chapter 8: confidence intervals Flashcards

1
Q

what is a confidence interval for a population mean?

A

interval constructed around the sample mean so that we are reasonably sure, or confident, that this interval contains the population mean

when we actually select the sample, we will observe one particular sample from the extremely large number of possible samples

Therefore, we will obtain one particular confidence interval from the extremely large number of possible confidence intervals

we call the interval [x- ± .22]

supposedly, we do not know for sure the true value of the population mean

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2
Q

95 percent confidence interval for μ

A

95 percent of all intervals that we might obtain contain μ, and 5 percent of these intervals do not contain σ

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3
Q

the confidence coefficient

A

The probability that a confidence interval for a population parameter will contain the population parameter

(before sampling)

we start by choosing the probability (for example, .95 or .99) that the confidence interval will contain the population mean

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4
Q

the margin of error

A

expresses the farthest that the sample mean x- might be from the population mean μ

for a given level of confidence

an be expressed in the form [x- ± margin of error].

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5
Q

what are the advantages of increasing a confidence level

A

the advantage of making us more confident that μ is contained in the confidence interval

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6
Q

what are the disadvantages of increasing a confidence level

A

has the disadvantage of increasing the margin of error and thus providing a less precise estimate of the true value of μ

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7
Q

what are 95 percent confidence intervals used for

A

to make conclusions

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8
Q

why would we use a 99 confidence interval

A

to make conclusions of stronger evidence

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9
Q

how do w denote a confidence interval that will not contain the population mean?

A

α

This implies that 1 – α is the probability that the confidence interval will contain the population mean

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10
Q

what happens to the confidence interval when we increase the level of confidence?

A

the confidence interval becomes longer (wider)

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11
Q

what do we do if we don’t know the population standard deviation?

A

we us the sample standard deviation

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12
Q

what is a t distribution

A

If the sampled population is normally distributed, then for any sample size n this sampling distribution is what is called a t distribution

curve of the t distribution has a shape similar to that of the standard normal curve

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13
Q

what is the mean of any t distribution?

why?

A

0 bruh

A t curve is symmetrical about zero

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14
Q

which is more spread out, the t distribution or the standard normal distribution?

A

the t distribution

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15
Q

what does the spread (standard deviation) of the t distribution depend on?

A

depends on a parameter that is called the number of degrees of freedom (denoted df)

varies depending on the problem

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16
Q

what happens to the spread of the distribution when sample size n increases

A

it decreases

17
Q

what happens to the t distribution when the number of degrees of freedom approaches infinity?

A

the t distribution becomes more like a normal curve

18
Q

what is t point that is denoted tα?

A

the point on the horizontal axis under the curve of the t distribution that gives a right-hand tail area equal to α

19
Q

how do we find the degrees of freedom for a t distribution?

A

n - 1

20
Q

what might make the t based confidence not valid

A

if n is small and the distribution is non mount shaped

21
Q

what happens if n is small and distribution is not mound shaped

A

might make the t based confidence not valid

we can use a nonparametric method

22
Q

nonparametric method

A

a method that makes no assumption about the shape of the sampled population and is valid for any sample size

23
Q

a tolerance interval

A

an interval that contains a specified percentage of the individual measurements in a population

24
Q

what is the form of a tolerance interval if the distribution is normally distributed

A

[μ ± zα/2*σ]