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QMB UCF FINAL STUDY GUIDE1 QUESTIONS AND ANSWERS 2024
- Examen • 19 páginas • 2024
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Suppose a political party wants to estimate how favorable a certain candidate is to state voters. To do so, a sample of 400 registered voters were selected. Suppose 160 found the candidate "favorable". An estimate of the proportion of the population of registered voters is 160/400=40%. This is an example of what? 
Example of finite sample 
 
 
 
Suppose a new tire is being developed and the manufacturer wants to know the useful life of the new type of tire. A sample of 120 tires were tested an...
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QMB 3200 UCF CHAPTER 4 QUESTIONS AND ANSWERS 2024
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Addition law 
 
A probability law used to compute the probability of the union of two events. It is P(A ∩ B) = P(A) + P(B) − P(A ∪ B). For mutually exclusive events, P(A ∩ B) = 0; in this case the addition law reduces to P(A ∪ B) = P(A) + P(B). 
 
 
 
 
Basic requirements for assigning probabilities 
 
 
 
 
Bayes’ theorem 
 
A method used to compute posterior probabilities. 
 
 
 
Classical method 
 
A method of assigning probabilities that is appropriate when all the experimental o...
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UCF QMB 2 MODULE 8 QUESTIONS AND ANSWERS 2024.
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Complement of Event A 
all the sample points not in the event 
 
 
 
Union of Two Events 
-event containing all sample points belonging to Event A, Event B or both 
-denoted by
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UCF QMB 2 MODULE 5 QUESTIONS AND ANSWERS 2024
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Mean 
average value for a variable 
 
 
 
Sample Mean 
denoted as
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MODULE 9 QMB3200 UCF QUESTIONS AND ANSWERS 2024
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The difference between the actual time series value and the forecast is called: 
forecast error. 
 
 
 
In the linear trend equation, Tt = b0 + b1t, b0 represents the: 
y- intercept of the trend line. 
 
 
 
The time series model that is appropriate in situations where the seasonal fluctuations do not depend upon the level of the time series is: 
an additive model. 
 
 
 
A time series from which the effect of season has been removed by dividing each original time series observation by the corre...
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UCF QMB 3200 FINAL EXAM QUESTIONS AND ANSWERS 2024
- Examen • 22 páginas • 2024
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The difference between the actual time series value and the forecast is called: 
forecast error. 
 
 
 
In the linear trend equation, Tt = b0 + b1t, b0 represents the: 
y- intercept of the trend line. 
 
 
 
The time series model that is appropriate in situations where the seasonal fluctuations do not depend upon the level of the time series is: 
an additive model. 
 
 
 
A time series from which the effect of season has been removed by dividing each original time series observation by the corre...
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CHAPTER 2 QMB 3200 UCF PRACTICE QUESTIONS AND ANSWERS 2024
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A survey of 800 college seniors resulted in the following crosstabulation regarding their undergraduate major and their plan of going to graduate school. 
 
According to the crosstabulation above, what percent of undergraduate majors plan to go to graduate school? 
65.0% 
19.3% 
27.8% 
35.0% 
35.0% 
 
 
 
The scatter diagram below displays the amount of money (in millions) spent on advertising and the amount of sales (in millions) for 8 years. 
Which of the following statements is correct? 
Ther...
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QMB 3200 FINAL EXAM QUESTIONS AND ANSWERS 2024.
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QMB 3003 EXAM 2 QUESTIONS AND ANSWERS 2024
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What is a sample space 
the set of all possible outcomes 
 
outcome is the result of the experiment 
 
 
 
What is a trial 
Repetitionfrom a random experiment 
 
 
 
Random experiment 
Has outcomesthat we cannot predict 
Experiments involvechanceor random results 
 
 
 
Probability 
Refers to a numberthat indicates the degree of likelihood ... 
◦that some future event will have a particular outcome 
 
 
Larger number -more likely 
Smaller number -less likely 
 
 
 
sample point 
Each elementof...
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QMB 3200 - UCF FINAL STUDY FLASHCARDS - MODULE 2 - 4 QUESTIONS AND ANSWERS 2024.
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Analytics 
is the scientific process of transforming data for decision making. There are three broad areas of data analytics. 
 
 
 
Descriptive Analytics 
which describes what has happened in the past. 
 
 
 
Predictive Analytics 
uses statistical models from past data to predict the future [forecasting] or assess the impact of one variable on another [inference]. 
 
 
 
Prescriptive Analytics 
uses models seeking to find a best (optimal) solution. Often these are some type of optimization mode...