Exam 3 Lecture 2 Flashcards

1
Q

Central tendency is ok, but it’s just not enough. What are some other words for variety?

A

The average doesn’t tell you the whole story. VARIETY is the spice of life! Range, variance, dispersion, variability.

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2
Q

Variety

A

Variance, dispersion, uncertainty

If everyone is the same, there is nothing to contemplate or predict.
- We’d just know. Oh, you’re human, your HR= 72.

It’s that people vary and we want to figure out what explains their differentness or predict what will happen.
- Oh, your HR = 120. Mine is 52. I wonder why?
- Differences: You’ve got heart disease. I’m an athlete.
- Oh, your HR =120. Mine is 52. I wonder if I can run a mile faster than you?
- Prediction: Yep, I can!

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3
Q

Dispersion, range, and variance can ______________ while mean stays the same.

A

CHANGE. Range matters!

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4
Q

Town 1:
$105,000 - $6,700,000, median $312,000

Town 2:
$300,000 - $319,000, median $312,000

These towns have the same MEDIAN house price, so what’s different about them?

A

The amount of VARIABILITY in prices.
Why does this matter?
If you have $325,000, which town will be more likely to have the house of your dreams?

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5
Q

How to measure variation (easy method)

A

Range= simplest way to measure variation/variability/variance/variety
- The spread from smallest (minimum) to biggest (maximum) number in the dataset.
- Calculated as (max - min)
Range can be used to determine best and worst, fastest and slowest.

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6
Q

Range shows

A

VARIATION/ VARIABILITY/ VARIANCE/ VARIETY. Shows the difference between the smallest and biggest numbers in the dataset.

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7
Q

Equation for range

A

Max value - min value

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8
Q

But range as a measure of variability is limited!

A

A range of 6,000,000 is:
- small if you are talking about national debt, which is in the trillions
- reasonable if you are talking about house prices in the Hollywood Hills
- enormous if you are talking about red blood cell count (should be 4-5 million)

Range is not grounded by the scale of the variable.

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9
Q

Range is limited because

A

It is simple to calculate but it doesn’t take into account the scale of the data.

Imagine two datasets:
Dataset 1: Values range from 10 to 20 (range of 10)
Dataset 2: Values range from 100 to 110 (range of 10)

In both cases, the range is 10. However, the data in set 2 is spread out over a much larger scale than set 1, so the range can be a limited scale of variability.

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10
Q

The better way to measure variation is

A

Standard Deviation

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11
Q

What is standard deviation?

A

A ‘standard’ tells you that the variation is being measured RELATIVE TO something else&raquo_space;»> the mean

  • The standard deviation is the average amount that the numbers in a dataset differ from the average.
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12
Q

Standard Deviation is ________. It’s the _________ from the mean.

A

Standardized. It’s the deviation from the mean.

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13
Q

What standard deviation formula should you use in excel?

A

Stdev.s

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14
Q

If your data follow a ___________, then your data have a ‘normal distribution’. If your data have a normal distribution, then you can use __________.

A

If your data follow a bell curve, then your data have a ‘normal distribution’. If your data have a normal distribution, then you can use common statistical analysis tools.

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15
Q

Bell Curve

A

Most values in the data set are close to the middle/central tendency.
The further you get from the central tendency, the fewer the data points.

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16
Q

Normal Distributions

A

Any situation where most people are in the middle, some are better, some are worse. Central tendencies peak= common values.
The data values in a dataset follow a pattern…
- The distribution of data values is as expected
- No weird numbers
- No clusters of numbers that are NOT near the central tendency
This is a naturally occurring distribution in many situations
- IQ, SAT, GPA, BP, height
BUT some data are NOT NORMAL

17
Q

Tricks to know: Is it normal?

A

When the distribution is normal, the following are true:
- Mean = median = mode
- It is symmetrical
- Half of data are on the left; half the data are on right

18
Q

What is the peak and what are tails?

A

The peak represents the common values while the tails represent the rare values.

19
Q

Normal Distributions

A

The shape of the curve allows us to predict how people will score.
The distribution is proportional
- 68% will score within 1 standard deviation from the mean
(34% will be a little better than average, 34% will be a little worse than average. The slope isn’t that steep).

  • 95% will score within 2 standard deviations from the mean (27% more)
  • Slope is really steep!

-99.7% will score within 3 standard deviations from the mean (4.7% more)
- Slope starts to flatten out
- These #s are rare

20
Q

__________ is always center, but ________ is not necessarily the center.

A

Median is always center, but mean is not necessarily the center.