Statistics Flashcards

1
Q

what is a null hypothesis? what is an alternative hypothesis?

A

null: independent variable had no effect on dependent variable

alternative: independent variable had an effect on dependent variable

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2
Q

what is p value?

A
  • probability value
  • probability that the NULL hypothesis is supported
  • low p-valie = indep prob has effect on dep

alpha = 0.05 –> critical value

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3
Q

what is degrees of freedom?

A

number of samples - 1

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4
Q

what is a continuous variable?

A
  • quantitative value (any value between 0 and infinity)
  • event count data (whole numbers)

ex. height, number of leaves

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5
Q

what is a categorical variable?

A
  • limited number of fixed value

ex. assign 3 diff temperatures

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6
Q

if the dependent variable is continuous and the dependent variable is continuous, what statistical test would you perform?

A

correlation test
- pearson correlation coefficient, n value (sample size), and p -value

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7
Q

how would you present data in a correlation test?

A
  • line/scatter plot

error bars possible around point on statter plot

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8
Q

``

what is the difference between regression and correlation?

A
  • correlation: unsure if variable has an effect on other variable
  • regression: expectation that one variable has an effect on the other
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9
Q

what is the multiple R value?

A

pearson correlation coefficient

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10
Q

if the dependent variable is continuous and the independent variable is categorical woth 2 treatments, what statistical test would you perform?

A

t-test
- t-test value, degrees of freedom, p value

ex wet vs dry, cold vs hot, two locations

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11
Q

how would you represent data if indep vairable is categorical with 2 treatments?

A

bar graph of mean values of each treatment with 2 columns and error bars

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12
Q

what are standard error vs deviation? difference?

A
  • measurements of amount of variation in a sample

deviation: how spread out the data are in the dataset

error: estimate of how precise the mean estimate is

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13
Q

calculating standard error?

A

standard deviation / square root of number of samples

standard error < standard deviation

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14
Q

when to use standard deviation?

A

describing how variable the data in a dataset are

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15
Q

when to use standard error?

A

when quantifying the uncertainty around an estimate of the mean

standard error bars overlap = no difference between means

no overlap = treatment is significantly different for each other

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16
Q

what is t-test paired vs t-test two sample?

A

paired: same individuals under both conditions
two sample: different individuals for each treatment

use + value for t statistic

17
Q

if the dependent variable is continuous and the independent variable is categorical with more than 2 treatments, what statistical test would you perform?

A

ANOVA
F-stat, first df, second df, p value
1st df: # groups/treatments -1
2nd df: > 1st df

18
Q

how would you represent data if indep vairable is categorical with more than 2 treatments?

A

bar graph of means of each treatment with error bars (standard error)

19
Q

what is a characteristic of ANOVA/having multiple categorical indep variables?

A

significant difference among treatments, but we don’t know which treatments have the same effect and which onces are different

to determine this we do a POST-HOC test = multiple t-tests

20
Q

what does a post-hoc test do? how do you do it?

A

tells you which treatments are different from each other/have different effects on dep variable

do as many t-tests as the number of comparisons to equal post-hoc test

21
Q

how do you analyze and report post hoc test data? how is the results represented on the graph?

A

analyze:
- compare each t test to corrected alpha/critical value; low p value = sig difference between treatments;
- if sig diff, assign diff letters; if no sig diff, assign same letter
- this is seen on graph bc no sig diff = error bars overlap

report:
- say if sig diff and say p value and say which group had higher value

22
Q

what happens to alpha/critical value in post-hoc test? why do we do this?

A

alpha value/# comparisons(# tests done between each of the treatments)

more tests = increase likely hood that p-value is less than 0.o5 by chance

test ex. 4 treatments = A+B, A+C, A+D, B+C, B+B, C+D = 6 tests

23
Q

what is included in fig caption?

A

indep, dep variables, SE, short interpretation of result (sometimes)

24
Q

where does legend appear in relation to table?

A

above table