If 8 short range rockets of one kind have a mean target error of x₁ = 98 metres with a standard deviation of s₁ = 18 metres while 10 rockets of another kind have a mean target error of x₂ = 76, with standard deviation of s₂ = 15 metres. Assume that the target errors for the two types of rockets are normally distributed and that they have a common variance. (a) Given that the common variance is not known, state why the statistic T given (x₁ - x₂) - (μ₁ −μ₂) by T is pivotal quantity stating clearly its distribution
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- A team of researchers wanted to prove that natural rather than pharmaceutical products are the way to go. Thus, they set out to determine if their improved sugarcane extract is more effective than Remdesivir, a drug used to treat viral infections. Assume that the population variance of sugarcane extract is 14380.62 while the population variance of Remdesivir is 13447.04. The data set on the right shows the results of the patients' viral load in copies/mL. Test the claim at alpha = 0.05 using the traditional method.H0: σ2=13447.042. H1:σ2>13447.04 Right tailed (one-tailed)4. Give the null hypothesis in words.5. Give the alternative hypothesis in words.6. Determine the critical value or p-value ().7. Identify what test to be used.8. Explain why this test is most appropriate.9. Make the decision using specific evidence.10. Summarize the results for the study.A team of researchers wanted to prove that natural rather than pharmaceutical products are the way to go. Thus, they set out to determine if their improved sugarcane extract is more effective than Remdesivir, a drug used to treat viral infections. Assume that the population variance of sugarcane extract is 14380.62 while the population variance of Remdesivir is 13447.04. The data set on the right shows the results of the patients' viral load in copies/mL. Test the claim at alpha = 0.05 using the traditional method.4. Give the null hypothesis in words.5. Give the alternative hypothesis in words.6. Determine the critical value or p-value ().7. Identify what test to be used.8. Explain why this test is most appropriate.9. Make the decision using specific evidence.10. Summarize the results for the study.A certain type of thread is manufactured wen a mean tensile strength of 75.3 klograms and a standard deviation of 4.8 kilograms. How is the variance of the sample mean changed when the sample size (a)increased from 64 to 900 ? (b) decreased from 256 to 36 ?
- The mean score of a random sample of 35 Grade 11 students who took the first periodic test iscalculated to be 86. The population variance is known to be 0.10.One study claims that the variance in the resting heart rates of smokers is different than the variance in the resting heart rates of nonsmokers. A medical student decides to test this claim. The sample variance of resting heart rates, measured in beats per minute, for a random sample of 4 smokers is 126.8. The sample variance for a random sample of 4 nonsmokers is 597.6. Assume that both population distributions are approximately normal and test the study’s claim using a 0.02 level of significance. Does the evidence support the study’s claim? Let smokers be Population 1 and let nonsmokers be Population 2. Step 1 of 3: State the null and alternative hypotheses for the test. Fill in the blank below. H0: σ21=σ22: Ha: σ21⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯σ22 Compute the value of the test statistic. Round your answer to four decimal places. Draw a conclusion and interpret the decisionA team of researchers wanted to prove that natural rather than pharmaceutical products are the way to go. Thus, they set out to determine if their improved sugarcane extract is more effective than Remdesivir, a drug used to treat viral infections. Assume that the population variance of sugarcane extract is 14380.62 while the population variance of Remdesivir is 13447.04. The data set on the right shows the results of the patients' viral load in copies/mL. Test the claim at alpha = 0.05 using the traditional method.1. Give the null hypothesis in symbols. 2. Give the alternative hypothesis in symbols. 3. Identify the tail of the test. 4. Give the null hypothesis in words. 5. Give the alternative hypothesis in words. 6. Determine the critical value or p-value (). 7. Identify what test to be used. 8. Explain why this test is most appropriate. 9. Make the decision using specific evidence. 10. Summarize the results for the study.
- Consider the butterfat production (in pounds) for a cow during a 305-day milk production period following the birth of a calf. A sample of 12 cows on a farm in Wisconsin has a mean of 712.25 and a variance of 29957.84. A sample of 16 cows on a farm in Michigan has a mean of 705.44 and a variance of 20082.13. Assume the distribution of butterfat production is normally distributed for both farms. Find a 95% confidence interval for the difference in average butterfat production, Wiscon sin Michigan - O-126.143 μWiscon sin 30.154 Wiscon sin O-130.617 - - < μWiscon sin -120.958 < Wiscon sin - Michigan 163.788 - Michigan < 139.763 - Michigan < 122.841 Michigan < 134.578A factory produces two types of artificial lamp A and B. The mean durability of artificial lamp A is 850 hours and its standard deviation is 40 hours. While, mean durability of artificial lamp B is 820 hours and its standard deviation is 60 hours. Find the probbality of 35 artificial lamp A will have mean durabilirty at least 25 hours more than 45 artificial lamp B.A sample of 100 grade 10 students age was obtained to estimate the mean of all grade 10 students. Given x = 15.3 years and the population variance is 16