The thermal conductivity (R-Value) of 23 samples of newly developed inulating material follows: 4.626 4.755 4.596 4.398 4.497 4.833 4.866 4.398 4.638 4.482 4.644 4.878 4.32 4.824 4.56 4.434 4.626 4.533 4.377 4.599 4.596 4.569 4.191 Which of the following equations should be used in to find a 95% one-sided lower CI on the mean thermal conductivity.

The thermal conductivity (R-Value) of 23 samples of newly developed inulating material follows: 4.626 4.755 4.596 4.398 4.497 4.833 4.866 4.398 4.638 4.482 4.644 4.878 4.32 4.824 4.56 4.434 4.626 4.533 4.377 4.599 4.596 4.569 4.191 Which of the following equations should be used in to find a 95% one-sided lower CI on the mean thermal conductivity.

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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Tests the claim that u1 < µ2. Assume the samples are random and independent. 01 = 0.78 ; ơ2 = 0.78 T = 34.7; 2 = 35.16 %3D = 31 ; n2 = 37 n1 = a. Calculate the Standard Error oz- = (3 decimal places) (2 decimal b. Calculate the Z-test statistic using the standard error from part a. : = places) C. At a = 0.01 , Use the distribution table to find the critical values for the rejection region (3 decimal places) = d. What is your conclusion? O Reject the alternative hypothesis and support the claim O Accept the alternative hypothesis and reject the claim O Fail to reject the null hypothesis and do not support the claim O Accept the null hypothesis and support the claim O Reject the null hypothesis and support the claim
The following data are the numbers of cycles to failure of aluminum test coupons subjected to repeated alternating stress at 21,000 psi, 18 cycles per second. 1115 865 1015 885 1594 1000 1416 1501 1310 2130 845 1223 2023 1820 1560 1238 1540 1421 1674 375 1315 1940 1055 990 1502 1109 1016 2265 1269 1120 1764 1468 1258 1481 1102 1910 1260 910 1330 1512 1315 1567 1605 1018 1888 1730 1608 1750 1085 1883 706 1452 1782 1102 1535 1642 798 1203 2215 1890 1522 1578 1781 1020 1270 785 2100 1792 758 1750 a) Construct a frequency histogram. b) Construct an ogive.
The accompanying summary data on Ceo, particle sizes (nm) under certain experimental conditions was read from a graph in an article. 3.0-<3.5 3.5-<4.0 4.0-<4.5 4.5-<5.0 5.0-<5.5 14 28 35 22 5.5-<6.0 6.0-<6.5 6.5-<7.0 7.0-<7.5 7.5-<8.0 13 6 3 5 1 (a) What proportion of the observations are less than 5? (Round your answer to three decimal places.) (b) What proportion of the observations are at least 6? (Round your answer to three decimal places.) (c) Construct a histogram with relative frequency on the vertical axis. Percent Percent Percent Percent 25 25 25 25 20 20 20 20 15 15 15 15 10 10 10 10 5 Particle Size 5 5 Particle Size Particle Size Particle Size 3 4 5 6 7 8 (nm) 3 4 5 6 7 8 3 4 5 6 7 8 3 4 5 6 7 8 (nm) (nm) (nm) Comment on interesting features. In particular, does the distribution of particle sizes appear to be reasonably symmetric or somewhat skewed? [Note: The investigators fit a lognormal distribution to the data.] O symmetric O positively skewed O negatively skewed
pls answer d,e,f on paper and draw the criitical region (D) pls use paper but dont use excel
Exercise 1. Suppose that X ~ N(7, 2.25). Data x is an observed IID sample of size n = 500 from the distribution of X. That is, the IID Data Model is: x + X, where X - IID(500) X IID(500) N(7,2.25). (a) Give a rough sketch of your guess at the density histogram of data x, including labeled tick marks on the horizontal axis. Explain why you expect the density histogram of the data x to look this way. (b) The sample mean x and the sample variance s2 of these 500 data values were computed. What would you guess their values are and why? (c) How many (give a count, not a percentage) of the 500 data values in x would you guess are less than 6? Explain why you believe your guess should be reasonable.
pls answer d,e,f and pls draw the critical region (d) write on paper pls and dont use excel
Total plasma volume is important in determining the required plasma component in blood replacement therapy for a person undergoing surgery. Plasma volume is influenced by the overall health and physical activity of an individual. Suppose that a random sample of 43 male firefighters are tested and that they have a plasma volume sample mean of x = 37.5 ml/kg (milliliters plasma per kilogram body weight). Assume that σ = 7.50 ml/kg for the distribution of blood plasma. (a) Find a 99% confidence interval for the population mean blood plasma volume in male firefighters. What is the margin of error? (Round your answers to two decimal places.) lower limit 1 upper limit 2 margin of error 3 (b) What conditions are necessary for your calculations? (Select all that apply.) n is large the distribution of weights is normal σ is known the distribution of weights is uniform σ is unknown (c) Interpret your results in the context of this problem. 1% of the intervals created using…
Pork is the most preferred meat by a lot of meat consumers. Studies have shown that diets high in pork protein have favorable effects on a person's body composition. However, it is unclear whether these effects are specific to pork or whether consumption of other high protein meat diets have the same benefit. To investigate this, the nutritionist of a private diet center chose a random sample of overweight clients to participate in a 3-month program where each person is required to follow a restricted high-protein diet program with only one type of meat (chicken, fish, or pork). Before and after the program, the triglyceride level and weight of each client were recorded. Suppose the nutritionist asks your statistical advice for this study. 1. The nutritionist wants to study whether the mean change in triglyceride level of the clients differs among the three meat diets. She then asked your statistical advice considering that you have enough knowledge that using a parametric test…
1. Question Details DevoreStat9 7.SE.506.XP. [4060976] The following observations were made on fracture toughness of a base plate of 18% nickel maraging steel (in ksi ✓in., given in increasing order)]: 65.5 71.9 72.8 73.1 73.4 73.5 75.5 75.7 75.8 76.1 76.2 76.2 77.0 77.9 78.1 79.6 79.7 79.9 80.1 82.2 83.7 93.8 Calculate a 99% CI for the standard deviation of the fracture toughness distribution. (Round your answers to one decimal place.) 3.8 8.7 ksi vin Is this interval valid whatever the nature of the distribution? Explain. O The interval is always valid. O The distribution needs to be skewed to the right. O The distribution needs to be approximately uniform. O The distribution needs to be approximately normal.
A manufacturer is evaluating the variation in thickness for piezoelectric actuators from two component suppliers. The two populations are independent, and the thickness measurements are normally distributed. The thickness was measured for a sample of 30 products purchased from Supplier 1, and it was found that = 3.8048 . A sample of 30 products was also purchased from Supplier 2 and it was found that 5.2967. S1 S2 Is there evidence at the 0.1 level of significance that the thickness variance for Supplier 1 is smaller than for Supplier 2? (Round answers to 3 decimal places as needed) The correct alternative hypothesis is: O H1:0 + 0 OH1: H1 > µ2 : O H1:0} < o? O H1:0 2 0 O H1:0 O H1: µ1 2 l2 O H1: 41 < µ2 The test statistic is Fobs The probability of variance ratios at or beyond Fobs occurring by chance is = The decision is to Select an answer v that the variance in The correct summary would be: Select an answer thickness for Supplier 1 is smaller than Supplier 2.
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