MC: Estimation & Interference Flashcards

(14 cards)

1
Q

Define sample error

A

Sample error is the difference between a sample statistic, and the true population parameter

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2
Q

The larger the size of n, the closer the sample mean will be to_____.

A

The population mean

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3
Q

Example of sample mean versus population mean.

A
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4
Q

Dispersion of sample means around the population mean is denoted by ____.

A

Variance/ N

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5
Q

The standard deviation of the distribution of sample means , X bar, is called ______.

A

the standard error of the sample mean

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6
Q

What is the standard error of the same mean equation?

A
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7
Q

When would you use the sample standard deviation in calculation of Standard error?

A

When population standard deviation isn’t known.

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8
Q

As sample size increases, the standard error will _____.

A

Decrease

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9
Q

What is the difference between standard deviation and standard error?

A

Standard deviation is the dispersion of a SINGLE observation from a distribution.

Standard error is the dispersion of the SAMPLE MEANS around around the distributions TRUE POPULATION MEAN.

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10
Q

What is the confidence intervals formula?

A
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11
Q

What are the 3 properties of the “Student’s T” distribution?

A
  1. Symmetrical
  2. Fatter tails than normal distribution
  3. Defined by single parameter, degrees of freedom (df = n-1)
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12
Q

When do you use the students t distribution?

A

When population std isn’t known, use sample std in the standard error calculation.

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13
Q

Sample mean follows the student’s t distribution instead of a _____.

A

Normal distribution

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14
Q

When calculating confidence intervals look for…..

A
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