Describe the results of the test and explain how the use of this hypothesis testing can be used to evaluate solutions to your research issue.
Steadily rising transportations expend larger portions of the consumer budget. This test is specifically targeting funds spent on public transportation, gasoline, or toll fees. In order ascertain whether the average consumer is maintaining an average weekly transportation cost of $30, sample data was collected. Each author of this paper submitted the amount of money spent on transportation in the last week. The data set is as follows:
$40, 45, 40, 51
? Formulation of the null and the alternative hypotheses
The null hypothesis states that consumers continue to spend $30 a week or less on transportation. Ho: µ < $30.00
The alternative hypothesis states that consumers are now spending more than $30 per week on transportation. H1: µ > $30.00
? Specification of the level of significance
? Calculation of the test statistic
This will be a one-tailed, one-sample t-test. The test statistic is calculated as:
Sx is the sample standard deviation divided by the square root of the number of cases.
t = (44 - 30)/(5.228/2) = 14/2.614 = 5.356
The test statistic is t = 5.356.
? Definition of the region of rejection
We need to find the critical value of t that we will use to make our decision. The critical value for a t-distribution with 3 degrees of freedom (d.f. = n - 1 = 4 - 1 = 3) and a significance level of 0.05 is t = 2.353.
? Selection of the appropriate hypothesis
The test statistic (t = 5.356) is larger than the critical value (2.353). Therefore, we can reject the null hypothesis at the 0.05 levels, and assume the alternative hypothesis: that consumers are now spending more than $30 a week on transportation.
Write 350 words describing the results of the test and explain how the use of this hypothesis testing can be used to evaluate solutions to your research issue.
350 words based on Interpretation of results of hypothesis testing