L8 Flashcards

1
Q

What is the difference between an estimator and an estimate

A

The estimator is the statistic while the the estimate is a particular instance of the estimate

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2
Q

What is the margin of error community made up of

A

The standard error times the confidence level

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3
Q

What foes it mean that an interval is a 95% confidence interval for my

A

That we know that 95% of times the population mean will fall within the point estimator +- the margin of error

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4
Q

Is the population mean a variable

A

No

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5
Q

What is the relationship between the confidence level and confidence coefficient

A

The confidence level is the confidence coefficient in percent

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6
Q

What is the relationship between the confidence coefficient and the significance level

A

The confidence coefficient is 1-significance level

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7
Q

How do you get a confidence interval that corresponds to a particular confidence level

A

You use the z value that returns the corresponding significance level divided by 2 as a multiplier to the standard deviation when calculating the margin of error

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8
Q

How do you calculate z(x) if confidence is 95%

A

95% confidence level is .05 significance which means that z(x) is z(.025). Than all I need to do is to see which z score returns .025 and if it is negative make it positive and reverse

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9
Q

What is the width of the confidence interval

A

Two times the margin of error

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10
Q

How do you increase the width of a confidence interval

A

Increase the variance, decrease the sample size or increase the confidence level

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11
Q

What is the difference between precision and confidence

A

Higher precision involves improving the sample while confidence can be chosen based on the significance level

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12
Q

The probability that the population mean can be found in the interval is not 1 or 0

A

False

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13
Q

Do we often know the population mean in the real world

A

No

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14
Q

Do we use the z distribution when the population mean is unknown

A

No we use the T distribution

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15
Q

What happens to the t distributions tail when the sample size is small

A

The tail becomes wider as the degree of freedom is low

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16
Q

If population variance and proportion is not available how do you supplement them to calculate sample size required for a confidence level

A

You use range/4 for the variance and 0.5 for proportion

17
Q

Which parameter controls the risk of type one error in hypothesis testing

A

Significance level. If it is higher the risk of a false rejection becomes lower

18
Q

On a type one error the null hypothesis is not rejected

A

False