Are prices for oranges in Florida higher than prices for Texas oranges based on the data, test this hypothesis.
TEXAS | FLORIDA | |
Mean | 7.762 | 6.738 |
Variance | 15.50461714 | 6.737874286 |
Observations | 15 | 15 |
Hypothesized Mean Difference | 0 | |
df | 24 | |
t Stat | 0.840918429 | |
P(T<=t) one-tail | 0.204347052 | |
t Critical one-tail | 1.71088208 | |
P(T<=t) two-tail | 0.408694103 | |
t Critical two-tail | 2.063898562 |
Are prices for oranges in Florida higher than prices for Texas oranges based on the data, test this hypothesis.
it is clear that this is right tailed hypothesis testing because the researcher wants to test whether the prices for oranges in Florida higher than prices for Texas oranges.
Null hypothesis:- prices for oranges in Florida are equal to prices for Texas oranges.
Alternate hypothesis:- prices for oranges in Florida higher than prices for Texas oranges.
Using the given data output table,
t statistics = 0.8409
p value for one tailed hypothesis = 0.2044
So, for a significance level of 0.05 or 0.10, the p value is insignificant because p value is more than significance level.
Therefore, we fail to reject the null hypothesis.
We can conclude that there is insufficient evidence to say that the prices for oranges in Florida higher than prices for Texas oranges.
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