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
We will use a significance level of α = 0.05.
? 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.
For this dataset, the average is x = 44, the standard deviation is s = 5.228, and the sample size is n = 4. Plugging those values into the formula, we get:
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.
Because we are conducting a one-sided test (specifically a right-sided test), we will reject the null hypothesis if the test statistic is larger than the critical value.
? 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.© BrainMass Inc. brainmass.com June 21, 2018, 10:06 pm ad1c9bdddf
The results of this test reflect that the average transportation cost per individual per week is more than $ 30. The average transportation cost includes public transportation, gasoline and toll fees. This means that individuals travel more than what they used to do earlier, when the average transportation cost was less than $ 30. The finding of this study can be due to following:
1. Individuals are really traveling more. This could be due to better market conditions, which has led to increase in salary levels. This means that ...
350 words based on Interpretation of results of hypothesis testing