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STAT170 Workshop Notes prepared by Nan Carter for Numeracy ...

STAT170 Workshop Notes prepared by Nan Carter for Numeracy ...

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Week 6 H/Y. Questions on CONFIDENCE INTERVALS & HYPOTHESIS<br />

TESTING <strong>prepared</strong> <strong>for</strong> Stat170 workshop held at the <strong>Numeracy</strong><br />

Centre, Macquarie University.<br />

NOTE. FOR THIS TOPIC we still need to keep in mind that we<br />

are working with two distributions:<br />

• the distribution of the individuals in the population from<br />

which we take a random sample; this distribution has mean μ<br />

and standard deviation σ.<br />

• the distribution of means of samples that are all the same<br />

size (n); this is the sampling distribution of means of<br />

samples of size n; this distribution has mean μ and standard<br />

deviation σ/√n (also referred to as the ‘standard error’).<br />

• If we need to use the sample standard deviation, s, in a<br />

test of hypothesis about a mean μ, the variable is no longer<br />

a z variable but a t-variable with n-1 degrees of freedom.<br />

Similarly, in a 95% confidence interval the z-value 1.96 is<br />

replaced <strong>by</strong> the appropriate t-value with (n-1) degrees of<br />

freedom.<br />

EXERCISE 1. The daily consumption of electric power in a<br />

certain city is known to be normally distributed, and it is<br />

claimed to have a mean of 6.5 units with a standard deviation<br />

of σ = 1.5. In order to estimate the true mean daily power<br />

consumption, the consumption was sampled on 18 randomly<br />

selected days and the mean consumption was 6.973. (a) Test<br />

the hypothesis that that daily consumption has not, on<br />

average, changed. (b)Using the sample, find a 95% confidence<br />

interval <strong>for</strong> the true mean daily power consumption, μ. How<br />

confident are you that the claim that mean daily consumption<br />

is 6.5 units is true?<br />

EXERCISE 2. Washers are sold as having an inside diameter of 1.75cm. A sample of<br />

200 washers produced <strong>by</strong> the machine has mean inside diameter of 1.77 cm. It is known<br />

from past experience that the standard deviation of the diameter of washers produced<br />

<strong>by</strong> this machine is 0.18 cm. (a) Test the hypothesis that the machine is still producing<br />

washers with an inside diameter of 1.75 cm on average. (b) Using the sample, find a<br />

95% confidence interval <strong>for</strong> the mean inside diameter of all washers currently being<br />

produced <strong>by</strong> the machine. Are you at least 95% confident that the washers do on<br />

average meet the claimed diameter size.<br />

EXERCISE 3. Telecom wants to estimate the average length of telephone calls made<br />

between two cities. Manager A claims it is close to 2 minutes, and Manager B disputes<br />

this saying it is shorter, more likely 1.5 minutes. From a sample of 36 randomly selected<br />

calls, it finds that the average length is 1.90 minutes. Historically, the standard deviation<br />

of lengths of calls has been found to be 0.53 minutes.<br />

• Using the data from the random sample, find a 95% confidence<br />

interval <strong>for</strong> the true average length of calls. Which<br />

Manager’s claim was closer? (A or B)<br />

8<br />

<strong>Nan</strong> <strong>Carter</strong>: workshop notes <strong>prepared</strong> <strong>for</strong> <strong>Numeracy</strong> Centre Macquarie University.

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