Question : if obtained is greater than critical (o>c) it fails to reject the null hypothesis because its not significant. If obtained is greater than Critical vale; C
Answer : In hypothesis testing you have:
- null hypothesis
- alternative hypothesis
- test statistic
- sampling distribution of test statistic
- alpha level
A t-test, for example, is a test of sample means. To conduct a t-test you compute the test statistic - this will depend on the mean(s), standard deviation(s), and sample size(s). You compare the statistic you calculated to the critical value (based on the alpha level) of the particular distribution that would obtain under the null hypothesis. If your statistic is 'more extreme' than the critical value then you reject the null hypothesis in favor of the alternative. If your statistic is not 'more extreme' then you do not reject the null.
I'm not sure if I'm answering your question or beating about the bush. The basic thing is that the critical value is based on the alpha level and the distribution that holds under the null hypothesis.
Question : the business college computing center wants to determine the proportion of business students who have personal computers at home. if the proportion differs from 25%, then the lab will modify a proposed enlargement of its facilities. Suppose a hypothesis test is conducted and the test statistic is 2.4. Find the p-value for a two tailed test hypothesis. Whats the value of z-score?
Answer : Scroll down to Gaussian distribution:
Click on (two-tailed)
enter your value and click calculate
Question : I'm stuck on a problem for my quantitative methods. I cannot figure out the formula for the null hypothesis. It's all Greek to me. Is there anybody who knows the actual mathematical formula for the Null Hypothesis? n1 175 147 138 156 184 148
n2 151 183 174 181 193 205 196
n3 127 142 124 150 180
n4 174 182 210 191
Can someone tell me the F-critical and F-calculated values and whether or not I accept or reject the null hypothesis? The answer choices I have for this question are
Answer : To give a precise answer, I need to see your question. The null hypothesis always assumes no difference, no association, independent etc., The test statistics tells you whether to reject this null hypothesis or not to reject this null hypothesis.