How Strabucks Saved My Life

8. Draw conclusions – Assuming that your experiment produced results identical to those seen in Table 4, would you reject or accept the hypothesis that you produced in question 3? Explain how you determined this.

From the above output, we can see that the p-value is 0.000186, which is smaller than 0.05 (if we select a 0.05 significance level).

A. A three year study done by Boston College found that “tests profoundly shape what

15 In testing the hypotheses: H0 β1 ’ 0: vs. H1: β 1 ≠ 0 , the following statistics are available: n = 10, b0 = 1.8, b1 = 2.45, and Sb1= 1.20. The value of the test statistic is:

Because the p-value of .035 is less than the significance level of .05, I will reject the null hypothesis at 5% level.

Testing allows the p-value that represents the probability showing that results are unlikely to occur by chance. A p-value of 5% or lower is statistically significant. The p value helps in minimizing Type I or Type II errors in the dataset that can often occur when the p value is more than the significance level. The p value can help in stopping the positive and negative correlation between the dataset to reject the null hypothesis and to determine if there is statistical significance in the hypothesis. Understanding the p value is very important in helping researchers to determine the significance of the effect of their experiment and variables for other researchers

Select one (1) project from your working or educational environment that you would use the hypothesis test technique. Next, propose the hypothesis structure (e.g., the null hypothesis, data collection process, confidence interval, test statistics, reject or not reject the decision, etc.) for the business process of the selected project. Provide a rationale for your response.

Write a conclusion paragraph analyzing your results. In your conclusion, be sure to address the following questions:

Consider the ski resort satisfaction data we used in class (“satisfaction.sav” in Week 7 folder). This is data based on a survey of 500 users of a ski resort. In class we did part of the analysis. In this question you will be asked to redo some of the analysis and complete the rest. For part a), b) and c), write down your null and alternative hypotheses and then discuss the hypothesis testing results based on SPSS output. Please show your SPSS output for part a), b), and c).

Please enter the numbers here so that I know that you know how to read the SPSS output. Please paste your SPSS output right here where it belongs.

To test the null hypothesis, if the P-Value of the test is less than 0.05 I will reject the null hypothesis.

Conclusion : Fails to reject the null hypothesis. The sample does not provide enough evidence to support the claim that mean is significantly different from 12 .

I rejected the null hypothesis and found out the p-value is smaller than the significance level. The p-value is greater than the significance level 0.05.

With a P-value of 0.00, we have a strong level of significance. No additional information is needed to ensure that the data given is accurate.

d) Among all employees whose starting salary is below the median ($37,750), find a 95% confidence interval for the proportion who stay with D&Y for at least 3 years.