Statistics- How to Find P-Value on this questionA researcher wanted to determine if carpeted rooms contain more bacteria than uncarpeted rooms. The table shows the results for the number of bacteria per cubic foot for both types of rooms.Carpeted:15.9; 8.7; 14.1; 14.3; 6; 10.3; 13.9; ...
If p ≤ .01 →“highly significant.” How to Calculate a P Value on the TI 83 Example question:The average wait time to see an E.R. doctor is said to be 150 minutes. You think the wait time is actually less. You take arandom sampleof 30 people and find their average wait is 14...
Find the p-value for an appropriate test using technology. Step 1 : Identify your T-statistic After conducting a T-test the researcher obtained a test statistic of -1.88 Step 2: Using technology of your choosing, enter your T-statistic to out a p-valu...
If D is greater than the critical value, thenull hypothesisis rejected. Critical values for D are found in theK-S Test P-Value Table. Back to top Example Step 1:Find the EDF.In theEDFarticle, I generated an EDF using Excel that I’ll use for this example. ...
If you’re learning regression and like the approach I use in my blog, check out myIntuitive Guide to Regression Analysisbook! You can find it on Amazon and other retailers. Note: I wrote a different version of this post that appeared elsewhere. I’ve completely rewritten and updated it fo...
a. Explain how to find p-value using Appendix Table for Normal Distribution. b. Explain how to use p-value in Hypothesis Testing. If, in a one-tail hypothesis test, the p-value = 0.7089, what is the statistical decision if the null hypothesis is tested at the ...
1. How is the statistical significance of an insight assessed? Hypothesis testing is used to find out the statistical significance of the insight. To elaborate, the null hypothesis and the alternate hypothesis are stated, and the p-value is calculated. After calculating the p-value, the null ...
The next step is to find the values in Q1 and Q3. To do this, we multiply the total number of values in the data set by 0.25 for Q1 and 0.75 for Q3. Q1 position: 0.25 x 12 = 3 Q3 position: 0.75 x 12 = 9 Q1 is the value in the 3rd position, which is 24 Q3 is the val...
For the P-value approach we need to find the P-value of the test statistic (TS).If the P-value is smaller than the significance level (α), we reject the null hypothesis (H0).The test statistic was found to be ≈0.855―For a population proportion test, the test statistic is a T-...
This test statistic is then used to find a p-value, which tells us the probability of observing a result as extreme as the one in the sample, assuming the null hypothesis is true. The smaller the standard error, the larger the test statistic will be. That’s why standard error directly...