An engineer has designed a valve that will regulate water pressure on an automobile engine. The valve was tested on 170 engines and the mean pressure was 4.2 lbs/square inch. Assume the standard deviation is known to be 0.6. If the valve was designed to produce a mean pressure of 4.1 lbs/square inch, is there sufficient evidence at the 0.1 level that the valve performs above the specifications? State the null and alternative hypotheses for the above scenario.
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Q: A coin-operated drink machine was designed to discharge a mean of 6 fluid ounces of coffee per cup.…
A: Claim: the population mean discharge differs from 6 fluid ounces.The null and alternative hypotheses…
Q: An engineer has designed a valve that will regulate water pressure on an automobile engine. The…
A: GivenMean(x)=7.5standard deviation(σ)=1.0sample size(n)=240α=0.10
Q: A coin-operated drink machine was designed to discharge a mean of 9 fluid ounces of coffee per cup.…
A: We have given thatPopulation mean (µ) = 9Sample size (n) = 21Sample mean (x̅) = 8.98Standard…
Q: A pharmaceutical company produces pills of dose level of 40 mg. To maintain the quality control, the…
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Q: A coin-operated drink machine was designed to discharge a mean of 8 fluid ounces of coffee per cup.…
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Q: A coin-operated drink machine was designed to discharge a mean of 6 fluid ounces of coffee per cup.…
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A: Solution: From the given information, confidence level is 0.94, σ=25 and E=12.
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A: Given information, Claim : A company that makes cols drinks states that the mean caffeine content…
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Q: A coin-operated drink machine was designed to discharge a mean of 6 fluid ounces of coffee per cup.…
A: Given,sample size(n)=19sample mean(x¯)=5.89standard deviation(s)=0.2α=0.10
Q: S A coin-operated drink machine was designed to discharge a mean of 9 fluid ounces of coffee per…
A: From the provided information, Sample size (n) = 20 Sample mean (x̄) = 9.12 Sample standard…
Q: A coin-operated drink machine was designed to discharge a mean of 9 fluid ounces of coffee per cup.…
A: Givensample size(n)=13Mean(x)=9.18standard deviation(s)=0.26significance level(α)=0.10
Q: A coin-operated drink machine was designed to discharge a mean of 6 fluid ounces of coffee per…
A: For the given data Perform t test for one population mean
Q: A coin-operated drink machine was designed to discharge a mean of 9 fluid ounces of coffee per cup.…
A: GivenMean(x)=9.17standard deviation(s)=0.26sample size(n)=13α=0.10
Q: A coin-operated drink machine was designed to discharge a mean of 8 fluid ounces of coffee per cup.…
A: Hypothesis test are used to compare the sample and population, when the population is larger. If the…
Q: A coin-operated drink machine was designed to discharge a mean of 6 fluid ounces of coffee per cup.…
A: GIVEN DATA, n=13x¯=5.8S=0.25claim :μ≠6α=0.05
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Q: A company that makes cola drinks states that the mean caffeine content per 12-ounce bottle of cola…
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Q: A coin-operated drink machine was designed to discharge a mean of 7 fluid ounces of coffee per…
A: Hello! As you have posted more than 3 sub parts, we are answering the first 3 sub-parts. In case…
Q: A coin-operated drink machine was designed to discharge a mean of 8 fluid ounces of coffee per cup.…
A: Given information Hypothesized mean µ = 8 ounces Sample size (n) = 18 Mean x̅ = 8.04 Standard…
Q: and 0.19fluid ounces, respectively.If we assume that the discharge amounts are approximately…
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Q: An engineer designed a valve that will regulate water pressure on an automobile engine. The engineer…
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Q: A coin-operated drink machine was designed to discharge a mean of 9 fluid ounces of coffee per cup.…
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Q: A coin-operated drink machine was designed to discharge a mean of 7 fluid ounces of coffee per cup.…
A: Given: μ = 6.86 σ = 0.2 n = 16 α = 0.05
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A: Given,n1 = 12 , n2 = 11x1¯ = 720.2, x2¯ = 695.1s1 = 8.8 , s2 = 9.1
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- A coin-operated drink machine was designed to discharge a mean of 8 fluid ounces of coffee per cup. In a test of the machine, the discharge amounts in 22 randomly chosen cups of coffee from the machine were recorded. The sample mean and sample standard deviation were 8.11 fluid ounces and 0.19 fluid ounces, respectively. If we assume that the discharge amounts are approximately normally distributed, is there enough evidence, to conclude that the population mean discharge, μ, differs from 8 fluid ounces? Use the 0.05 level of significance. Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H and the alternative hypothesis H₁. : (b) Determine the type of test statistic to use. (Choose one) (c) Find the value of the test statistic. (Round to three or more decimal places.) 0 (d) Find the p-value. (Round to three or more decimal places.) (e)…A newly developed vaccine has been developed and the vaccine has to be kept very cold so it is effective. If the temperature of the stored vaccine vials raises above 40 degree Fahrenheit the vials can no longer be used. The freezer at the pharmacy of a small town is old and the temperature fluctuates following a normal distribution with mean μ and standard deviation 5. The pharmacist can set μ to a preferred temperature. If the pharmacist wants to guarantee that the vials are damaged with probability no higher than 0.02, what is the highest µ that she can set? Enter your answer to 2 decimal points. (Standard Normal Table)A sample of 10 from population 1 has a mean of 32 and a standard deviation of 6. A sample of 13 from population 2 has a mean of 48 and a standard deviation of 8. The population standard deviations are unknown but assumed to be equal. Test the hypothesis, at the 1% level of significance, that the population means are the same. State your conclusion as a sentence and include the test statistic and the critical value.
