The manufacturer of an MP3 player wanted to know whether a 10% reduction in price is enough to increase the sales of its product. To investigate, the owner randomly selected eight outlets and sold the MP3 player at the reduced price. At seven randomly selected outlets, the MP3 player was sold at the regular price. Reported below is the number of units sold last month at the regular and reduced prices at the randomly selected outlets.
Regular price | 137 | 126 | 89 | 112 | 118 | 125 | 94 | |
Reduced price | 126 | 131 | 150 | 137 | 112 | 127 | 131 | 133 |
At the 0.100 significance level, can the manufacturer conclude that the price reduction resulted in an increase in sales? Hint: For the calculations, assume reduced price as the first sample.
Given | |||
X1 bar | 130.875(AVERAGE()) | X2 bar | 114.4286 |
S1 | 10.70964185(STDEV()) | S2 | 17.50102 |
n1 | 8 | n2 | 7 |
Hypothesis : | α= | 0.1 | ||
df | 13 | n1+n2-2 | ||
Ho: | μ1 = μ2 | |||
Ha: | μ1 > μ2 | |||
t Critical Value : | ||||
tc | 1.350171289 | T.INV(1-D1,9) | RIGHT | |
ts | >= | tc | RIGHT | To reject |
Test : | ||||
Sp^2 | 203.1222527 | ((n1-1)S1^2+(n2-1)S2^2)/(n1+n2-2) | ||
t | 2.229673308 | (X1 bar-X2 bar )/SQRT(Sp^2*(1/n1 + 1/n2)) | Equal vriance | |
P value : | ||||
P value | 0.025117287 | T.DIST.RT(ts,df) | RIGHT | |
Decision : | ||||
P value | < | α | Reject H0 |
There is enough evidence to claim that the price reduction resulted in an increase in sales, at the 0.100 significance leve
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