Chapter 6 Flashcards

1
Q

Standard normal distribution

A
  1. Bell shaped graph
  2. Mean = 0
  3. SD = 1
  4. Area under curve = 1
  5. Correspondence between area and probability.
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2
Q

Uniform distribution

A

Values are spread evenly

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3
Q

Continuous density curve

A
  1. Area under curve = 1

2. Every point on the curve > 0

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4
Q

Less than z score problems

A

Use number from chart

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5
Q

More than z score problems

A

1 - number from chart

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6
Q

In between 2 z score problems

A

Bigger probability - smaller probability

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7
Q

P(a < z < b)

A

P that a z score is between a & b

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8
Q

P(z > a)

A

P z score greater than a

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9
Q

P(z < a)

A

P z score is less than a

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10
Q

In between 2 probabilities problem

A

Find z score 1-the positive

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11
Q

Critical value

A

z score on the boarder of likely to occur vs unlikely

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12
Q

A

Z score of α area to the RIGHT

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13
Q

Nonstandard normal distribution formula

A

z= x-μ/α (round z scores to 2 decimal places)

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14
Q

Nonstandard normal distribution between 2 #s

A

First find z scores, then subtract probabilities

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15
Q

Distences

A

Z scores

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16
Q

Areas, regions

A

Probability

17
Q

Nonstandard normal distribution: finding z score

A

Use P to find Z then, x=μ+(z*α)

18
Q

Sampling distribution of a statistic

A

The distribution of all values when al possible samples are the same size from the same population. (usually displayed as a probability distribution.

19
Q

Sampling distribution of a mean

A

Distribution of means of all samples of the same size of the same population. Mean of means is Pop mean. Normal distribution.

20
Q

Sampling distribution of a variance

A

Distribution of all variances of all samples of the same size of the same population. Mean of variances is Pop variance. Skewed to the right.

21
Q

Sampling distribution of a proportion

A

Distribution of a specified proportion of all samples of the same size of the same population. Mean of proportion is Pop mean. Normal distribution.

22
Q

Biased estimators

A

Do not target (represent) the population parameter when repeated indefinitely on samples. Include median, range, and SD. SD bias is small in large samples.

23
Q

Population σ^2

A

Σ(x-μ^2)/N

24
Q

Sample s^2

A

nΣ(x^2)-(Σx)^2/n(n-1)

25
Q

Notation of proportions

A

p=pop proportion ^p=sample proportion

26
Q

Expected value of sampling distribution statistic

A

Mean of the sample statistics, and the expected value of the population

27
Q

Find Zσ/2

A

Take 1- given number/2 look on A2 find Z