Parametric Tests Flashcards

1
Q

what data can parametric tests test

A

continuous and discontinuous distributions

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

examples of continuous data

A

length, time, mass

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

what do parametric tests tell you

A

the probability of a value falling within a range

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

what is a normal distribution defined by

A

mean + varience

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

what is the variance

A

the standard deviation (from the mean)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

what are meristic characters and examples

A

Countable structures that can’t come in halves eg bristles on a fly, chicks in next

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

when can you use parametric stats on meristic data

A

if their distribution is normal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What is the test for normality

A

Shapiro-Wilk test for normality

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

what is the null hyp in S-W

A

normality is the n0

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What should you do when testing for normality if two data sets are being compared

A

both should be tested separately for normality

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

you do a shapiro-wilk test for normality and you get a significant result, what does this mean

A

you reject the null hypothesis - your data is NOT normal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

what is the population distribution and what are paramiters

A

pop distribution is defined by parameters - you want to infer something about a population and you describe a population with parameters

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

what is the standard error of the mean

A

tells you how different the sample mean is from the population mean =
standard deviation/ square root of the sample no.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

what is the central limit theorem

A

95% of observations will fall in the range of +- 1.96 standard deviations from the mean

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

why do smaller sample sizes need a bigger value than 1.96

A

to include 95% of the distribution

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

what test is done for small sample sizes

A

students t test

17
Q

what does a students t test used for

A

comparing 2 small samples

18
Q

what is the null hypothesis for the students t test

A

n0= the two samples were drawn from the same population

19
Q

what is a t test used for and example

A

to compare means of two different samples from the same population eg. treatment and control

20
Q

what is the analysis of variance/when is it used

A

ANOVA - more than 2 samples, range of samples with different treatments

21
Q

You have a large variation in your sample, you want to work out what proportion of that variation is due to the differences between types of sample and proportion due to variation in each sample - what test

A

ANOVA - analysis of varience

22
Q

What is the treatment effect

A

deviation from grand mean

23
Q

What is the residual effect

A

deviation of individual from the mean for its group eg. genotype of a fly