Fundamentals of statistical testing Flashcards

1
Q

How is the mean calculated?

A

The sum of all the numbers in a data set, divided by how many numbers there are

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2
Q

Standard deviation measures the ____ of data around the ____, on ____.
It is calculated as the average ____ from the ____.

A

spread
mean
average
difference
mean

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3
Q

Numerically speaking, the distribution of data is the number of ____ per each ____ of a ____.
Shows us which values occur ____ often and which ____ often.
Shape formed by the bars of a ____ ____/____

A

observations
value
variable
more
less
bar chart/histogram

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4
Q

Some shapes are ‘algebraically tractable” (there is a maths formula to draw the line). We can use them for statistics because they have particular known properties.
What are five known distributions?

A
  1. Normal
  2. Chi-squared
  3. t
  4. Beta
  5. Uniform
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5
Q

What are two other names for the normal distribution?

A

Gaussian distribution
Bell curve

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6
Q

What are the four key properties of normal distributions?

A

Continuous, unimodal, symmetrical, bell-shaped

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7
Q

What are the proportions of a normal distribution with respect to SD?

A

~68% of the area below the curve is within plus or minus 1 SD from the mean
95% of the are below the curve is within plus or minus 1.96 SD from the mean
99% of the area below the curve is within plus or minus 2.58 SD from the mean

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8
Q

A critical value is a value that ____ off a specific ____ of a ____

A

cuts
proportion
distribution

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9
Q

A sample is a (usually ____) selected ____ of values of a particular ____ taken from a ____ pool of values, often the ____

A

random
subset
size
larger
population

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10
Q

The sampling distribution of the mean is the ____ of the ____ of many ____ of a particular ____.
The distribution is ____ and centred around the ____ population mean, 𝜇
Every ____ has its own sampling distribution

A

distribution
means
samples
size
normal
true
statistic

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11
Q

The central limit theorem states that as N gets ____, the sampling distribution of 𝑥‾ tends ____ a ____ distribution with ____ = 𝜇

A

larger
towards
normal
mean = 𝜇

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