Reading 8: Statistical Concepts & Market Returns Flashcards

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1
Q

LOS 8.A-

a.) Distinguish between descriptive statistics & inferential statistics

A

There are 2 different types of statistics:

Differential Statistics- statistics that refers to population statistics which gives important details about the population to interpret data sets. (parameters)

Inferential Statistics- inferential statistics uses measurements from a sample to draw estimates for the population via extrapolation.

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2
Q

LOS 8.A-

b.) distinguish between a population & a sample

A

Population- the whole population is being evaluated

Sample- the sample is selected w/o bias for representation of the population.

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3
Q

LOS 8.A-

c.) among the types of measurement scales

A

Nominal- (1- boy 2-girl) basic values but no definition for the values

Ordinal- order and definition to the values. (5=high pain, 4= pain, 3= average, 2= normal, 1= below pain)

Interval- like salaries that is based on an interval but it has no set zero.

Scalar- has an absolute zero; also has infinite values in between data points.

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4
Q

LOS 8.B-

Define a parameter, a sample statistic, & a frequency distribution.

A

Parameter- a parameter is based on the population

Sample Statistic- based on a sample like ‘sample mean’

Frequency Distribution- a tabular distribution that gives absolute frequencies, relative frequencies, etc.

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5
Q

LOS 8.C-

Calculate & interpret relative frequencies and cumulative relative frequencies, given a frequency distributions.

A

relative frequency- its a percentage of ‘wanted values’/ ‘total value’

cumulative relative frequency- its a percentage of ‘wanted values’/ ‘total values’ sum of all values below as well.

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6
Q

LOS 8.D-

Describe the properties of a data set presented as a histogram or a frequency polygon.

A

Histogram- it is the sum of all the absolute frequencies.

Frequency Polygon- 
a.) take the average between both ends of the class interval

b.) then take the absolute frequency as the value for the y-axis.

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7
Q

LOS 8.E-

a.) Calculate and interpret measures of central tendency

A

What are the measures of central tendency?

  • population mean
  • sample mean
  • arithmetic mean (Sum of mean derivatives (SUM(x- x bar =0))
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8
Q

LOS 8.E-

b.) how to calculate weighted average mean

A

WEIGHTED AVERAGE MEAN= Sum of ALL (WiXi)

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9
Q

LOS 8.E-

c.) calculate Geometric Mean

A

G mean = (x1 * x2 * x3* x4…….) (1/n)

n= the number of items in the list
x= the number itself

Used for forecasting the rate of return in the future for the FUTURE vs. arithmetic mean which is for current year

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10
Q

LOS 8.E-

d.) calculate the Harmonic mean

A

Harmonic mean = N/ (SUM OF 1/Xi)

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11
Q

LOS 8.F-

Calculate and interpret quartiles, quintiles, deciles, and percentiles.

A

1.) To find quantiles, you will need to calculate:
Ly= (n+1)(y/100)
n= total numbers
y= the percentile

2.) Then count towards that number to see where that range will begin for the quantile.

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12
Q

LOS 8.G-

a.) Calculate and interpret a range & a mean absolute deviation

A

Range- a measure of variability; gives understanding of distance

Mean Absolute Deviation-
MAD = SUM [(x- x bar)] / n

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13
Q

LOS 8.G-

b. & c.) Calculate and interpret a variance & SD of a population/SAMPLE

A

VARIANCE OF POPULATION

S^2= [(X-U)^2/N]

SD OF POPULATION

S^2= [(X-U)^2/(N-1)]

SD= SQUARE ROOT OF S^2

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14
Q

LOS 8.H- Calculate and interpret the coefficient of variation and the Sharpe Ratio.

A

CV= Standard Deviation/ Mean
*** measures the relative distance BETWEEN STATISTIC AND the mean

Sharpe Ratio- the rate of return after risk free rate is taken out

SR= (IR- RFR)/(SD)
** Excess Return per unit of Risk **

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15
Q

LOS 8.K: Describe the relative locations of the mean, median, and mode for a unimodal, non-symmetrical distribution for skewness

A

Positive Skew- (mode < median < mean)

Negative Skew- (mode> median> mean)

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16
Q

LOS 8.1: Explains measures of sample skewness and kurtosis

A

Kurtosis- Leptokurtotic, Mesokurtotic, Platykurtotic

Skewness- positively, negatively skewed

17
Q

LOS 8.1: Explains measures of sample skewness and kurtosis

a.) How do you calculate and interpret skewness?

A

1.) Find sample skewness via calculation
2.) compare to the guidelines below.
———————————————————————————–
Skewness Calculation:

Sample Skewness = (1/n) [ [(x-xbar)^3]/SD^3]

SS> 0 POSITIVELY SKEWED

SS<0 NEGATIVELY SKEWED

SS=0 NO SKEW

18
Q

LOS 8.1: Explains measures of sample skewness and kurtosis

a.) How do you calculate and interpret kurtosis?

A

1.) Find Sample Kurtosis
2.) Find Ke value
3.) Compare to the guidelines
———————————————————————————–
Sample Kurtosis = (1/n) * [(x-x bar)^4/ (sd)^4]

[Sample Kurtosis- 3= Ke Value]

Ke > 0 leptokurtotic
Ke < 0 platykurtotic
Ke = 0 mesokurtotic

19
Q

LOS 8.M: Compare the use of arithmetic and geometric means when analyzing investment returns

A

Arithmetic Means are used to determine the current investment return from extrapolation based on past data.

Geometric means are used to determine the future investment return 5 years into the future to find 1 time value to multiply when compounded annually.