BIOSTATS Flashcards

(36 cards)

1
Q

What does Bayesian statistics allow you to do?

A

Calculate conditional probabilities

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2
Q

What does the Chi squared test allow you to do? What type of answers does it use?

A

Compare results from 2 independent populations…use binary answers

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3
Q

If you have a highly sensitive test…what result are you certain is correct?

A

A negative. Like airport security…want to have highly sensitive test. You know that the people who get thru are fine. You may catch a few innocent people in the process, however.

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4
Q

If you have a highly specific test…what result are you certain is correct?

A

A positive. this would be bad for airport security. The only thing you know is that if you get a positive & catch somebody they ARE guilty. But plenty of guilty people may have sneaked thru.

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5
Q

What is the difference b/w disease prevalence & incidence?

A

prevalence–how widespread the disease is

incidence–rate of occurrence of new cases of the disease

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6
Q

What is selection bias?

A

the reality that a certain type of people are willing to participate in studies…may not be totally representative of the population

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7
Q

What are 2 ways to randomize?

A

Blocked randomization

Stratification

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8
Q

As a sample size increases, _____ increases but you also establish a more firm ________.

A

range increases when sample size increases.

You also get a steady state w/ more normal values.

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9
Q

What is internal validity?

A

How confident you are that your dependent variables in your study solely changed b/c of your independent variable.
Basically….that you had a sound study design.

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10
Q

What is external validity?

A

Extent to which the results can be generalized to other people or settings.

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11
Q

What are some things that can endanger internal validity?

A
Maturation
Testing
Instrumentation
Statistical Regression
Selection Bias
Experimental Mortality
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12
Q

What are some things that can endanger external validity?

A

Pretesting
Interaction
Multiple Treatments
Setting

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13
Q

What is the relationship b/w standard deviation & variance?

A

Standard deviation is the square root of variance.

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14
Q

What determines your degrees of freedom?

A

n-1

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15
Q

A peak on a graph would represent what measurement of the data?

A

the mode!!

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16
Q

If your mean is greater than your median & you have a long right tail…what is your skew?

A

Right/positive skew

17
Q

If your median is greater than your mean & you have a long left tail…what is your skew?

A

Left/negative skew

18
Q

T/F the chi square test has a larger p value than the z test.

A

False. They have the same p value.

19
Q

What question is asked with:

the predictive value of a positive result

A

What is the probability that the patient actually has this disease? They tested positive.
True Positive/True Positive + false positive

20
Q

What question is asked with:

the predictive value of a negative result

A

They tested negative. What is the probability that the patient really doesn’t have the disease?
True negatives/True negatives + False negatives

21
Q

Single subject experiments have high _____ validity, but low _____ validity.

A

High internal validity

low external validity

22
Q

What is a confidence interval?

A

CL = 1 - alpha

how confident you are that the interval contains the true average value

23
Q

What is the role of the null hypothesis?

A

it says that there is no relationship b/w 2 things…it is your job in your experiment to reject the null hypothesis.

24
Q

What is the p value?

A

ranges from 0-1
Tells us something about our null hypothesis.
If p value is low; reject the null. Yay!
If p value is high; accept or fail to reject the null. : (

25
What is the t statistic?
Used when sample is small & it follows a normal distribution
26
What is the z score?
compares a sample to a population...used when sample is large
27
What is the alpha level?
Called the significance level The probability of rejecting the null hypothesis when it is true. Usu alpha= 0.05. It ranges from 0-1 If you are making airplanes: make that alpha low; if you are making paper airplanes: make that alpha high
28
When is something statistically significant?
When the result of the hypothesis test is a p value less than 0.05
29
T/F P value is the probability that your null hypothesis is true.
FALSE
30
If the p value is greater than alpha...what does that mean for the null hypothesis?
We fail to reject the null hypothesis. : (
31
What is type I error? What represents this error?
Rejecting the null hypothesis when it is true. | alpha represents this.
31
What is type I error? What represents this error?
Rejecting the null hypothesis when it is true. | alpha represents this.
32
What is type II error?
failing to reject the null when it was false.
32
What is type II error?
failing to reject the null when it was false.
33
If you want a really awesome test...you choose a small/large alpha & make Type I/II errors more common.
small alpha make it hard to reject the null make Type II errors more common
33
If you want a really awesome test...you choose a small/large alpha & make Type I/II errors more common.
small alpha make it hard to reject the null make Type II errors more common