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A level Statistics quiz
A level Statistics quiz
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Stats for A level Biology
Flashcards
11 cards
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Practice quiz
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Questions
11
Answers
1
What does P stand for?
Proportion
Prediction
Chance
Probability
2
Which of these is not a statistical test of probability?
Spearman's rank correlation coefficient
Simpson's index
t test
Chi2
3
Under what circumstances would you choose to use a Spearman test?
A count of the number of bubbles related to light intensity
Comparing the mean height of crops in different soils
Comparing how many recovered after different treatments.
You want to correlate two diversity indices with eachother
4
The point of statistics is to assign a probability that
your data is accurate
you were wrong to reject or not reject Ho
there is a significant difference
there is not a significant difference
5
In what circumstance would you choose to use a t test
When you are comparing two means of the same measurement
When you are looking for a correlation
When you want to know the diversity
When you are looking for differences between counts
6
What's the chance you're wrong to reject H
o
if your calculation was > critical value at P=0.01
99%
1%
1
0.99
7
P stands for the probability of what?
probability of being wrong to reject or not reject Ho
probability of rejecting Ho
probability of being right to reject or not reject Ho
probability of accepting Ho
8
You are safe to reject the H
o
when...
Your calculated value > the critical value at P=0.05
Your calculated value < the critical value at P=0.05
Your calculated value < the critical value at P=0.95
Your calculated value > the critical value at P=0.95
9
In Chi
2
what is H
o
?
The null hypothesis that any correlations are due to chance
The alternate hypothesis: there are correlations
The null hypothesis that any differences are due to chance
The alternate hypothesis: there are significant differences
10
You are most sure when your calculated value exceeds the critical value in the P=? column.
P=0.001
P=0.5
P=0.95
P=0.05
11
A large sample is needed to
Increase accuracy of the data
Increase the accuracy of the mean
Reduce the effect of anomalies on the mean
Reduce bias