A market research firm used a sample of individuals to rate the
purchase potential of a particular product before and after the
individuals saw a new, expensive television commercial about the
product. The purchase potential ratings were based on a 0 to 10
scale, with higher values indicating more potential to purchase the
product. You want to know if the commercial increased the mean
purchase potential rating. You will test the claim at a
significance level of αα = 0.002. To do so, you find a
sample of 47 people, you find the mean "after-before" rating to be
¯d=0.3d¯=0.3 with a standard deviation of the differences of sd=sd=
0.7.
- What is the test statistic for this sample?
test statistic = Round to 4 decimal places.
- What is the p-value for this sample? Round to 4 decimal
places.
p-value =
- The p-value is...
- less than (or equal to) αα
- greater than αα
- This test statistic leads to a decision to...
- reject the null
- accept the null
- fail to reject the null
- As such, the final conclusion is that...
- There is sufficient evidence to warrant rejection of the claim
that the mean 'after'-'before' rating is greater than 0.
- There is not sufficient evidence to warrant rejection of the
claim that the mean 'after'-'before' rating is greater than 0.
- The sample data support the claim that the mean
'after'-'before' rating is greater than 0.
- There is not sufficient sample evidence to support the claim
that the mean 'after'-'before' rating is greater than 0.