Midterm 2 Flashcards

1
Q

What is variance?

A

a statistical measurement of the spread between numbers in a data set

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2
Q

What does variance mean?

A

variance is the expected value of the squared deviation from the mean of a random variable.

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3
Q

How is variance interpreted?

A

Variance tells you the degree of spread in your data set.

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4
Q

What is standard deviation?

A

a measure of the amount of variation of the values of a variable about its mean.

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5
Q

What are Z scores?

A

the number of standard deviations by which the value of a raw score is above or below the mean value of what is being observed or measured.

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6
Q

How are z scores interpreted?

A

A positive Z-score shows that your value lies above the mean, while a negative Z-score shows that your value lies below the mean

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7
Q

What are the qualities of normal distribution?

A

symmetric, unimodal, and asymptotic, and the mean, median, and mode are all equal.

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8
Q

What is sampling error?

A

A statistical error that occurs when an analyst does not select a sample that represents the entire population of data

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9
Q

What effect does sampling error have on data?

A

Large sampling errors can lead to incorrect estimates or inferences made about the population based on statistical analysis of that sample

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10
Q

What is standard error?

A

a statistic that reveals how accurately sample data represents the whole population

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11
Q

How is standard error estimated?

A

calculated by dividing the standard deviation by the sample size’s square root

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12
Q

What does central limit theorem say?

A

the sampling distribution of the mean will always be normally distributed, as long as the sample size is large enough.

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13
Q

Why is central limit theorem relevant?

A

it allows one to assume that the sampling distribution of the mean will be normally distributed in most cases.

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14
Q

What are confidence intervals?

A

a tool for estimating a parameter, such as the mean of a population.

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15
Q

What is the proper interpretation of confidence intervals?

A

describes the uncertainty inherent in this estimate, and describes a range of values within which we can be reasonably sure that the true effect actually lies.

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16
Q

What is confidence?

A

another way to describe probability

17
Q

What is t-distribution?

A

a continuous probability distribution that generalizes the standard normal distribution.

18
Q

What is degrees of freedom?

A

the number of values in the final calculation of a statistic that are free to vary.

19
Q

Formula of mean

A

m = sum/number

20
Q

Formulas for z scores

A

z= x-mean/sd

21
Q

Formula for Interquartile range

A

IQR = (Q3) - (Q1)

22
Q

Formula for standard error

A

SE=SD/√N

23
Q

Formula for margin of error using z

A

MOE= Z x SD/√N