1. Which of the following is NOT a discrete variable? A Number of books per student B. Number of green marbles in the box C The number of arrivals of customers in the clinic between &:00 a. m to 4:00 p.m. D. The weight of a bax of soft drinks labeled 12 ounces. This term ra aCounted

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 26PFA
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Multiple Choice. Choose the letter of the best answer. Write your chosen letter on a separate sheet of paper.
1. Which of the following is NOT a discrete variable?
A Number of books per student
B. Number of green marbles in the box
C The number of arrivals of customers in the clinic between 8:00 a.m ta 4.00 p.m.
D. The weight of a bax of soft drinks labeled 12 ounces.
2. This term can best describe a variable that can be counted
B. Discrete
C Interval
D. Ratio
A Continuous
3. You decided to order a pizza but you have to choose the type of crust and the toppings. If there are anly
6 possible combinations of ordering a pizza, from which of the following should you choose?
A. Crust: thin or deep-dish
8. Crust: thin or deep-dish
C Crust: thin or deep-dish
D. Crust: thin or deep-dish
4. Adrawer has 2 red ties, 3 black ties and 5 blue ties. A tie is picked at random. What is the total number of
possible outcomes?
Toppings: cheese or pepperani
Toppings: cheese, bacon or pepperoni
Toppings: cheese, bacon, sausage or pepperoni
Toppings: cheese, bacon, sausage, pepperoni or hotdog
8. 3
C5
D. 10
A 2
5. Ifa coin is tossed, what are the possible values of the random variable for the number of tais?
A 0,1
6. Suppose you tossed three coins. What are the sample spaces for the experiment above?
A HHH, TTT
B. TT, HHH, TTH, THT, HTH
7. How many possible outcomes will occur if three coins are tossed?
A. 2
&. Suppose three laptops are tested. Let D represent the defective laptop and N for the non-defective laptop.
How many possible outcomes will occur from the experiment?
A. 3
9. What is the sum of the probabilities of all values of the random variable?
A. EPIX) -0
10. What must be the value of the probability of each random variable?
A. PIX) 20
11. Which af the following values can serve as the values of a probability distribution?
A. P(1) = 0.42, P2) = 0.31, P(3) - 0.37
B. P(1) - 9/14, P2) - 4/14, P (3) - 1/14
12. What are the values of P(X) it P(X) =. for x 0,1, and 27
8. 1,2,3
C 0, 1, 2
D. 0, 1, 2,3
C T, HHH, HHT, THT, HTH
D. TTT, TTH, THT, HTT, HHT, HTH, THH, HHH
B. 6
C4
D. 8
B. 8
C 4
D. 9
B. EPIX) - 1/10
C EPCX) - 1
D. EPIX) - 10
B. OS P(X) s1
C -1s PIX) s1
D. P(X)s1
C P(1) - 0.08, P2) -0.12, P (3) - 1.03
D. P(1) - 10/33, P2) - 12/33, P(3) - 10/3
B. 0,0.33, 0.67
13. Which of the following table represents probability distribution?
A. 0,1,2
C. 0,0.45, 0.55
D. 0.2, 0.3, 0.5
A.
O 1 2 3
P(X)
0.11 0.15 0,42 0.44
P(X)
3.
2.
3.
3.
B.
|1 2 3
P(X) 0.32 0.28 0.28 0.12
P(X)
1.
14. Which formula gives the probability distribution shown by the table?
X 2 3
P(X)
A PX) =
B. PCX) =
C. P(X) = ;
D. P(X) =
Transcribed Image Text:Multiple Choice. Choose the letter of the best answer. Write your chosen letter on a separate sheet of paper. 1. Which of the following is NOT a discrete variable? A Number of books per student B. Number of green marbles in the box C The number of arrivals of customers in the clinic between 8:00 a.m ta 4.00 p.m. D. The weight of a bax of soft drinks labeled 12 ounces. 2. This term can best describe a variable that can be counted B. Discrete C Interval D. Ratio A Continuous 3. You decided to order a pizza but you have to choose the type of crust and the toppings. If there are anly 6 possible combinations of ordering a pizza, from which of the following should you choose? A. Crust: thin or deep-dish 8. Crust: thin or deep-dish C Crust: thin or deep-dish D. Crust: thin or deep-dish 4. Adrawer has 2 red ties, 3 black ties and 5 blue ties. A tie is picked at random. What is the total number of possible outcomes? Toppings: cheese or pepperani Toppings: cheese, bacon or pepperoni Toppings: cheese, bacon, sausage or pepperoni Toppings: cheese, bacon, sausage, pepperoni or hotdog 8. 3 C5 D. 10 A 2 5. Ifa coin is tossed, what are the possible values of the random variable for the number of tais? A 0,1 6. Suppose you tossed three coins. What are the sample spaces for the experiment above? A HHH, TTT B. TT, HHH, TTH, THT, HTH 7. How many possible outcomes will occur if three coins are tossed? A. 2 &. Suppose three laptops are tested. Let D represent the defective laptop and N for the non-defective laptop. How many possible outcomes will occur from the experiment? A. 3 9. What is the sum of the probabilities of all values of the random variable? A. EPIX) -0 10. What must be the value of the probability of each random variable? A. PIX) 20 11. Which af the following values can serve as the values of a probability distribution? A. P(1) = 0.42, P2) = 0.31, P(3) - 0.37 B. P(1) - 9/14, P2) - 4/14, P (3) - 1/14 12. What are the values of P(X) it P(X) =. for x 0,1, and 27 8. 1,2,3 C 0, 1, 2 D. 0, 1, 2,3 C T, HHH, HHT, THT, HTH D. TTT, TTH, THT, HTT, HHT, HTH, THH, HHH B. 6 C4 D. 8 B. 8 C 4 D. 9 B. EPIX) - 1/10 C EPCX) - 1 D. EPIX) - 10 B. OS P(X) s1 C -1s PIX) s1 D. P(X)s1 C P(1) - 0.08, P2) -0.12, P (3) - 1.03 D. P(1) - 10/33, P2) - 12/33, P(3) - 10/3 B. 0,0.33, 0.67 13. Which of the following table represents probability distribution? A. 0,1,2 C. 0,0.45, 0.55 D. 0.2, 0.3, 0.5 A. O 1 2 3 P(X) 0.11 0.15 0,42 0.44 P(X) 3. 2. 3. 3. B. |1 2 3 P(X) 0.32 0.28 0.28 0.12 P(X) 1. 14. Which formula gives the probability distribution shown by the table? X 2 3 P(X) A PX) = B. PCX) = C. P(X) = ; D. P(X) =
