Lean Six Sigma Training Flashcards

TO BE A CLSSYB

1
Q

refers to the central or typical value around
which data points tend to cluster.

A

central tendency

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2
Q

Central Tendency refers to the
central or typical value around
which data points tend to
cluster. Usually called as __________

A

averages

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3
Q

what are the measures of central tendency?

A

mean, median, mode

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4
Q

this measure of CT sums all the values in the data-set and divides it by the total number of values

A

mean

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5
Q

this measure of CT uses the most common value

A

mode

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5
Q

this measure of CT arranges in order all the values (highest ->lowest) and picks the middle value

A

median

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5
Q

data set = 1,2,3,4,5
(1+2+3+4+5)/5 is an example of which measure of CT?

A

Mean

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6
Q

data set =2,3,4,5,3,6
= 3

is an example of which measure of CT?

A

3

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6
Q

data set = 5,2,1,4,3,3
= 5,4,3,3,2,1
= (3+3)/2

is an example of which measure of CT?

A

Median

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6
Q

Arithmetic Mean (or, simply, “mean”) is ________

A

nothing but the average

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7
Q

is calculated when certain values
in a data set are more important than the others.

A

weighted mean

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7
Q

an appropriate measure when
values change exponentially

A

geometric mean

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7
Q

when is harmonic mean appropriate to be used?

A

in situations where the reciprocals of values ar more useful

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7
Q

what does the central limit theorem state?

A

regardless of the shape of the population
distribution, the sampling distribution of
the sample mean will approach a normal
distribution as the sample size increases.

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7
Q

Samples are selected randomly
from the population to ensure that they are
representative

A

random sampling

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8
Q

what does independence mean?

A

the selection of one sample does
not influence the selection of another.

9
Q

when is sample size sufficiently large?

A

n ≥ 30

10
Q

what is data variation?

A

the differences or dispersion observed among individual data points in a dataset.

11
Q

why is understanding variation important?

A

Understanding variation is essential
for making informed decisions,
drawing conclusions, and making
predictions based on data

12
Q

three types of data variation

A

within-group

between-group

total

13
Q

a Variation observed between
different groups or samples in a
dataset

A

between-group variation

14
Q

a Variation observed within
individual groups or samples in a
dataset

A

within-group variation

15
Q

what are the measures of data variation?

A

range
variance
standard deviation
interquartile range

16
Q

What is range?

A

DIFFERENCE BETWEEN MAX AND MIN VALUES in a data set

17
Q

a measurement of how far each number in a data set is from the mean/average and thus from every other number in the set

A

variance

18
Q

A statistic that measures the dispersion of a data set relative to its mean and is calculated as the square root of the variance

A

standard deviation

19
Q

The range between the first and third quartiles of a dataset which describes the middle 50% of the data.

A

Interquartile Range

20
Q

ways to visualize data variation

A

box plot

histogram

scatter plot

21
Q

they represent the distribution and variation of data

A

box plots

22
Q

____________________ show the frequency distribution and variation of data across
different bins or intervals

A

histogram

23
Q

_____________ visualize the relationship between variables and the spread of data points

A

scatter plots

24
Q

what is variation?

A

refers to the differences
or fluctuations that occur in
processes, outputs, or outcomes
over time

25
Q
A