2. Using this equation, if the confidence level was changed to 99% instead of 95%, the confidence interval for n = 1,272 would be [0.4673, 0.5327]. Which ofthe following sample sizes would produce this same interval at 95% confidence? Note: If you cannot obtain a number that exactly matches a choicebelow, choose the answer that is closest.a. 1164b. 900С. 2048d. 676-Select- The graph below shows a 95% confidence interval for a population proportion that has been estimated as 0.5. Move the sliderbelow the graph to change the number of observations in the sample and observe how it affects the equation for the interval andthe corresponding interval width.P(1-p)pt Za/2V0.5 + 1.9610.5(1-0.5)127695% Cl: 0.5 ± 0.0274 = [0.4726, 0.5274]-0.0274+0.02740.450.47260.500.52740.55n = 12761,0002,0001. In the equation for a confidence interval, the sample size is located in the denominator underneath the radical sign. What happens to the value of theexpression under the radical sign as the sample size increases?a. The value of everything under the radical sign remains the same.b. The value of everything under the radical sign increases.c. The value of everything under the radical sign decreases.-Select- v

1. As the sample size increase the margin of error reduces As the margin of error reduces the…

Answered: The graph below shows a 95% confidence…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Tina catches a 14-pound bass. She does not know the population mean or standard deviation. So she takes a sample of five friends and they say the last bass they caught was 9, 12, 13, 10, and 10 pounds. Find the t and calculate a 95% (α = .05) confidence interval.
Assume that a randomly selected subject is given a bone density test. Bone density test scores are normally distributed with a mean of 0 and a standard deviation of 1. Draw a graph and find P9, the 9th percentile. This is the bone density score separating the bottom 9% from the top 91%. Which graph represents P9? Choose the correct graph below.
TF.15 The standard deviation of a random sample of the hourly wages of 18 post office employees is s = $3.38. Assuming normal distribution, find a 95% confidence interval for the standard deviation σ. Use X2 - distribution.
You are given that X follows a Weibull distribution where alpha = 2.3 beta = 17.4 What is the value of the the 60th percentile of this distribution?
You want to obtain a sample to estimate a population mean. Based on previous evidence, you believe the population standard deviation is approximately σ=28.1σ=28.1. You would like to be 98% confident that your esimate is within 3 of the true population mean. How large of a sample size is required?n =
Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"
In this problem, we use your critical values table to explore the significance ofr based on different sample sizes. Critical Values for Correlation Coefficient r a = 0.05 =0.01 „A=0.05 a = 0.01 a = 0.05 a = 0.01 3. 1.00 1.00 13 0.53 0.68 23 0.41 0.53 4. 0.95 0.99 14 0.53 0.66 24 0.40 0.52 0.88 0.96 15 0.51 0.64 25 0.40 0.51 6. 0.81 0.92 16 0.50 0.61 26 0.39 0.50 0.75 0.87 17 0.48 0.61 27 0.38 0.49 8. 0.71 0.83 18 0.47 0.59 28 0.37 0.48 9. 0.67 0.80 19 0.46 0.58 29 0.37 0.47 10 0.63 0.76 20 0.44 0.56 30 0.36 0.46 11 0.60 0.73 21 0.43 0.55 12 0.58 0.71 22 0.42 0.54
Below is the finishes question to the last question of the problem. Reject / fail to reject H0. At the 4% significance level, there is / is not enough evidence to support / reject the claim
Exhibit 10-32 The following information was obtained from matched samples. (Hint: to calculate differences use After - Before.) Individual 1 2 3 4 5 1.776 to 3.776 0.1796 to 5.02021 -2.776 to 2.776 Before 0 to 3.776 2 4 7 6 3 After 4 10 Refer to Exhibit 10-32. The 95% confidence interval for the mean of the population of differences is 9 7 5
For a population with mean 90 and standard deviation 10 A. find the percentile rank for a score of 95 B. Find the cutoff score (for the population with mean 90, not the z score) for top 2% C. Find the cutoff score (for the population with mean 90, not the z score) for the lowest 20 %

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