- Do the mean weights of male college freshmen and male college seniors differ? There are arguments for and against this question. The mean weight, μx of college freshmen will be compared to the mean weight, My of college seniors. The true values of Mx and My are unknown. It is recognized that the true standard deviations are x = 13 for male college freshmen and dy = 24 for male college seniors. We take a random sample of m = 431 college freshmen and a random sample of n=289 college seniors. The mean weights were x = 178 for male college freshmen and y = 185 for male college seniors. Assuming independence between the samples and assuming the weights are normally distributed we would like to estimate My - My. a) What is the standard deviation of the distribution of x?[ b) What is the standard deviation of the distribution of x-y? c) Create a 95% confidence interval for Mx - Hy? d) What is the length of the confidence interval in part c) ? e) If we let n stay at 289 but vary m, what is the…A coin-operated drink machine was designed to discharge a mean of 6 fluid ounces of coffee per cup. In a test of the machine, the discharge amounts in 19 randomly chosen cups of coffee from the machine were recorded. The sample mean and sample standard deviation were 5.92 fluid ounces and 0.24 fluid ounces, respectively. If we assume that the discharge amounts are approximately normally distributed, is there enough evidence, to conclude that the population mean discharge, μ, differs from 6 fluid ounces? Use the 0.10 level of significance. Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis Ho and the alternative hypothesis H₁. H₂:0 H₁ :0 (b) Determine the type of test statistic to use. (Choose one) (c) Find the value of the test statistic. (Round to three or more decimal places.) (d) Find the p-value. (Round to three or more decimal…Biological oxygen demand (BOD) is a pollution index that is monitored in the treated effluent of paper mills. A certain paper mill has taken 31 samples over the past 3 months. The mean and standard deviation for the sample data are 3.42 and 0.728 ppm respectively. The mill would like to see if this sample indicates that the true average BOD in their treated effluent exceeds the targeted 3.00 ppm. Let ? = 0.05. A) The test statistic, (ttest), for this data set is: Note: Round your answer to the nearest hundredth.B) The p-value is: C) The statistical decision and corresponding English interpretation for this study are: Fail to reject Ha: conclude that the true BOD in treated effluent exceeds 3 ppmFail to reject Ho: we cannot conclude that the true BOD in treated effluent exceeds 3 ppm Reject Ha: we cannot conclude that the true BOD in treated effluent exceeds 3 ppmReject Ho: conclude that the true BOD in treated effluent exceeds 3 ppm
- To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 43 feet. Assume the population standard deviation is 4.6 feet. The mean braking distance for Make B is 46 feet. Assume the population standard deviation is 4.5 feet. At α=0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. The critical value(s) is/are Find the standardized test statistic z for μ1−μ2.A population has parameters u = 189.5 and o = 61.9. You intend to draw a random sample of size n = 113. What is the mean of the distribution of sample means? What is the standard deviation of the distribution of sample means? (Report answer accurate to 2 decimal places.)The average zinc concentration recovered from a sample of measurements taken in 40 different locations in a river is found to be 2.5 grams per milliliter. How large a sample is required if we want to be 95% confident that our estimate of ? is off by less than 0.05. Assume that the population standard deviation is 0.25 gram per milliliter.
- A population has parameters u = 239.9 and o = 18.4. You intend to draw a random sample of size n = 76. What is the mean of the distribution of sample means? What is the standard deviation of the distribution of sample means? (Report answer accurate to 2 decimal places.)A company that makes cola drinks states that the mean caffeine content per 12-ounce bottle of cola 40 milligrams. You want to test this claim. During your tests, you find that a random sample of thirty 12-ounce bottles of cola has a mean caffeine content of 39.2 milligrams. Assume the population is normally distributed with a standard deviation of 7.5 milligrams. At α=0.01, can you reject the company’s claim?A population of size 20 is sampled without replacement. The standard deviation of the population is 0.35. We require the standard error of the mean to be no more than 0.15. What is the minimum sample size?