In: Statistics and Probability
According to research, holiday shoppers spent an average of
$366
over a holiday weekend in 2008. The accompanying data show the amount spent by a random sample of holiday shoppers during the same weekend in 2009. Complete parts a and b below.
$421 |
$278 |
$376 |
$232 |
$221 |
$219 |
|
$358 |
$433 |
$388 |
$391 |
$328 |
$65 |
|
$414 |
$434 |
$376 |
$270 |
critical values?
Test statistic?
What is the conclusion?
P-value?
Answer: According to research, holiday shoppers spent an average of $366 over a holiday weekend in 2008. The accompanying data show the amount spent by a random sample of holiday shoppers during the same weekend in 2009.
Solution:
The hypothesis test:
Null hypothesis, Ho: μ ≥ 366
Alternative hypothesis, Ha: μ < 366
Mean, x̄ = Σx/n
Mean, x̄ = 5204/16
Mean, x̄ = 325.25
S.D, s = √Σ(xi - x̄)^2/n-1
s = √Σ(xi - 325.25)^2/16-1
s = √158841/15
S.D, s= 102.9048
Test statistic t:
t = x̄ - μ / s / √n
t = 325.25 - 366 / 102.9048 / √16
Test statistic t = - 1.5839
t critical :
Assuming significance level α = 0.05
df = n-1 = 16 - 1 = 15
t critical = t(α,df) = t(0.05,15)
t critical = 1.7530
Conclusion:
Since, test statistic t (-1.584) > t critical (-1.753)
Do not reject the null hypothesis Ho.
There is insufficient evidence to conclude that holdiay shoppers spent, an average amount spent by a random sample of holiday shoppers during the same weekend in 2009.
P-value:
P-value from test statistic and df at α = 0.05 significance level:
P-value = 0.067023
Since, P-value (0.067) > α (0.05) significance level.
Do not reject the null hypothesis Ho.