First Test Flashcards

0
Q

Objective approach

A

What the probability of tossing a coin. You have an understanding of what the answer will be

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1
Q

Probability

A

Numerical statement about the chance that an vent will occur

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2
Q

Subjective approach

A

You don’t have a good idea of the answer. You get an opinion (a poll)

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3
Q

Mutually exclusive

A

Only one of the events can occur in a single trial

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4
Q

Collectively exhaustive

A

The list of outcomes includes every possible outcome

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5
Q

What is marginal probability

A

The probability of an event occurring. Also called a simple probability

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6
Q

Conditional probability is the

A

Probability of an event occurring given that another event had taken place

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7
Q

What is joint probability

A

the probability of events occurring together ( one after another)

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8
Q

Baye’s theorem

A

a formula that is used to revise probabilities based on new information

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9
Q

randome variable **

A

Variable that given as specific number or value

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10
Q

A normal curve

A

Is continuos

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11
Q

What is baye’s theory

A

A formula that is used to revise probabilities based in new information

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12
Q

A discrete random variable

A

a randome variable that can only assume a limited set of values

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13
Q

What Is variance

A

A measure of dispurshion

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14
Q

what is standard divination

A

square route of the variance

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15
Q

Marginal probability is the

A

Probability of an event occurring

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16
Q

the jury if executive opinion

A

a panel data from top executives

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17
Q

explain time series

A

historical data, predict the trend into the future

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18
Q

other names for dummy variables

A

indicator variable or a binary variable

19
Q

the coefficient of correlation ranges from..

A

the correlation coefficient ranges from -1 to +1

20
Q

define dummy variable

A

a variable used to represent a qualitative factor or condition. Dummy variables have values of 0 or 1.

21
Q

define regression analysis

A

a forecasting procedure that uses the least square approach on one or more independent variables to develop a forecasting model.

22
Q

a simple average is calculated by

A

add and / by total

23
Q

weighted average is calculated by

A

you / by the sum of the wights, (like when calculating your grades)

25
explain moving average of data
it smooths out variations when forecasting demands are fairly steady. You average the last 3#'s
26
explain the components of forecasting
trend, cycle, seasonal, random
27
define residual
another term for error
28
what is the dependent variable
the Y variable in a regression model, whats being predicted.
29
define mean squared error
an estimate of the error variance
30
what is a multiple regression model
a regression model that has more than one independent variables
31
define P-Value
a probability value that is used when testing a hypothesis.
32
when is the P-Value hypothesis rejected?
when the PValue is low.
33
define classical or logical approach
an objective way of assessing probabilities based on logic
34
define marginal probability
te simple probability of an event occurring
35
define mutually exclusive events
a situation in which only one event can occur on any given trial or experiment
36
define normal distribution
a continuous bell shaped distribution that is a function of two parameters, that mean and standard divination of the distribution
37
define probability distribution
the set of all possible values of a random variable and their associated probabilities
38
define relative frequency approach
an objective way of determining probabilities based on observing frequencies over a number of trials
39
define standard deviation
the square root of a variance
40
define subjective approach
a method of determining probability values based on experience or judgment
41
define variance
a measure of dispersion or spread of the probability distribution
42
define decision making under risk
a decision making environment in which several outcomes may occur as a result of a decision. The probability of the outcomes are known
43
define decision making under uncertainty
a decision making environment in which several outcomes may occur, The probability of the outcomes are not known
44
define expected monetary value
the average value of a decision if it can be repeated many times.
45
what does MAD stand for
mean absolute deviation
46
define MAD
a technique for determining the accuracy of a forecasting model by taking the average of the absolute deviations
47
discrete probability distribution
a probability distribution with a discrete random variable