Statistical Inference Flashcards

1
Q

Define Inferential Statistics

A

Estimating big population results based on sample results

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2
Q

What is a Confidence Interval ( CI)?

A

Estimation of population mean (μ)

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3
Q

The formula of Confidence Interval is:

μ = X - Z(SEM ) Translate the equation

A

population mean = mean - Z score “level of confidence”

Standard Error

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4
Q

How do you know you have the correct answer for Confidence Interal (I)?

A

Answer is (2) values because it identifies the mean is between an interval

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5
Q

What is Standard Error of the Mean (SEM)?

A

Amount of Error in the sample mean, used a predictor for the population area

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6
Q

The formula for Standard Error of the Mean (SEM) is :

SEM = SD / SQRT “N” Translate the queation

A

Standard Error of the Mean = ___Standard Deviation___

Squareroot of “N”

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7
Q

In the formula of Standard Error of the Mean, What is the inverse relation when Standard Deviation is large?

A

When Standard Deviation is large, Standard Area is Large, and total number is small.

When Number is large and Standard Deviation is less, Standard Error of the mean is small

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8
Q

What is the Level of Confidence?

A

Probability that a statement is correct

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9
Q

Is higher level of confidence better? Yes and No, why?

A

Larger Confidence and the mean will more likely to fall in the confidence Interval

Larger Confidence also gives makes you less certain of an exact value

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10
Q

What is the most common confidence interval?

A

95% with a Z-Score of 1.96

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11
Q

How would you find the Z-score for any Confidence Interval?

A

Example of a 90% CI

  1. ) Divide 90% by 2
  2. ) Find that calculated %’s Z-score on the Z-Table
  3. )Use Z-Score and plug into the CI formula
  4. ) Solve for Z? *Listen to Recording
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12
Q

When given a Z-score, how do you find the % confidence interval?

A

Multiply corresponding % of Z-score by 2

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13
Q

***Example of finding Confidence Interval when given (N), SD and Xbar - The High and Low Interval

A

….

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