


Formulate the research and null hypotheses needed to test this contention. Draw a normal curve, mark it with z values and ages, and shade the critical region.īecause it is a 2-tailed test, either a positive or a negative difference will be relevant.ĥ.The advertising department of Wired Xers argued that, in fact, its readers were younger than those of Quiche & Volvo. The critical value for a 95% two-tailed test is ± 1.96.Ĥ. Determine the critical value for a 95% level of confidence (p<0.05). Since the hypotheses are about the existence of a difference between the two means and not the direction of the difference, it would be a two-tailed test.ģ. Would you be doing a 1-tailed test or a 2-tailed test? Formulate a pair of research and null hypotheses to test this claim.Ģ. The advertising department of Quiche & Volvo claims that the age of its average subscriber is not the same as the average subscriber of Wired Xers. Their marketing department identified two magazines, Wired Xers and Quiche & Volvo as being especially popular among their target population. wants to focus its marketing for a new compact disc player on young affluent professionals. In case you still didn’t calculate your f statistic, you can easily do it by using our free f critical value calculator.Chapter 17 Answers Chapter 17. The p value is the probability your results could have happened by chance and is determined by the F statistic. So, to ensure that you have all your results doe correctly, you will also need to consider the p value. However, the F statistic is only one of the measures of significance in an F test. Generally speaking, when you get an F value that is larger than the F statistic, you can then reject the null hypothesis. On the other hand, the F critical value is a different value that is also known as F statistic. In case you don’t know, the F value is the value that you calculate from your data and you can use our f critical value calculator to determine it quickly.

To calculate them, you can use our free f value calculator. After all, when you conduct an F test, you will get an F value and an F critical value. One of the things that you need to know about the F statistic is that you can use it when you are deciding to support or reject the null hypothesis.
