A genetic engineering company claims that it has developed a genetically modified tomato plant that yields on average more tomatoes than other varieties. A farmer wants to test the claim on a small scale before committing to a full-scale planting. Ten genetically modified tomato plants are grown from seeds along with ten other tomato plants. At the season’s end, the resulting yields in pound are recorded as below.
GeneticallyModified | Regular |
---|---|
20 | 21 |
23 | 21 |
27 | 22 |
25 | 18 |
25 | 20 |
25 | 20 |
27 | 18 |
23 | 25 |
24 | 23 |
22 | 20 |
Test, at the 1% level of significance, whether the data provide sufficient evidence to conclude that the mean yield of the genetically modified variety is greater than that for the standard variety.
The p-value is
Using Excel<data<megastat<hypothesis test<paired
Hypothesis Test: Paired Observations | |||
0.000 | hypothesized value | ||
24.100 | mean genetically | ||
20.800 | mean Regular | ||
3.300 | mean difference (genetically - Regular) | ||
3.498 | std. dev. | ||
1.106 | std. error | ||
10 | n | ||
9 | df | ||
2.984 | t | ||
.0077 | p-value (one-tailed, upper) | ||
-0.294 | confidence interval 99.% lower | ||
6.894 | confidence interval 99.% upper | ||
3.594 | margin of error |
P value=0.0077
Since p value>0.01(alpha). Fail to reject the null hypothesis. There is not sufficient evidence to conclude that the mean yield of the genetically modified variety is greater than that for the standard variety.
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