Ch 5-6 Midterm Flashcards

1
Q

Simple random sample

A

Process that selects sample of “n” objects so each member of population has same probability of being selected

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2
Q

Why we achieve greater accuracy by obtaining random sample

A
  1. Difficult to measure every item
  2. Proper selected samples can be used to obtain estimates of population characteristics
  3. By using probability distribution we can determine error with estimates
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3
Q

Sampling distribution

A

Probability distribution of sample mean

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4
Q

Sample distribution of sample mean

A

Population mean

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5
Q

When variance of Sample mean decreases…

A

Sample size “n” increases

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6
Q

When do we use standard normal distribution for sample mean?

A

When sample mean is normal distribution

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7
Q

Central limit theorem

A

Distribution of sample approximated a normal distribution (bell curve) as sample size increaes

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8
Q

Law of large numbers

A

Sample mean will approach population mean as sample size “n” becomes large regardless of distribution

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9
Q

Acceptance intervals

A

Intervals within which sample mean has high probability of occurring given we know variance and mean

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10
Q

Probability of range using CDF

A

P(a < x < b) = F(b) - F(a)

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11
Q

Properties of density function

A
  1. Area under pdf f(x) = 1.0
  2. f(x) > 0 for all values x
  3. Probability X lies between a and b under pdf
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12
Q

Expected value

A

Average of values taken as numbers of N

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13
Q

What does mean provide

A

Measure of centre of Distribution

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14
Q

What does variance provide

A

Measure of dispersion

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15
Q

Linear functions of random variable

A

W = a + bX

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