BASIC MIDTERM REVIEW! Flashcards

1
Q

3 possible test statistics

A

Binomial test (data to a specific hypothesized value)

Chi-squared goodness of fit test (ass no less than 1, no more than 20% less than 5)

Chi-squared contingency analysis (independence btwn 2 cat variables)

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2
Q

calc mean

A

average, calc like an average

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3
Q

median

A

middle measurement in a set of ordered data

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4
Q

standard deviation

A

symbolized by s = Positive square root of the variance!!! sqrt(s^2)

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5
Q

variance

A

*****. 1. Determine value of Y bar - MEAN OF SAMPLE/AVERAGE!!!!!

s^2 = sum from 1 to N of (sample value - average value)^2 / n - 1

n = sample size

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6
Q

standard error

A

the standard deviation of an estimate’s sampling distribution

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7
Q

odds

A

odds of success/odds of failure

if p = odds of success

odds = p/ (1-p)

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8
Q

odds ratio

A

odds of success in one group/odds of success in the other

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9
Q

BAE’s rule (Bayes theorum)

A

P(A|B) = P(B|A) * P(A) / P(B)

WHERE P(A|B) = probability of A given B

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10
Q

Graphs for single categorical variable

A

Bar graph, histogram, cumulative frequency distribution

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11
Q

Graphs for 2 variables: cat/cat

A

contingency table, grouped bar graph, mosaic plot

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12
Q

graphs for 2 variables: cat/num

A

multiple histograms, cumulative frequency distribution, line plot for cordial data only

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13
Q

graphs for 2 variables: num/num

A

scatter plot, line plot, map????

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14
Q

mode

A

most common value

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15
Q

range

A

max - min value

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16
Q

coefficient of variation

A

rep by CV = 100% s/Ybar = 100% standard deviation / average

17
Q

why does coefficient of variation matter?

A

significancy of variation changes based on how large an organism/ something is

18
Q

equation for (x / X) in binomial prob distribution equation

A

n! / [X! * (n - X)!]

19
Q

0!

20
Q

1!

21
Q

mean of a binomial distribution

A

u = np where n = # of trials, p = probability of success

22
Q

variance of binomial distribution

23
Q

phat of a sample

A

proportion of successes in a sample (p hat) = X / n where X = number of successes, n = ind in a sample

24
Q

mean of sample proportion

A

mean = p (the sample proporiton of successes)

25
variance of sample proportion
p(1-p) / n
26
degrees of freedom for a chi squared test
df = (number of categories) - (number of parameters est. from the data) - 1
27
standard deviation of a sample mean
sd of mean = standard deviation / sqrt (n)