Atire manufacturer has a 60,000 mile warranty for tread life. the manufacturer considers the overall tire quality to be acceptable if less than 8% are worn out at 60,000 miles.

the manufacturer tests 250 tires that have been used for 60,000 miles. they find that 15 of them are worn out. with this data, we test the following hypotheses at the 5% significance level.

h0: the proportion of tires that are worn out after 60,000 miles is equal to 0.08.

ha: the proportion of tires that are worn out after 60,000 miles is less than 0.08.

the p-value is 0.15. which conclusion is correct?

accept h0.
fail to reject h0.
reject h0.

Fail to reject H0.

Step-by-step explanation:

The manufacturer perform a hypothesis test on the qulity of its tires.

The significance level used is 0.05.

The P-value obtained from the test is 0.15.

When the P-value is greater than the significance level, as this case, the effect is not statistically significant. This means that the value is more probable than the threshold of the significance level.

The result is that the null hypothesis may be true,  and it can not be rejected by this statistical evidence.

the balance is found at the link

step-by-step explanation:

part a

x     y

0     8

1     7.5

2     7

3     6.5

4     6

5     5.5  

for every hour i deducted .5 inches from the length of the candle

part b

it is a function because for every x value there is only one y value

part   c

for every x value there is only one y value

x       y

0       8

1       7.6

2       7.2

3       6.8

step-by-step explanation: