Week 1 - Making Sense of Data Flashcards

1
Q

If people’s survey scores about a company’s health insurance plans are not very varied, then the average score is…

A

An average score likely to be representative of the group when… Lecture: Module 1, Part 1

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2
Q

What is the most common measure of variability?

A

Define standard deviation. Lecture: Module 1, Part 1

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3
Q

If a sample is appropriately large, then the mean for the sample _______________ the population it’s from.

A

A mean of a sample meaningfully represents or accurately describes the population it comes from when…

Lecture: Module 1, Part 1

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4
Q

Define inferential statistics.

A

____________ involves using what you observed in a sample to make inferences about the broader population.

Lecture: Module 1, Part 2

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5
Q

What is the difference between a statistic and a parameter?

A

A ____________ is a summary of the data you have collected or have on hand to analyze (usually from a sample), while a _______________ is a desriptor of the population.

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6
Q

What is a discrete variable?

A

can only take on finite number of values OR

be measured in whole numbers

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7
Q

What is an example of a statistic (1) and a parameter (2)?

A

The feeling of a company as a whole about the company’s health insurance is a ___________,

(is this the same as saying the average response if the entire company is surveyed?)

While the average response from a sample of employees is a _______________.

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8
Q

The mean is the best representative of the average when….

A

When a variable is distributed normally/

makes up a normal distribution,

___________ is the best representative of the average.

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9
Q

What is the median?

A

What is the measure of the average where 50% of measures lie above it, and 50% below (get a better defintion).

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10
Q

The median is the best representative

of the average when…

A

When a variable is not distributed normally,

the __________ is the best representative

of the average.

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11
Q

A percentile is _____________.

Lecture: Mod. 1, Part 2

A

_____________ is a number such that p% of scores fall below it and (100-p)% fall above it.

Lecture: Mod. 1, Part 2

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12
Q

When you see a sum divided by n,

you are working with an ___________.

Mod. 1, Part 3

A

A good sign you’re working with an average is

___________________.

Mod. 1, Part 3

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13
Q

When you see a squared difference score,

you are likely looking at ______________.

Lecture: Mod. 1, Part 3

A

A measure of variability are usually represented

by ________________.

Lecture: Mod. 1, Part 3

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14
Q

The average deviation score from the mean

is ___________.

Lecture: Mod. 1, Part 3

A

Zero is the average deviation score from

____________.

Lecture: Mod. 1, Part 3

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15
Q

Variability formulas square the distance

from the mean because the average distance

from the mean __________________.

Lecture: Mod. 1, Part 3

A

Variability formulas _________________________

because the average distance from the mean

will always be zero.

Lecture: Mod. 1, Part 3

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16
Q

The difference between ______________

and __________ is a deviation score.

Lecture: Mod. 1, Part 3

A

The difference between any individual’s score

and the mean is a _____________.

Lecture: Mod. 1, Part 3

17
Q

___________ is the average

of the squared deviation scores.

Lecture: Mod. 1, Part 3

A

The variance is __________

of the _____________.

Lecture: Mod. 1, Part 3

18
Q

The standard deviation is _________________

of the variance and represents the

__________________________ in the sample.

Lecture: Mod. 1, Part 3

A

The _____________ is the square root

of the ____________ and represents the

average deviation/distance from the mean in the sample.

Lecture: Mod. 1, Part 3

19
Q

If you know the _________ and the _____________

you can describe ______________________

as long as the distribution is close to normal.

Lecture: Mod. 1, Part 3

A

If you know the mean and the standard deviation

you can describe the entire distribution of scores

as long as _____________________.

Lecture: Mod. 1, Part 3

20
Q

N-1 is the denominator of equations for the variance and standard deviation of ____________.

Lecture: Mod. 1, Part 3

A

________ is the denominator of equations for the variance and standard deviation of a sample.

Lecture: Mod. 1, Part 3