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So if we raise confidence level from 95% to 99%, the rejection area becomes smaller. And if the test result is in the rejection area though, we can more confidently reject the null hypothesis. It can be more reliable than rejection from 95% confidence level, because 95% CL has wider rejection area, thus more possibility to 'not reject' wrong fact.
Step 1: Subtract the confidence level from 100% to find the α level: 100% – 90% = 10%. Step 2: Convert Step 1 to a decimal: 10% = 0.10. Step 3: Divide Step 2 by 2 (this is called “α/2”). 0.10 = 0.05. This is the area in each tail. Step 4: Subtract Step 3 from 1 (because we want the area in the middle, not the area in the tail): 1 – 0. ...
QUESTION 10 Determine the upper limit of a 95% confidence level estimate of the population proportion when the sample size is 200 customers, 35 of whom respond yes to a survey. QUESTION 11 m ontimate of the nonulation mean you decide to select 49 random observations to get your point estimate of ample size of 36 random
Problem 1a) A 95% confidence interval was constructed for a random sample taken from a normal population.The Cl is 48.02,73.94. What is the sample mean? Briefly show your work.b) For a normal population with known variance σ2, what is the confidence level for the Clx‾-2.41σn2≤μ≤x‾+2.41σn2 ? Briefly show your work.
68.27% of all values lie within 1 standard deviation 95.45% of all values lie within 2 standard deviations and 99.73% of all values lie within 3 standard deviations Share Cite
Question: 1 (ANOVA) True or false: If we assume a 95% confidence level, there is a significant difference in performance generally across all groups. True False 2 (t-test) True or false: There is a significant difference in performance between the two highest-performing groups.
Answer to Which estimate at a 95% confidence level most likely. Your solution’s ready to go! Our expert help has broken down your problem into an easy-to-learn solution you can count on.
(2 points) take a look at number 5. Using 95% confidence level, estimate the interval of predicted Free Cash Flow at the 16 th year and interpret the result. If you want to manually calculate the prediction interval, be sure to use the following formula: Prediction interval = point estimate ± predictive errors
Let ππ represent the percentage of all male students who would receive a grade of A on this test. Use a 90% confidence interval to estimate p to three decimal places.
Question: Recall that when using a 95% confidence level, to achieve a 2% margin of error, we must have a ...