Why do we test the null hypothesis and only accept the alternative hypothesis if we are able to reject the null hypothesis?
The results we obtain from research are based on probability. We can never be fully certain that our study yields 100 percent accurate data. This is because we work with samples and not populations, and can never study variables in complete isolation. Therefore, we can only say with a certain level of confidence, such as 95 percent or 99 percent, that a null hypothesis is not true.
Why do we test the null hypothesis and only accept the alternative hypothesis if we are...
The power of a test is the probability that we _____ the null hypothesis when the alternative hypothesis is _____. ? A) reject, true B) accept, true C) accept, false D) reject, false (IT IS NOT D)
8. A very small p-value indicates that: a. we should accept the alternative hypothesis. b. we should reject the null hypothesis and the alternative hypothesis. c. we should reject the null hypothesis. d. we should not reject the null hypothesis.
1. a What is a hypothesis test? What is it used for? How are the null and alternative hypothesis determined? . What are the 3 ways to set up hypotheses? C. Why can't we "accept” a null hypothesis? d. How do we determine if we reject or fail to reject a nuil hypothesis? e. What are the key pieces needed when writing a conclusion? f. Describe the difference between statistically significant and practically significant.
Identify the null hypothesis. alternative hypothesis, test statistic, decision about the null hypothesis and final conclusion that addresses the original claim Various temperature measurements are recorded at different times for a particular city. The mean of 20 degrees is obtained for 60 temperatures on 60 different days. Assuming that the population standard deviation is 1.5 degrees, test the claim that the population mean is 22 degrees. Use a 0.05 significance level Hou = 22; H1 is u# 22 Test statistic:...
If we reject a null hypothesis, should we state that we have proved the alternative hypothesis to be true? Briefly explain why or why not.
1. What are null hypothesis and alternative hypothesis? 2. Inastatisticaltest,wehavethechoiceofatwo-tailedtest,aleft- tailed test, or a right-tailed test. Which hypothesis is the determining factor for choosing the direction of the test? (In other words, how would you decide it) 3. Forthesamesampledataandnullhypothesis,howdoesthe P-value for a two-tailed test compare to that for a one-tailed test? 4. Using P-value method, how would you reject or fail to reject the null hypothesis? (what is the decision criteria?) How does level of significance matter to the hypothesis...
True or false. If the p-value is 6%, then we reject the null hypothesis and accept the alternative hypothesis at a significance level of 10% but not at a significance level of 5%. True or false?
On the basis of sample information, we either "accept the null hypothesis" or "reject the null hypothesis." True O False
All things being equal, when we have a two-tailed Alternative Hypothesis test it is easier to reject the Null Hypothesis (when compared to a one-tailed test). True False
Why can we never accept the null hypothesis? [2 sentences]