Stats Exam 2 Flashcards

1
Q

What is a descriptive project

A

describes situation, not carry out hypothesis test

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2
Q

what is a differences project

A

compares two sets of data, hypothesis relates to differences between two sets

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3
Q

what is a correlation/regression project

A

emphasis on linking variables, looking at strength and direction of links between two or more variables

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4
Q

what is an association project

A

looking for links between variables that are categorical

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5
Q

what graph to use of a descriptive project

A

histograms, density plots, boxplots

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6
Q

what graph to use for differences projects

A

bar charts and boxplots

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7
Q

what graph to use for a correlation/regression project

A

scatterplots and line plots

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8
Q

what graph to use for association projects

A

bar charts and pie charts

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9
Q

What is the outcome of hypothesis testing

A

likelihood that a hypothesis is correct

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10
Q

what do we test when we test a hypothesis

A

the null

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11
Q

how does the p-value help make conclusions

A

tells the probability that the null hypothesis is correct

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12
Q

what conclusions can we draw with a p-value

A

reject or fail to reject null hypothesis (no change/difference)

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13
Q

code to make a histogram

A

hist(object)

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14
Q

code to make a boxplot

A

boxplot(object)

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15
Q

code to scale x axis

A

xlim=c(number,number)

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16
Q

code to scale y axis

A

ylim=c(number, number)

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17
Q

code to label x axis

A

xlab=”title”

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18
Q

code to label y axis

A

ylab=”title”

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19
Q

code to title graph

A

main=”title”

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20
Q

code to change graph color

A

col=”color”, or col=c(“color 1”, “color 2”)

21
Q

what kind of test would be used for the alt hypothesis that “a cause has an effect” (not specified positive or negative)

A

two tailed t-test

22
Q

what kind of test would be used for the alt hypothesis that “a cause has a positive effect”

A

one tailed t-test

23
Q

what is popperian philosophy

A

one observation can disprove something but it takes an uncollectable amount of data to confirm something 100%

24
Q

what do frequent statistics measure

A

probability that a null hypothesis is incorrect

25
Q

what is the level of probability that scientists use for deciding what to do with hypotheses

A

0.05

26
Q

study setup that uses a t-test

A

finding the probability of drawing two samples with different means from a common population

27
Q

the increasing of what increases t

A

mean, standard deviation, number of replicates

28
Q

necessary to determine if a t-test can be used

A

Shapiro-Wilk test to determine if data is normal (must be greater than 0.05)

29
Q

r command from a t-test

A

t.test(object)

30
Q

what is the difference between 1 and 2 tailed t-tests

A

1 tailed specifies direction of change, 2 tailed does not specify direction, only that the means are different from the null

31
Q

when should paired t-tests be used

A

when sampling units are not independent and not randomly distributed. repeated observations collected for a single variable with two levels (fishing in the same spot on different days)

32
Q

how do non parametric tests work

A

ranking data

33
Q

r code for nonparametric test equivalent to 2 tailed t-test

A

wilcox.test(object, object)

34
Q

what is the nonparametric equivalent of a 2 tailed t-test

A

Mann-Whitney test

35
Q

what is the nonparametric equivalent of a paired t-test

A

Wilcoxon matched pairs test

36
Q

what is preliminary sampling

A

small study conducted to refine and evaluate sampling size, acceptability, and feasibility

37
Q

what is dummy data collection

A

use research and hypothetical data to decide on number of observations needed to detect and effect

38
Q

what is primary literature investigation

A

using previous research and data to learn about a system as much as possible and see how they can help your study design

39
Q

assumptions when using most stat tests

A

normality, equal variances, linearity, replicate independence

40
Q

pseudoreplication occurs when which statistical assumption is vilated

A

replicate independence

41
Q

what is pseudoreplication

A

if replicates are somehow tied together, not completely random

42
Q

what is simple pseudoreplication

A

only one replicate per treatment and subsamples are collected from each area and treated as replicates

43
Q

what is sacrificial pseudoreplication

A

experimental units are replicated and subsamples are treated as independent samples

44
Q

what is temporal pseudoreplication

A

single replicate per treatment and subsamples are collected from it repeatedly over time and treated as replicates

45
Q

what is phylogenetic pseudoreplication

A

closely related individuals are the units being sampled

46
Q

what is technical pseudoreplication

A

different observers or instruments are used for different parts of the experiment

47
Q

why must converting to categories must be done carefully

A

could create a misleading p-value

48
Q

what is a type 1 error

A

null is true but is rejected

49
Q

what is a type 2 error

A

null is false but not rejected