following is NOT an assigning probability to sample space outcomes?

A) Classical Method

B) Wisdom Method

C) Relative Frequency Method

D) Subjective Method

Wisdom Method

4
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(Chapter 4) When you toss a die, what is the probability that you will get a 7 on the upward face of the die?

A) 2/6

B) 3/6

C) 0/6

D) 1/6

0/6

5
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(Chapter 4) A, B, C, D, and E are sample space outcomes forming a sample space. Suppose that:

P(A)= 0.3

P(B)= 0.1

P(C)= 0.4

P(E)= 0.1

What is P(D)=

0.1

6
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(Chapter 4) What is the probability that the couple will have at least 1 girl?

7/8

7
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(Chapter 4) Let A, B, and C be events and assume the following probabilities.

P(A)= 0.2

P(B)= 0.3

P(C)= 0.5

P(A∩B)= 0.06

P(A∩C)= 0

P(B∩C)= 0.5

What two events are mutually exclusive?

A and C

8
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(Chapter 4) Consider randomly selecting a card from a standard deck of 52 playing cards. What is the probability that the randomly selected card is an ace or a king?

4 Kings

4 Aces

8/52

9
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(Chapter 4) If A and B are independent events, P(A)= 0.2 and P(B)= 0.7 determine (A∩B).

P(A∩B)=P(A)×P(B)

0.14

10
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(Chapter 4) What is the probability that customers have television service A?

(12.4/27.4)=

0.45

<p>0.45</p>
11
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(Chapter 4) How many combinations of 3 high-risk stocks could you randomly select from 7 high-risk stocks?

N=7

n=3

35

<p>35</p>
12
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(Chapter 6) Shoe size is an example of a

discrete variable

13
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(Chapter 6) Which of the following is not a continuous random variable?

(The "number of" means DISCRETE)

the number of apples needed for making apple jelly

14
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(Chapter 6) Which of the following is NOT a property of discrete probabilities?

(Must be positive and a whole number).

Depending on the risky situation, probabilities can have negative values and better estimates.

15
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(Chapter 6) An insurance policy sells a $25,000 whole life insurance policy for an annual premium of $400. Actuaries' tables show that a person who would be sold such a policy with a premium has 0.002 probability of death during a year. Let x be the random variable representing the company's profit made on one of their policies during a year. The probability of distribution is

$400(0.998)+(-24,600)(0.002)

$351.20 "?" "350"

16
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Suppose that historical records indicate that 30% of all customers who enter a discount department store make a purchase. What is the probability that four of the next five will make a purchase?

5 * (0.3)^4 * (0.7)

0.02835

17
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Suppose that x is a binomial random variable with n=5, p=0.3, and q=0.7. Calculate the mean.

Mean=n*p

1.5

18
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Suppose that x is a binomial random variable with n=5, p=0.3, and q=0.7. Calculate the variance.

1.05

19
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Suppose that x is a binomial random variable with n=5, p=0.3, and q=0.7. Find p(x=0).

(0.7)^5

0.1681

<p>0.1681</p>
20
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The ________ of two events A and B is the event that consists of the sample space outcomes belonging to both A and B.

Intersection

21
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If events A and B are mutually exclusive, calculate P(A|B)

0

22
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An _________ is the probability that one event will occur given what we know that another event has already occurred.

Conditional Probability

23
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Which of the following is not a characteristic of a binomial experiment?

Each characteristic is dependent on each other.

24
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If the mean= 5.5 and variance= 9, what is the value of standard deviation?

√npq

3

25
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Which of the following is not a type of continuous random distribution?

Binomial

26
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Which of the following is a not a continuous graph?

Bar Graph

27
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Which of the following are not properties of normal distribution?

The shape of any individual curve depends on median and mode.

28
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__________ standard deviations result in normal curves that are flatter and more spread out (wider).

Large

29
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A standard normal distribution (or curve) has

mean of 0 and standard deviation of 1

30
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Suppose that the random variable x has a uniform distribution with c=3 and d=7. Find the mean.

5

31
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If Mean= 2.1 and Standard Deviation= 0.9434. Find the probability that x will lie in the interval mean plus/minus 2 standard deviation.

2.1 - 2(0.9434)= 0.2132

2.1 + 2(0.94340= 3.9868

(0.2132, 3.9668)

32
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What does this formula represent? n!/(x! (n - x)!

the number of ways to arrange a successful among n trails

33
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Probabilities must be assigned to sample space outcomes so that the probability assigned to each sample space outcome must be between ________, inclusive.

0 and 1

34
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Find P(Z= -3.13)

.00087

35
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Find P(Z < -3.59)

.00017

36
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_____________ measure the spread of normal curve.

variance and standard deviation

37
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Let x be a normally distributed random variable having the mean = 30 and standard deviation = 5. Find the value when x = 50.

(50-30)/5

4

<p>4</p>
38
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Consider the figure given below. Find the value h that makes the function f(x) a valid continuous probability distribution.

1/75

<p>1/75</p>
39
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Suppose that the random variable x is normally distributed with mean = 900 and standard deviation = 90. Find the probability P(x > 1000) (round the z value to 2 decimals).

0.1335

40
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X is poisson with

0.1353

<p>0.1353</p>

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