Test - Statistics and Epidemiology Flashcards

1
Q

Independent variables

A

variable the researcher is manipulating

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2
Q

Dependent variables

A

the effect of the independent variables (outcome variable)

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3
Q

What are the 4 levels of data?

A

Norminal, ordinal, internal, ratio

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4
Q

Norminal

A

the number is a label i.e. male or female

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5
Q

Ordinal

A

has an order - i.e. 1st, 2nd, 3rd in a race

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6
Q

Internal

A

has a fixed value between numbers e.g. temperature

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7
Q

ratio

A

has a fixed value between numbers but has an absolute zero - e.g. time to finish the race, power, forces etc

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8
Q

What are the measures of central tendency?

A

Mean, median, mode

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9
Q

Mean

A

the average of the values

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10
Q

Median

A

the middle number

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11
Q

Mode

A

the most frequent number

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12
Q

What are the masures of variation?

A

Standard deviation (SD) and range

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13
Q

Variation

A

Spread of data

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14
Q

Standard deviation

A

How data is distributed
Measures variation round the mean
How much the members of a group differ from mean value for the group

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15
Q

Range

A

expressed either as the biggest to smallest number in the data or the difference between the biggest to smallest

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16
Q

To determine the effect a treatment (independent variable) has on a measure (dependent variable)

A

Hypothesis testing

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17
Q

Null hypothesis

A

e.g. there is no difference between the flexibility of men and women

18
Q

What is a p-value a measure of?

A

probability - the null hypothesis is true

19
Q

Hypothsis testing steps

A
  1. Set a null hypothesis
  2. Set research (alternative) hypothesis
  3. Set significance level
  4. Collect data
  5. Statistical test
  6. P-value from test
  7. Compare p value to significance level
  8. Conclusion - make decision
20
Q

What does p<0.05 indicate?

A

Significant difference

21
Q

What does p>0.05 indicate?

A

no significant difference

22
Q

What is the drawback of the p-value?

A

Does not tell us what the difference is, or how large the difference is

23
Q

Gives us a range of values in which we are confident the population mean is likely to fall

A

confident interval

24
Q

Supplementing the p-values with ‘likely’ or confidence interval will indicate the possible size of the effect

A

95% confidence interval

25
Q

T-test

A

Identify a difference between or within groups

26
Q

Correlation

A

Identify a relationship between variables

27
Q

Regression

A

Prediction

28
Q

Science that studies patterns, causes and effects of health and disease conditions in defined populations

A

Epidemiology

29
Q

What are the 3 measures used to describe occurrence/risk of disease

A

incidence, prevalence, relative risk

30
Q

Incidence

A

risk of contracting disease

31
Q

Prevalance

A

how widespread disease is

32
Q

Relative risk

A

Risk of exposure

33
Q

Concerned with the treatment and analysis of data from biological, medical, and health-related studies

A

Biostatistics

34
Q

Concerned with the treatment and analysis of data from biological, medical, and health-related studies

A

Biostatistics

35
Q

Number of deaths in a specific population

A

Mortality rate

36
Q

Having a disease, symptom of disease, or to the population of disease within a population

A

Morbidity

37
Q

The state of being subject to death

A

Mortality

38
Q

What is the hierarchy of evidence

A

Different research designs vary in the quality of evidence they produce for a cause-and-effect relationships between variables

39
Q

What measure conveys information about the risk of contracting a disease?

A

Incidence

40
Q

What measure indicates how widespread disease is?

A

Prevalance