Romeo and Juliet
The steps in testing a research hypothesis:
There are five steps that need to be taken when conducting a research hypothesis. The first step of research hypothesis is to state the problem in the form of a question. The question should identify the population(s) of interest to the researcher, the parameter(s) of the variable under investigation, and the hypothesized value of the parameter(s). The second step is to state the questions in a null or alternative hypothesis. A null hypothesis is the parameter of the population. The alternative population states the opposite conclusion of the null hypothesis. The third step is to calculate the null hypothesis. If the null hypothesis is defined by the parameter µ, then the statistics computed on our data set would be the mean (xbar) and the standard deviation (s). A histogram of our sample data set gives us our best approximation of what we expect our population distribution to look like. The fourth step is to calculate the probability value (often called the p-value) which is the probability of the test statistic for both tails since this this two-tailed test. The probability value computed in this step is compared with the significance level selected in step 2. If the probability is less than or equal to the significance level, then the null hypothesis is rejected. If the probability is greater than the significance level then the null hypothesis is not rejected. When the null hypothesis is rejected, the outcome is said to be "statistically significant"; when the null hypothesis is not rejected then the outcome is said be "not statistically significant." If the outcome is statistically significant, then the null hypothesis is rejected in favor of the alternative hypothesis. The fifth and final step is to describe the results and state correct statistical conclusions in an understandable way. The conclusions consist of two statements-one describing the results of the null hypothesis and the other
There are five steps that need to be taken when conducting a research hypothesis. The first step of research hypothesis is to state the problem in the form of a question. The question should identify the population(s) of interest to the researcher, the parameter(s) of the variable under investigation, and the hypothesized value of the parameter(s). The second step is to state the questions in a null or alternative hypothesis. A null hypothesis is the parameter of the population. The alternative population states the opposite conclusion of the null hypothesis. The third step is to calculate the null hypothesis. If the null hypothesis is defined by the parameter µ, then the statistics computed on our data set would be the mean (xbar) and the standard deviation (s). A histogram of our sample data set gives us our best approximation of what we expect our population distribution to look like. The fourth step is to calculate the probability value (often called the p-value) which is the probability of the test statistic for both tails since this this two-tailed test. The probability value computed in this step is compared with the significance level selected in step 2. If the probability is less than or equal to the significance level, then the null hypothesis is rejected. If the probability is greater than the significance level then the null hypothesis is not rejected. When the null hypothesis is rejected, the outcome is said to be "statistically significant"; when the null hypothesis is not rejected then the outcome is said be "not statistically significant." If the outcome is statistically significant, then the null hypothesis is rejected in favor of the alternative hypothesis. The fifth and final step is to describe the results and state correct statistical conclusions in an understandable way. The conclusions consist of two statements-one describing the results of the null hypothesis and the other