Statistics Flashcards

1
Q

What test determines significant different b/w means of 2 normally distributed groups

A

T-test

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2
Q

What test compares means among 3+ normally distributed groups

A

ANOVA

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3
Q

What test is used when population parameters are definitely known

A

Z-test

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4
Q

What test is used to determine if there is significant different b/w expected frequencies and observed frequencies in 1+ categories

A

Chi-square test

compares differences of categorical (ordinal) data. eg: comparing presence of lung ca in smokers vs nonsmokers

used in case-control studies

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5
Q

Test that estimates the relationships among variables. Estimates the conditional expectation of the dependent variable given the independent variables

A

Regression analysis

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6
Q

QI approach to improve efficiency

A

Small scale: Rapid cycle improvement (RCI)

Large scale: Lean (Value stream mapping)

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7
Q

QI approach to ID & correct root causes of variation & enhance efficiency (roadmap for problem-solving and process improvement)

A

Six sigma

Lean Six Sigma

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8
Q

Improve quality of communication

A

SBAR

TeamSTEPPS

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9
Q

Type II error

A

Statistically significant difference does exist but it is not detected and you accept the null inappropriately

Probability of committing type II error is estimated by beta and is set to 0.20. Common reason is due to low power

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10
Q

Cross-sectional Study

A

Purely observational. Looks at single point in time.
Used for determining disease prevalence.

No causal relationship is inferred.

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11
Q

Randomized controlled-trial (RTC)

A

prospective
subjects randomly assigned to groups and separated based on exposure, and followed to see outcomes

Gold standard for determining causality

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12
Q

Cohort study

A

prospective

Subjects grouped according to exposure status (present or absent) for a risk factor, and then followed to see outcomes

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13
Q

Case-control study

A

Retrospective

Subjects are grouped based on outcomes and then are researched to see whether there was any exposure

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