15. Which of the following use the formula of (x)--pi?
A. Probability Distribution
B. Variance of Discrete Probability Distribution
C. Standard Deviation of Discrete Probability Distribution
D. Mean or Expected Value of Discrete Probability Distribution
16. If the variance of a probability distribution is 2.5 grams, then what proper way to do to get the standard
deviation?
8. (26)=
C 161 +26
D. 1.61-26
A V26
17. Which term is calculated by summing the product of the square of the difference between the value of the
random variable and the expected value, and the associated probability of the value of the random variable,
taken over all of the values of the random variable, and finally taking the square root?
A Probability Distribution
B. Variance of Discrete Probability Distribution
C Standard Deviation of Discrete Probability Distribution
D. Mean or Expected Value of Discrete Probability Distribution
18. The probabilities that a customer buys 5,8,9,12 and 15 iterns in a grocery store are 0.06, 0.14, 0.32, 0.28, and
0.20 respectively. Which probability distribution represents the given prablem?
A
X 58 9 12
P(X) 0.06 0 14 0.2
15
0.28
0.32
12
15
P(X) 0.32 0.28
0.2
0.14 0.06
5
12
15
PX)0.06 0. 14 0.32
0.28
0.2
12
15
P(X) 0. 06 0.14 0.2
0.28 0.32
19. The following table shows the probability distribution of a discrete random variable X. Find the value of n.
X 24 6
P(X) 0.40 0.25 n
8. 0.25
A. 0.15
D. 0.35
20. The number of absences from June to March of a student based on his class advicer's record is shown
below. If X be the random variable representing the number of absences. Which table represents the
probability distribution?
Month Jun Jul Aug Sept Oct Nov Dec Jan Feb Mar
No. of
absences
1 4
C.
2
3
2
3
4.
2.
2
P(X)
3
3.
10
P(X)
3
10
10
10
10
10
10
10
5.
8.
D.
2
3
2
3.
P(X)
3
3
3
P(X)
3
1.
10
10
10
10
10
10
10
10
139
0115
Transcribed Image Text:15. Which of the following use the formula of (x)--pi? A. Probability Distribution B. Variance of Discrete Probability Distribution C. Standard Deviation of Discrete Probability Distribution D. Mean or Expected Value of Discrete Probability Distribution 16. If the variance of a probability distribution is 2.5 grams, then what proper way to do to get the standard deviation? 8. (26)= C 161 +26 D. 1.61-26 A V26 17. Which term is calculated by summing the product of the square of the difference between the value of the random variable and the expected value, and the associated probability of the value of the random variable, taken over all of the values of the random variable, and finally taking the square root? A Probability Distribution B. Variance of Discrete Probability Distribution C Standard Deviation of Discrete Probability Distribution D. Mean or Expected Value of Discrete Probability Distribution 18. The probabilities that a customer buys 5,8,9,12 and 15 iterns in a grocery store are 0.06, 0.14, 0.32, 0.28, and 0.20 respectively. Which probability distribution represents the given prablem? A X 58 9 12 P(X) 0.06 0 14 0.2 15 0.28 0.32 12 15 P(X) 0.32 0.28 0.2 0.14 0.06 5 12 15 PX)0.06 0. 14 0.32 0.28 0.2 12 15 P(X) 0. 06 0.14 0.2 0.28 0.32 19. The following table shows the probability distribution of a discrete random variable X. Find the value of n. X 24 6 P(X) 0.40 0.25 n 8. 0.25 A. 0.15 D. 0.35 20. The number of absences from June to March of a student based on his class advicer's record is shown below. If X be the random variable representing the number of absences. Which table represents the probability distribution? Month Jun Jul Aug Sept Oct Nov Dec Jan Feb Mar No. of absences 1 4 C. 2 3 2 3 4. 2. 2 P(X) 3 3. 10 P(X) 3 10 10 10 10 10 10 10 5. 8. D. 2 3 2 3. P(X) 3 3 3 P(X) 3 1. 10 10 10 10 10 10 10 10 139 0115
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