3. Basic Statistics I Flashcards

(35 cards)

1
Q

Why are central tendency measures useful in vet med?

A

Help you understand and critically evaluate the medical research literature

Understand patients values in relations to larger population

Understand biological variability

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2
Q

Mean

A

Sum of observations/ number of observations

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3
Q

Median

A

The level below or above half of the observations fall

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4
Q

Calculating median

A

Arrange in numerical order count how many values

If odd decide by 2 and round up to get position of median number

Even = decide by to go to the number in that position and average it with the number next highest

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5
Q

Mode

A

Most frequent occurance

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6
Q

calculating mode

A

Arrange in numerical order and number that appears most is the mode can have more than one

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7
Q

Example: do mean median mode of 1,1,2,3,4,5,24

A
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8
Q

Notation for population mean

A

“U” or mu

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9
Q

Notation for population standard deviation

A

sigma= o
Sd

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10
Q

Notation for population variance

A

Sigma squared
O^2

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11
Q

Normal and positive and negative skewed distributions

A
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12
Q

When to use median vs mean?

A

Median is better than mean for skewed date

Outliers can greatly skew the mean

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13
Q

What direction is skew?

A

In the direction of the tail

Can be negative or positive

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14
Q

What is probability

A

The numerical expression of the likelihood of occurrence

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15
Q

Simple conditional probability

A

At the likelihood of one event occurring

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16
Q

Conditional probability

A

Looks at two events occurring in relation to one another it looks at the probability of a second event occurring based on the probability of the first event occurring

17
Q

Complex probability

A

Used to calculate the probabilities of independent events

18
Q

Independent events

A

Those events whos occurance is not dependent on any other event

19
Q

Mutually exclusive events

A

Events that cannot occur at the same time

20
Q

Multiplication rule

A

Is used to calculate the probability of independent events both occurring

A and B

Pr = Pr (a) x Pr (b)

21
Q

Addition rule

A

Used to calculate the probability of independent events either occurring

A or B

Pr = Pr (a) + pr (b)

22
Q

Target population

A

The population to which it might be possible to extrapolate results from a study

23
Q

Study/source population

A

The population from which the study subjects are drawn

24
Q

Sampling frame

A

Are avalible and we are able to sample

25
Sample
Consists of individuals that end up in the study
26
Measurement error
Goal of designing a study is to accurately reflect your population of interest All measurement susceptible to error
27
What are the two types of measurement errors
Random error (imprecision) Systemic error (bias)
28
Sampling error
Is a bias in which a sample is collected in such a way that some member of the intended population have a lower or higher sample probability and others Bias
29
How can you reduce systemic bias
Through random sampling giving everyone equal chance to be choosen
30
What are the 4 types of random sampling
Simple random sample Systematic sample Stratified sample Cluster sample
31
Random sampling
Attempts to replicate the characteristics of the target population using a sample Unbiased random sampling does not guarantee a replication of the target population characteristics
32
Standard error of measurement
Random error Variability of a sample statistic Sources = natural imprecise individual differences
33
Systematic error vs random error
34
Confidence intervals
Surround point estimate with marginal error
35
Confidence level
Is a measure of a degree of reliability of a confidence internal Higher confidence level more strongly we believe that the true value of the parameter being estimated lies within the interval