(14 Points) The percentage of titanium in an alloy used in aerospace castings is measured in...
The percentage of titanium in an alloy used in aerospace castings is measured in 51 randomly selected parts. The sample deviation in these parts is 0.37. Use this information to test for the hypothesis that the true deviation in the percentage of titanium different from 0.25 using a 5% level of significance. Show all work for this problem!
@ 100 %( -+ I CLARO PR 8:41 р. т. a a traductor Cambiar a español percentage of titanium in alloy is measured by a sample of 30 specimens, the standard deviation of the sample is 0.37 mu g a) prove the hypothesis that the standard deviation is greater than 0.25, I use a level of significance of 5% b) obtain the confidence interval for the standaro deviation with 95% confidence
Question 3 A nickel-titanium alloy is used to make aerospace components. Cracking is a potentially serious problem in the final parts because it can lead to failre. An experiment was conducted to determine the effect of three factors on cracks. Three factors at two levels each were selected and two replicates of a completely randomized experiment were run. The factors are Temperature (A), titanium content (B) and heat treatment (C). Treatment Replicate 54 50 42 45 46 43 42 46...
9.2. A textile fiber manufacturer is investigating a new drapery yam, which the company elaims has a mean thread elongation of 12 kilograms with a standard deviation of 0.5 kilograms. The company wishes to test the hypothesis Ho:驰012 against Hi: μ < 12, using random sample of four specimens (a) What is the type I error probability if the critical region is defined as <\ 1.5 kilograms? (b) Find β for the case where the true mean elongation is 11.25...
Hydrogen content is conjectured to be an important factor in porosity of aluminum alloy castings Antidelves the accompanying data on content andy a porosity for one particular measurem x y 0.18 0.46 0.20 0.71 0.21 0.40 0.21 0.21 0.22 0.43 0.53 0.4 0.23 0.24 0.23 0.40 0.24 0.20 0.24 0.2 0.25 0.28 0.18 0.68 0.30 0.71 0.37 0.77 Minitab gives the following output in a response to a Correlation command: Correlation of Hydecon and Porosity = 0.451 (a) Test at...
Question 4 (10 points) Suppose a new standardized test is given to 100 randomly selected third- on the test is 58, and the grade students in New Jersey. The sample average score sample standard deviation, sy, is 8. evel. (a) Test Ho : μY-60 vs H1 : μYメ60 at a 1% significance (b) Construct a 90% confidence interval for the mean score of all New Jersey third graders (c) Suppose the same test is given to 200 randomly selected third...
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Anyone help me with these 7 questions?
Questions: Q1. A random sample has been taken from a normal distribution and the following confidence intervals constructed using the same data: (38.02, 61.98) and (39.95, 60.05) (a) What is the value of the sample mean? (b) One of these intervals is a 95% CI and the other is a 90% CI. Which one is the 95% CI? Why? Q2. A civil engineer is analyzing the compressive strength of concrete. Compressive strength...
Data on 14 randomly selected athletes was obtained concerning
their cardiovascular fitness (measured by time to exhaustion
running on a treadmill) and performance in a 20-km ski race. Both
variables were measured in minutes and a regression analysis was
performed.
Ski = 89 -2*Treadmill
Coefficients
Estimate
Std. Error
(Intercept)
89
0.38
Treadmill
-2
0.699
Is there sufficient evidence to conclude that there is a linear
relationship between cardiovascular fitness and ski race
performance?
The test statistic is
The p-value is...
QUESTION 1 10 points Save Answer The blood pressure (average of systolic and diastolic measurements) of each of 20 randomly selected persons was measured. The results were: 30, 38, 51, 32, 50, 23, 37, 24, 21, 67, 45, 47, 34, 36, 32, 29, 49, 55, 65, 41 Can we assume normality for this sample? (Hint: You can use qqnorm and qqline or the CLT to help answer this question) Yes Ο Νο QUESTION 2 10 points Save Answer The blood...
Heights were measured for a random sample of 10 plants grown while being treated with a particular nutrient. The sample mean and sample standard deviation of those height measurements were 31 centimeters and 12 centimeters, respectively. Assume that the population of heights of treated plants is normally distributed with mean J. Based on the sample, can it be concluded that ju is different from 42 centimeters? Use the 0.05 level of significance. Perform a two-tailed test. Then fill in the...