Question

Batteries R Us is a manufacturer of batteries and are testing a new production technique for their most popular battery type. It is known that the mean lifetime of these batteries made using the previous production technique was 69 hours. The standard deviation in battery lifetime is 5.0 hours and it is assumed that this has not changed. They would like to know whether mean battery lifetime has increased with the new production technique. The following sample data of battery lifetimes has been collected from a random sample of 40 batteries made using the new manufacturing technique.
Battery lifetimes (hours)
82.5 78.4 80.2 78.7 67.8 76 74.8 73.9 68.8 70.3 70.7 70.7 77.9
80.5 73.8 80.979.2 74.173.2 76.1 69 73 70.9 63.3 67.8 78.5 68.7
67.5 68.2 68.2 73.3 75.4 73.2 72.2 72.6 72 71.3 69.9 69.6 70.4

Required:
a. Conduct a hypothesis test to test whether the new manufacturing process has increased mean battery lifetime.
b. Calculate the test statistic.

Answer 1

Answer:

(a) Accept the alternate hypothesis

(b) $t = 104.86$

Step-by-step explanation:

Given

$\mu= 69$

$\sigma = 5.0$

The sample data

Solving (a): Test whether the process increases the mean battery life

First, we state the null hypothesis

This states that the mean is 69

$H_o :\mu = 69$

Next, the alternate hypothesis is to test that the mean has changed.

i.e $H_a: \mu \ne 69$

Calculate the mean:

$\mu = \frac{\sum x}{n}$

$\mu = \frac{82.5 +78.4 +80.2 +78.7 +67.8 +76 +74.8 +73.9 +68.8 +70.3 +70.7 +70.7......+69.6 +70.4}{40}$

$\mu = \frac{2923.5}{40}$

$\mu = 73.0875$

Calculate the standard deviation

$\sigma = \sqrt{\frac{\sum(x - \mu)^2}{n}}$

$\sigma= \sqrt{\frac{(82.5-73.0875)^2 +(78.4 -73.0875)^2 +(80.2 -73.0875)^2 +(78.7 -73.0875)^2 +......+(70.4-73.0875)^2}{40}}$$\sigma= \sqrt{\frac{776.76375}{40}}$

$\sigma= \sqrt{19.41909375}$

$\sigma= 4.407$

From the calculations above: The calculated mean 73.0875 is not the same as 69.

Hence, we accept the null hypothesis that: $H_a: \mu \ne 69$

Solving (b): The test statistic

This is calculated as:

$t = \frac{\mu}{\sigma/\sqrt n}$

This gives:

$t = \frac{73.0875}{4.407/\sqrt {40}}$

$t = \frac{73.0875}{4.407/6.325}$

$t = \frac{73.0875}{0.697}$

$t = 104.86$