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The controllable variance measures:
a) operating results at less than normal capacity
b) the efficiency of using variable overhead resources
c) operating results at more than normal capacity
d) control over fixed overhead costs

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Karol A.Lv10
21 Mar 2021
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Related textbook solutions

Introductory Statistics
OER Edition, 2013
Openstax
ISBN: 9781938168208

Related questions

1. In its standardized form, the normal distributionĀ 

(a) has a mean of 0 and a standard deviation of 1.

(b) has a mean of 1 and a variance of 0.

(c) has an area equal to 0.5.

(d) cannot be used to approximate discrete probability distributions.

Ā 

2. For some positive value of Z, the probability that a standard normal variable is between 0 and Z is 0.3770.

The value of Z is

(a) 0.18

(b) 0.81

(c) 1.16

(d) 1.47

Ā 

3. For some value of z, the probability that a standard normal variable is below z is 0.2090. The value of Z isĀ 

(a) -0.81

(b) -0.31

(c) 0.31

(d) 1.96

Ā 

4. For some positive value of X, the probability that a standard normal variable is between 0 and +2x is 0.1255.

The value of X isĀ 

(a)Ā  0.99

(b) 0.40

(c) 0.32

(d) 0.16

Ā 

5. If we know that the length of time it takes a college student to find a parking spot in the library parking lot follows a normal distribution with a mean of 35. minutes and a standard deviation of minute, find the probability that a randomly selected college student will find a parking spot in the library parking lot in less than 3 minutes.

(a) 0.3551

(b) 0.3085

(c) 0.2674

(d) 0.1915Ā 

Exhibit 2 The weight of football players is normally distributed with a mean of 200 pounds and a standard deviation of 25 pounds.

7. Refer to Exhibit 2. What is the random variable irn this experiment?

a. the weight of football players

b. 200 pounds

c. 25 pounds

d. the normal distribution

8.)Refer to Exhibit 2. The probability of a player weighing more than 241.25 pounds is

a. 0.4505

b. 0.0495

c. 0.9505

d. 0.9010

9. Refer to Exhibit 2. The probability of a player weighing less than 250 pounds is

a. 0.4772

b. 0.9772

c. 0.0528

d. 0.5000

10. Refer to Exhibit 2. What percent of players weigh between 180 and 220 pounds?

a. 34.13%

b. 68.26%

c.0.3413%

d. None of the alternative answers is correct.Ā 

The queuing time at an airline check-in has a population mean h = 13 minutes and variance o2 = 16 minutes2. Suppose that n = 27 passengers were randomly selected from this population. They were interviewed and reported the queued times. Let xĢ„ defines the sample mean of n observations. Answer the followings:

a) Define your random variable X.

b) Define the sampling distribution of sample mean (indicate a reason and give the name of the distribution, the parameters and sketch it.

c) What is the probability that a sample mean is at most 11 minutes. Please skecth the problem and show all details of your answer.

d) Suppose that for n = 27 passengers, the sample mean is observed as xĢ„= 10 minutes. Based on part c, can we claim that the population mean queuing time is less than 13 minutes.

e) Construct a 95% acceptance region for sample mean of queing time (i.e., u + za x f) Interpret the result obtained in parte and skecth the control chart.

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