A random sample of 6 steam boiler pressure has a mean of 760 psi (pound per square inch) with its population standard deviation is 28 psi. Use this information and thelevel of significance a=0.05 to test whether the true average steam boiler pressure from which this sample came is 790 psi.i) State the null and alternative hypotheses.Ho: mH₁: mii) Calculate the test statistic and find the critical value.Answer:x = (a)J = (b)Zo = (c)(d)(a)(b)(2 d.p)(d)iii) State the decision and conclusion.Decision:Ho.Conclusion: There isevidence to believe that the true average steam boiler pressure from which this sample came is 790 psi.Zcritical value=

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Answered: A random sample of 6 steam boiler…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Given the supplied information, interpret the results. Be sure to (1) tell what was done, (2) present some facts, (3) interpret the results, and (4) make a suggestion for future research. (Assume the test is two-tailed and a =.05). A statistics professor has compared the systolic blood pressure of her class (N = 24) (M = 138, s = 16) to blood pressure in the general population (u = 120) to see if taking statistics is related to higher or lower blood pressure. She found: - tcv = 2,069 -t= 5.50 •d3 1.13 •r2357% - 95% Clpir [11.23, 24.77] 整

The time to complete an exam is approximately Normal with a mean = 53 minutes and a standard deviation 3 minutes. The bell curve below represents the distribution for testing times. The scale on the horizontal axis is equal to the standard deviation. 1. Fill in the indicated boxes. μ-30 μ-20 P-o = 53 σ = 3 μ u+o μ+2σ μ+30 2. Used the Empirical Rule to complete the following statements:
We want to obtain a sample to estimate a population mean. Based on previous evidence, researchers believe the population standard deviation is approximately σ=79.4σ=79.4. We would like to be 99% confident that the estimate is within 0.5 of the true population mean. How large of a sample size is required?n=
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A manufacturer is interested in the output voltage of a power supply used in a PC. Output voltage is assumed to be normally distributed, with standard deviation 0.25 V, and the manufacturer wished to test Hg: H = 8 against H1: u # 8, using n = 10 units. Statistical Tables and Charts (a) The critical region is 8.14. Find the value of a. Round the answer to 3 decimal places. a = 1 eTextbook and Media (b) Find the power of the test for detecting a true mean output voltage of 8.08 V. Round the answer to 3 decimal places. The power of the test is 1 eTextbook and Media
A test was made of Ho: u, = H, versus H,: µ, < µ,. The sample means were x, = 7 and 14, the sample standard deviations were s 5 and s, = 6, and the sample sizes 14 and n, 19. were n
You want to obtain a sample to estimate a population mean. Based on previous evidence, you believe the population standard deviation is approximately σ=72.1σ=72.1. You would like to be 99% confident that your estimate is within 2 of the true population mean. How large of a sample size is required?
A population of N = 25 scores has ΣX = 40 and ΣX2= 120. For this population, what is the value of SS (sum of squared deviations)?
answer 1
In the entire population of a certain type of tree, the mean height of the trees is μ = 168.8 ft and the standard deviation is σ = 43.6 ft. You collect a random sample of n=22 trees. The distribution of these sample means is shown below. Each tick mark on the horizontal axis is a distance of one more standard error. Complete the indicated boxes, correct to two decimal places. mean of distribution=168.8 standard error=9.30 Note: The left box is 2 standard errors below the mean. The middle box is the mean. The right box is 2 standard errors above the mean.
answer 3
Let X be a quantitative variable whose values are form a population under study and X⎯⎯⎯⎯ be the corresponding sample mean RV. If population and sample sizes are 3601 and 196, respectively, and σX=149, then SD(X⎯⎯⎯⎯) is Select one: ≈10.64 None ≈10.35 ≈10.94 ≈0.76

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