![]() ![]() In the formula, the researcher inputs x = 4.89363, then the degrees of freedom are 12. In the next step, researchers need to follow the instructions in the picture above. To calculate the researcher’s P-value, type the formula in excel =TDIST(…), which in detail can be seen in the image below: The degree of freedom in the regression equation is obtained by subtracting the number of observations with the total variables used in the regression equation.īased on the case study example, it is known that the number of observations is 15, and the number of variables is 3, so the degree of freedom is 12. The next step is calculating the P-value, and the researcher must look for the degrees of freedom. Based on the results of previous calculations, the t-statistics for the advertising cost variable is 4.89363. To calculate the p-value, researchers must perform t-statistical calculations manually or through the output analysis results. Statistical hypothesis test for the effect of advertising costs on product sales If the researcher performs calculations manually in Excel, the researcher must first calculate the p-value and T-table before concluding statistical hypothesis testing. On this occasion, I used Excel to find p-value and T-table. As I wrote in the previous paragraph, statistical hypothesis testing can use two criteria: comparing t statistics with t tables and p-values. The next step that needs to be done by researchers is to test the statistical hypotheses that have been compiled. H a: Marketing staff partially has a significant effect on product sales How to Find P-Value and T-Distribution Table H 0: Marketing staff partially does not have a significant effect on product sales H a: Advertising costs partially have a significant effect on product sales H 0: Advertising costs partially have no significant effect on product sales ![]() In detail, the formulation of the hypothesis is as follows: The research hypothesis is created into a null hypothesis and an alternative hypothesis. The researcher then develops statistical hypotheses to prove whether the research hypothesis is true or false. Therefore, the researchers create the research hypothesis that advertising costs and marketing staff have a significant effect on product sales. Researchers want to know whether each independent variable has a significant effect on product sales.īased on the theory and results of previous research shows that the costs of advertising and marketing staff positively affect product sales. Based on the research objectives, the next researcher compiled the linear regression equation as follows:ī 1, b 2 = Regression estimation coefficientsīased on the regression equation that the researcher has created, the researcher then collects data from as many as 15 observations which can be seen in detail in the table below: How to Create Statistical Hypothesis Testįollowing the research objectives of the case study, the researcher wanted to determine the influence of advertising costs and marketing staff on product sales. The purpose of this case study is to find out how the influence of advertising costs and marketing staff on product sales. Statistical Hypothesis Test on Linear RegressionĪs exercise material, I have prepared an example of a case study using the linear regression OLS method. Before discussing the tutorial further, it is important for researchers to understand “ How to Distinguish 0.01, 0.05, and 0.10 Significance Levels in Statistics“. Therefore, on this occasion, Kanda Data will write about how to find the p-value and T-distribution tables. Therefore, it showed the importance of understanding by researchers in testing the statistical hypothesis. Another criterion in statistical hypothesis testing using the p-value. Hypothesis testing criteria can use a comparison of t-statistics/F-statistics with T-table/F-table. Testing the statistical hypothesis using these two criteria will obtain the same conclusion. Researchers can choose one of the criteria to test the null hypothesis. Statistical hypothesis testing can be done using two criteria. Therefore, in statistical hypothesis testing, a researcher must first create the null and alternative hypotheses. In principle, statistical hypothesis testing is carried out to test the null hypothesis. Statistical hypothesis testing can be divided into two: the null hypothesis and the alternative hypothesis. Therefore, researchers must conduct statistical hypothesis testing properly and correctly. Each research objective can be answered through statistical analysis according to the researcher’s chosen analytical method. ![]() Testing the research hypothesis is an important step that needs to be understood by researchers. ![]()
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