Stats PPT 2 Flashcards

1
Q

What is the difference between incidence and prevalence?

A
Incidence = new cases
Prevalence = existing cases
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2
Q

What is morbidity?

A

The incidence or prevalence of a disease or of all diseases in a population.

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3
Q

What is mortality?

A

Death rate

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4
Q

What is the difference between morbidity and mortality?

A
Morbidity = what makes trouble/ causes bad effects.
Mortality = what kills
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5
Q

What are two basic kinds of statistical variable?

A
Qualitative= ex: male/ female
Quantitative= ex: number/ measurement
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6
Q

How is the mean calculated?

A

It is the mathematical middle value. Total #values divided by the number of measurements.
Ex: Test scores/number of students tested = mean

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7
Q

How is the mean different from the median?

A

With median, 1/2 of all values fall above and 1/2 of all values fall below.

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8
Q

When talking about values, what is the mode?

A

The value that turns up most often.

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9
Q

What does standard deviation tell you?

A

How tightly the data cluster around the mean.

The degree of variability of the data.
1 SD = 68% 2 SD = 95% 3 SD = 99%

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10
Q

What kind of data distribution needs to be present in order for these terms to be useful?

A

Normal distribution

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11
Q

What are the percentages of the data set represented by SD of 1, 2, or 3?

A

1 SD = 68% 2 SD = 95% 3 SD = 99%

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12
Q

How do you calculate percent change from one value to another?

A

New-old/old x 100

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13
Q

What does the P value tell you?

A

P = Probability of null hypothesis being true. Your confidence in significance.

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14
Q

What probability does the P value describe?

A

The correlation is random, not meaningful.

Randomness versus statistical significance.
P=0.05: Statistically significant. P=0.01: Greater Statistical Significance. P=0.001: Very high statistical significance.

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15
Q

What does the margin of error tell you?

A

How far up and down from your stated value you actually lie within your range of measurements.

The range of deviation from the reported value like an election poll. Also known as the Confidence Interval.

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16
Q

Can the P value be misleading?

A

Everything can be misleading. So… Yes.