Quick Review Chapter 9 & 19 Flashcards

1
Q

Why do you suppose it is a called a goodness fit test?

A

we are testing how “good” of a “fit: we have between the data we collected and the results we would have by chance

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2
Q

What is a contingency table?

A

table that shows the frequency of occurance of outcomes of one level of the independent variable across the levels of the other independent variable

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3
Q

What is a double blind study?

A

it is a study in which neither the ppl in the study or the researchers know which condition the partcipant was assingned

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4
Q

what is a marginal total?

A

the total of the rows and the collums and the grand total

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5
Q

how do you use a chi square test to perform test on proportion

A

you convert porportions to frequencies

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6
Q

Risk ratio: another name for it

A

relative risk

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7
Q

what does it mean to say that a risk for cancer among long term smoers and non smokers is 24.2

A

long term smokers have 24.2 more likely to get cancer then a non smoker

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8
Q

In a scatterplot, which variable is plotted on the absiscassa (x axis)

A

if there is an obvious indepedent variable, that goes there- if not its pretty much arbitrary

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9
Q

the regression line should be interpretted as

A

the line that gives the best prediction of Y for a given value of X

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10
Q

A corelation is -.81 is significantly lower then the correlation of +8.1 (true or false)

A

false- the sign only tells us the direction of the relationship

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11
Q

The covariance, by itself is not a satisfactory stattistic for preseting the degree of relationships between variables because

A

it varies with the variance of the underlying variables as well as the degree of the relationship

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12
Q

spearmens correlation coeffecient:

A

a pearson correelation coefficient

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13
Q

list thing things that affect the relationships btw two variables

A

range restricions, heterogeous subsamples, and non linear relationships

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14
Q

We would use a two tailed test of R if

A

we wanted to reject the null if the same was to positive or too negative

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15
Q

a point biserial correlation applies to data where

A

one variable is a dichotomy and the other is continous

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