Statistics Flashcards

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1
Q

what are stats tests used for

A

to determine whether differences between data sets are significant or if it is due to natural variation.

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2
Q

how do u plot the data u collect in stats

A

in a normal distribution curve

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3
Q

what is the mean

A

the average value and it is the maximum height of the normal distribution graph

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4
Q

what is the standard deviation

A

the spread about the mean

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5
Q

to what confidence/percentage do biologists use for the s.d.

A

95% = 1.96 s.d.
95% of pop lie within this value

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6
Q

how can u use a graph to visually see the variation

A

if the curve is wide then it means there is a lot of variation in the sample

if the curve is quite narrow there is not much variation

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7
Q

in a normal distribution, what is the percentage of the pop that lies within one s.d. above pr below the mean

A

68%

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8
Q

how much of the pop lies within 2 s.d. above or below the mean

A

95%

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9
Q

how is standard deviation a better way to measure the spread than the range

A

it is less affected by extreme values

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10
Q

how can standard deviation values be used to plot error bars

A

plot one standard deviation above the point an one below so that the total length of the bar is 2 standard deviations

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11
Q

how to work out s.d on calculator

A

press mode
then press 2
press 1 ad go on table
put in values
press AC
shidt then no 1
no. 4
and then no. 4

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12
Q

which eq should u always use for bio

A

use the sample one = n-1

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13
Q

example calc - mean IQ is 100 with s.d. 15
a) bwt what IQ’s do 95% fall

b) what proportion have IQ over 130

A

mean = 100
s.d. = 15
95% lie with +/- 2 s.d.
95% of pop 100 +/- (2x15)
IQ range 70 —-> 130

b) 2.5%

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14
Q

what is a working hypothesis

A

idea of what you think might happen

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15
Q

what is a null hypothesis

A

what you think will not happen

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16
Q

What should u make sure that u do before starting analysis

A

write down null hypothesis

17
Q

what probalilty do u work with

A

0.05 probability level = P=0.05

18
Q

what results of stats are we looking for

A

95% chance it is significant and not due to chance
or 95% that result was due to chance

19
Q

what test do u use if u need to compare two sets of data when u have 30 values in each data set and the data is normally distrubuted

A

the t-test

20
Q

what does the t-test find

A

wether the difference between the means is significant

21
Q

what are the two types of t-test

A

unpaired
paired

22
Q

what is an unpaired t-test

A

used for comparing the means from two groups of different individuals eg the height of limpets in two different habitats

23
Q

what is the paired t-test

A

this is used when the data is from the same individuals eg measurement taken from the same people before and after a drug test

24
Q

will the t value be larger or smaller if the results are significant

A

larger

25
Q

will the t value be larger or smaller if the results are not significant

A

smaller

26
Q

how to carry out an unpaired t-Test

A

-start with null hypothesis - there is no significant difference between the means no of …
-calculate the mean for each data set
-calculate the standard deviation for each data set using the formula/ calculator
-put the mean and standard deviation values into the t-Test formula to calculate t value
-calculate the degrees of freedom
-look up critical value at P=0.05 and compare with calculated p value
-conclusion

27
Q

what is the degree of freedom

A

number of samples - 1

28
Q

what is the conclusion if the tcalc >/ tcrit

A

-null hypothesis is rejected
- there is a significant difference between the two mean values
-with less than a 5% probability of the results being due to chance

29
Q

what is the conclusion if the tcalc /< tcrit

A

-the null hypothesis is accepted
-there is no significant difference between the two mean values
-there is a 95% probability of results being due to chance

30
Q

what is the spearmans rank correlation coefficent

A

used to look for associations between different measurements from the same sample
-use to test the strength and direction of the correlation

31
Q

how to set up spearmans rank

A

-set up a table
-place the values from each site into columns
-rank each - the most being 1
-is there are two values add next two ranks together and divide by 2
-minus the two ranks from each other -A-B
-square this value
-add these tg
-sub into eq
1- (6x sum of D2/ n^3 x n)

32
Q

next steps after calc spearmans rank

A

find on critical value of coefficent
interpret stats
calc is bigger then reject null - sig correlation
crit bigger then accept nul - no sig correlation

33
Q

what is the chi-squared test

A

looking at frequencies of individuals in different categories - difference bwt predicted and observed is significant

34
Q

what are chi-squared tests often used

A

genetic crosses

35
Q

what is the chi-squared formula

A

sum of (O-E)^2/ E

36
Q

how to set up chi-sqaured table

A

obsereved no and total
expected no and total
O-E
(O-E)^2
(O-E)^2/E and then total

37
Q

how to find expected values

A

divide total of observed by no of locations

38
Q

how to find expected values for more complicated chi-squared

A

times total of site 1 by total column over pverall total

39
Q

chi-sqaured step 2

A

find degrees of freedom
for compliacted ones - ( number of rows-1 ) x (number of columns -1 )
then find critcal values
and use same conclusion for others