Introduction Flashcards

1
Q

What is the science of Statistics?

A

The science of learning from data

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2
Q

What is a Population?

A

A group of objects or individuals about which we wish to draw conclusions.

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3
Q

What is a Parameter?

A

A numeric characteristic of a population.

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4
Q

What is the formula to find a Population mean (Mu)

A
Mu = (1/N)*Sum(from i=1 to N) of x_i
N = size of the population
x_i = value of the i-th value of the population.
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5
Q

What is the Population variance (sigma^2)?

A

This summarizes the natural variability among values of the population.
This can be thought of as the average distance from mu

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6
Q

How is the population variance found?

A

sigma^2 = (1/N)* sum(from i=1 to N) of (x_i - mu)^2

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7
Q

How do you find the population standard deviation (aka sigma)?

A

This is the square root of the population variance (sigma^2). Thus, the pop standard deviation = sqrt(sigma^2)

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8
Q

What is the population proportion?

A

This is the same as mu, except every value (x_i) is given either a 1 or a 0, depending upon whether they possess the characteristic you are looking for.
proportion = (1/N)*Sum(from i=1 to N) of x_i

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9
Q

What is a census?

A

What we call it when data is collected from every single subject in the population.

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10
Q

What is a sample?

A

A subset of the population

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11
Q

What is a statistic?

A

A number that describes a sample. It is used to ESTIMATE the population parameter.

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12
Q

Parameter is to population, what…

A

Statistic is to sample.

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13
Q

What formula do we use to find the sample mean (X_bar)?

A

X_bar = (1/n)Sigma (from i=1 to n) of X_i.
n = sample size
X_i = ith sample value.
aka the sum of the values in a list divided by the number of values in the list.

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14
Q

How do we denote the sample variance?

A

s^2. Like sigma^2, but with the sample!

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15
Q

What is the sample proportion, p-hat?

A

Similar to the population proportion, the sample proportion is found the same as X_bar, but each X_i is given a value of 0 or 1.

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16
Q

When is using data from the sample to draw conclusions about the population justified?

A

When a sample is representative of the entire population (sample looks like the population).
This is called “generalizing our results”.

17
Q

What does it mean if something is random?

A

The result of a chance process (human choice does not influence the results).

18
Q

What is a Simple random sample (SRS)?

A

a sample that consists of individuals chosen randomly from the population in such a way that each individual has the same chance of being included in the sample.

19
Q

What is statistical inference?

A

The science of deducing properties of an underlying population from a sample.

20
Q

What is sampling variability?

A

Describes the fact that the value of a statistic will vary from sample to sample.

21
Q

A “hat” on a variable denotes what?

A

That the variable is an estimate!

22
Q

The number of parameters is always equal to…

A

The number of populations