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
Q

explain moving average of data

A

it smooths out variations when forecasting demands are fairly steady. You average the last 3#’s

26
Q

explain the components of forecasting

A

trend, cycle, seasonal, random

27
Q

define residual

A

another term for error

28
Q

what is the dependent variable

A

the Y variable in a regression model, whats being predicted.

29
Q

define mean squared error

A

an estimate of the error variance

30
Q

what is a multiple regression model

A

a regression model that has more than one independent variables

31
Q

define P-Value

A

a probability value that is used when testing a hypothesis.

32
Q

when is the P-Value hypothesis rejected?

A

when the PValue is low.

33
Q

define classical or logical approach

A

an objective way of assessing probabilities based on logic

34
Q

define marginal probability

A

te simple probability of an event occurring

35
Q

define mutually exclusive events

A

a situation in which only one event can occur on any given trial or experiment

36
Q

define normal distribution

A

a continuous bell shaped distribution that is a function of two parameters, that mean and standard divination of the distribution

37
Q

define probability distribution

A

the set of all possible values of a random variable and their associated probabilities

38
Q

define relative frequency approach

A

an objective way of determining probabilities based on observing frequencies over a number of trials

39
Q

define standard deviation

A

the square root of a variance

40
Q

define subjective approach

A

a method of determining probability values based on experience or judgment

41
Q

define variance

A

a measure of dispersion or spread of the probability distribution

42
Q

define decision making under risk

A

a decision making environment in which several outcomes may occur as a result of a decision. The probability of the outcomes are known

43
Q

define decision making under uncertainty

A

a decision making environment in which several outcomes may occur, The probability of the outcomes are not known

44
Q

define expected monetary value

A

the average value of a decision if it can be repeated many times.

45
Q

what does MAD stand for

A

mean absolute deviation

46
Q

define MAD

A

a technique for determining the accuracy of a forecasting model by taking the average of the absolute deviations

47
Q

discrete probability distribution

A

a probability distribution with a discrete random variable