5: Informational Context Of Business Flashcards

1
Q

What is data vs information?

A

Data: A collection of unprocessed facts/stats

Information: Data that is processed in a meaningful way

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2
Q

What are the characteristics of good information?

A

ACCURATE:

A: Accurate
C: Complete
C: Cost effective
U: User Targeted
R: Relevant
A: Accessible
T: Timely
E: Easy to use

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3
Q

How is data presented?

A

Bar charts, Frequency distributions, Histograms, Ogives, Scatter Diagrams

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4
Q

How to calculate the height of a histogram?

A

Frequency * Standard class width / Actual class width

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5
Q

How to calculate most frequent class on a histogram?

A

Calculate area of bar = Height * Width of class

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6
Q

What are the components of a Time Series Analysis?

A

Trend: Long term movement over time.

Seasonal Variations: Short term fluctuations which cause known differences due to different time periods.

Cyclical variations: Associated with phases of the trace cycle (Longer term)

Residual Variations : Other variations

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7
Q

Ways to calculate trends?

A

Line of best fit.

Linear Regression.

Moving Averages: Mid point of 2 moving averages = Trend

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8
Q

How to calculate seasonal variations?

A

Seasonal Variation = Time Series - Trend.

Or

Seasonal Variation = Time Series / Trend

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9
Q

How to forecast using time series?

A

Step 1: Plot trend line (Regression, Moving averages)
Step 2: Extrapolate trend line outside range of known data.
Step 3: Adjust forecasted trends to obtain actual forecast.

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10
Q

How to adjust forecasted trends?

A

Additive model : Add positive or subtract negative variations

Multiplicative model: Multiply forecast trends by seasonal variations.

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11
Q

What are the limitations of time series & regression analysis?

A

Time Series: Danger of random variations upsetting pattern of trend & seasonal variation.

Regression: Assumes both a linear relationship between two variables & that one variable only depends on the other and not many other variables.

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12
Q

What is correlation?

A

The extent to which the value of a dependant variable is related to the value of the independent variable.

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13
Q

What does the Coefficient of determination tell us?

A

A measure of the proportion of total variation in the value of one variable that can be explained by variations in the value of the other variable.

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14
Q

How to interpret correlation coefficient results?

A

Degrees of correlation: Perfectly, Partly & Uncorrelated.

Perfectly = +1 or -1
Uncorrelated = 0

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15
Q

When is spearman’s rank correlation coefficient given?

A

When data is given in terms of order or rank as oppose to actual values.

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16
Q

What are the overall limitations affecting forecasting?

A

Time period of the forecast: The longer the period the less reliable it is likely to be.

Quantity of data: More data, more reliability.

Assumes past provides guide to future.