Exam 2 Review Flashcards

1
Q

How do you calculate if something is out of control?

A

u+- 3 sigma/

Square root of n.

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2
Q

Central limit theorem

A

When sampling from a non-Normal population, the sampling distribution of x is
approximately Normal whenever the sample is large and random.

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3
Q

Formula for correlation is ___ are x and y interchangeable?

A

r= 1/n-1 x E(xi-xbar/Sx(s.d.)*(yi-ybar/Sy(s.d)) yes

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4
Q

Law of large numbers

A

The fact that the average ( x ) of observed values in a sample will get closer and closer
to μ as the sample size increases.

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5
Q

b=

A

r*(Sy/Sx)

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6
Q

mean of the sampling distribution of x

A

the mean of all the sample means ( x =s) from all possible samples of
size n from a population; equals μ.

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7
Q

no association

A

A condition where values of one variable occur independent of values of another variable;
detected when the conditionals of a two-way table equal the marginal distribution (and each other.)

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8
Q

parameter symbols: μ, σ, and p

A

mean of population, standard deviation of population, proportion of a
population, respectively

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9
Q

For regression analysis, you have to have # _______of _______

A

2 variables of quantitative value

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10
Q

r2:

A

The percentage of total variation in the response variable, Y, that is explained by the regression equation; in
other words, the percentage of total variation in the response variable, Y, that is explained by the
explanatory variable, X.

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11
Q

statistic symbols: x , s, p

A

mean of sample, standard deviation of sample, proportion of sample, respectively

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12
Q

unexplained variation:

A

The sum of squared residuals

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13
Q

The formula for Standard deviation of sampling distribution of x is

A

sigma/ square root of n.

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14
Q

with correlation, x and y are interchangable

A

Yes

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15
Q

do correlation variables have to be quantitative, or regression variables?

A

both

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16
Q

regression- can you interchange x and y?

A

NO

17
Q

b= slope

A

the average change in Y for every 1 unit increase in Xb= slope, the average change in Y for every 1 unit increase in X