Statistics
Quiz yourself by thinking what should be in
each of the black spaces below before clicking
on it to display the answer.
Help!
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Define population | show 🗑
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show | Some subset of the population intended to represent the population
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Define sampling unit | show 🗑
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Define sampling frame | show 🗑
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Define census | show 🗑
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Define simple random sample | show 🗑
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show | -No bias
-Easy
-Cheap
-Equal selection chance
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Disadvantages of simple random sample | show 🗑
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show | -Elements ordered into list
-Every kth element
-k=pop size/samp size
-Start at random number between 1 and k
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Advantages of systematic sample | show 🗑
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Disadvantages of systematic sample | show 🗑
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Define stratified sample | show 🗑
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show | -Reflects population structure
-Proportional representation within population
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Disadvantages of stratified sample | show 🗑
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show | -Population divided into groups according to sampling frame
-Interviewer selects quotas to reflect groups proportions
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Advantages of quota sample | show 🗑
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Disadvantages of quota sample | show 🗑
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Define opportunity sample | show 🗑
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Advantages of opportunity sample | show 🗑
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Disadvantages of opportunity sample | show 🗑
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What is the equation for a stratified sample | show 🗑
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What is the difference between qualitative and quantitative data | show 🗑
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What is the difference between discreet and continuous data | show 🗑
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show | Greater than Q3+k(Q3-Q1)
Less than Q1-k(Q3-Q1)
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Define cleaning the data | show 🗑
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What do we plot for cumulative frequency diagrams | show 🗑
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What is the equation for frequency density | show 🗑
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When do we use a histogram | show 🗑
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show | Discreet data
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show | -Measure of location
-Measure of spread
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show | X
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show | Y
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Define bivariate | show 🗑
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Define causal relationship | show 🗑
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Define interpolation | show 🗑
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Define extrapolation | show 🗑
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What is the purpose of a regression line | show 🗑
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When can we use regression lines | show 🗑
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Define mutually exclusive | show 🗑
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show | P(A)+P(B)
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Define independent events | show 🗑
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show | P(A) x P(B)
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Define random variable | show 🗑
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show | All probabilities are the same
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show | 1
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When can you model a random variable with a binomial distribution | show 🗑
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show | P(X≤Y-1)
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P(X≥Y)= | show 🗑
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P(X>Y)= | show 🗑
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show | The result of the experiment or the statistic that is calculated
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show | The hypothesis you assume to be correct
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Define alternate hypothesis | show 🗑
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show | A region of the probability distribution which if the test statistic falls within it would cause you to reject the null hypothesis
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Define critical value | show 🗑
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What is the actual significance level | show 🗑
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What are the steps of a one tailed hypothesis test | show 🗑
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show | Halve the significance level
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show | loga+nlogx
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show | logk+xlogb
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What does the PMCC describe | show 🗑
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When can the PMCC be used | show 🗑
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If we are hypothesis testing for correlation what are the null and alternate hypothesis | show 🗑
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show | P(P|A)
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What is the rule for independent events and conditional probability | show 🗑
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show | P(A∪B)
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(P(B∩A))/(P(A))= | show 🗑
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What are the probability symbols for and and or | show 🗑
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Created by:
Liam P
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