Hard Level 1 Flashcards

1
Q

Sampling techniques

A

SRS - names in a hat

Stratified - split in population into homogeneous groups, select from an SRS from each group

Cluster - split the population into groups (clusters) and randomly select whole clusters as the sample

Census - entire population

Convenience sample - selects individuals easiest to reach

Voluntary response - people choose themselves by responding to a general appeal

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2
Q

Types of chi squared tests

A

GOF - use to compare the distribution of a categorical variable in one population to a hypothesized distribution

Homogeneity - use to compare 2+ populations or treatments

Independence - use to test the association between two categorical variables in one population

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3
Q

Binomial setting and random variable

A

Binary? Each trial classified as fail/ success

Independent? Trials Must be independent

Number? The number of trials must be fixed in advance

Success? The probability of success must be the same for each trial

BINS

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4
Q

4 step process

Confidence intervals

A

STATE: what parameter do you want to estimate and at what confidence level

PLAN: choose appropriate inference and check conditions

DO: if conditions met, perform calcs

CONCLUDE: interpret interval

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5
Q

Conducting a simulation

A

STATE: ask a question about some chance process

PLAN: describe how to use a random device to simulate one trial of the process and indicate what will be recorded at the end of each trial

DO: do many trials

CONCLUDE: answer the question of interest

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6
Q

4 step

Significance tests

A

STATE: what hypotheses do you want to test and at what significance level? Define parameters

PLAN: choose appropriate inference methods
Check conditions

DO: if conditions met, perform calcs
Find test stat and p value

CONCLUDE: make decision about the Ho, Ha

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7
Q

Experimental designs

A

Completely Randomized Design - units are allocated at random among all treatments

Randomized Block Design - units are put into homogeneous blocks and randomly assigned to treatments within each block

Matched Pairs - a form of blocking in which each subject receives both treatments in a random order or subjects are matched in pairs with one subject in each pair receiving each treatment, determined at random

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