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.

see below

step-by-step explanation:

7.   there are 10 data points in the set.   the middle point is between 5 and 6.   the middle point in the top half is 8   and the middle point in the bottom half is 3. to find the iqr , take point 8 and subtract point 3

mid term   point 8 = 100   point 3 = 88

iqr = 100-88 = 12

final   point 8 = 93   point 3 = 78

iqr = 93 - 78 = 15

the final has the greatest iqr

6.   b - there is a high data value that causes the data set to be asymmetrical for the males: the data for males are high and asymmetrical .   there is an outlier for the males that skews the data

5.   the   iqr is a better measure of spread for the movies and basketball games.   since the basketball game has an outlier, we do not want to use standard deviation for measurement.  

3.   the exam median is much higher than the class median.   the median line is farther to the right on the exams

2.   there is no way to tell what the means are from the box and whisker plots.