Interpretations Flashcards

1
Q

Standard Deviation

A

the context typically varies by SD from the mean of mean

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2
Q

Percentile

A

percentile% of context are less than or equal to value

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3
Q

z-score

A

specific value with context is z-score standard deviations above/below the mean

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4
Q

Describe a distribution

A

Be sure to address shape, center, variability, and outliers in context.

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5
Q

Correlation [r]

A

The linear association between x-context and y-context is weak/moderate/strong (strength) and positive/negative (direction)

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6
Q

Residual

A

the actual y-context was residual above/below the predicted value when x-context = #

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7
Q

y-intercept

A

the predicted y-context when x=0 context is y-intercept

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8
Q

Slope

A

the predicted y-context increases/decreases by slope for each additional x-context

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9
Q

Standard Deviation of Residuals [s]

A

the actual y-context is typically about s away from the value predicted by the LSRL.

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10
Q

Coefficient of Determination [r^2]

A

about r^2% of the variation in y-context can be explained by the linear relationship with x-context

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11
Q

Describe the relationship

A

be sure to address strength, direction, form and unusual features in context

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12
Q

Probability P(A)

A

after many many context, the proportion of times that context A will occur is about P(A)

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13
Q

Conditional Probability P(A|B)

A

Given context B, there is a P(A|B) probability of context A

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14
Q

Expected Value (mean, [µ])

A

if the random process of context is repeated for a very large number of times, the average number of x-context we can expect is expected value (decimals are OK)

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15
Q

Binomial Mean [µx]

A

after many, many trials, the average number of successful context out of n is µx

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16
Q

Binomial Standard Deviation (σx)

A

the number of success context out of n typically varies by σx from the mean of µx

17
Q

Standard Deviation of Sample Proportions [σ phat]

A

the sample proportion of success context typically varies by σ phat from the true proportion of p

18
Q

Standard Deviation of Sample Means [σ xbar]

A

the sample mean amount of x-context typically varies by σ xbar from the true mean of µx

19
Q

Confidence Interval (A, B)

A

We are C% confident that the interval from A to B captures the true parameter context

20
Q

Confidence Level

A

if we take many, many samples of the same size and calculate a confidence interval for each, about confidence level % of them will capture the true parameter in context

21
Q

p-value

A

assuming Ho in context, there is a p-value probability of getting the observed result or less/greater/more extreme, purely by chance

22
Q

Conclusion for a Significance Test

A

because p-value p-value < / > , we reject/fail to reject Ho. we **do/do not ** have convincing evidence for Ha in context

23
Q

Type 1 Error

A

The Ho context is true, but we find convincing evidence for Ha context

24
Q

Type II Error

A

the Ha context is true, but we don’t find convincing evidence for Ha context

25
Power
if **Ha context is true at a specific value**, there is a **power** probability the significance test will correctly reject **Ho**
26
Standard Error of the Slope [SEb]
the slope of the sample LSRL for **x-context** and **y-context** typically varies from the slope of the population LSRL by about **SEb**