A sample of 40 speedometers for 'Pragya is obtained in tamale and each is calibrated to check for accuracy at 55km. the resulting sample average and sample standard deviation 53.8and 13 respectively. does the sample information suggest that the true mean for the speedometer is not accurate at 55km
Q: Two independent samples of observations were collected. For the first sample of 60 elements, the…
A: Testing of Hypothesis: Testing of hypothesis is a rule which, when the sample values have been…
Q: The amounts of nicotine in a certain brand of cigarette are normally distributed with a mean of…
A:
Q: In 2009, the national average for state and local taxes for a family of four was $4172. A ran-dom…
A: Null hypothesis: µ=4172. Alternative hypothesis: µ> 4172. This is a two-tailed test. Here, the…
Q: The U.S. Energy Information Administration claimed that U.S. residential customers used an average…
A: Given,sample size(n)=153sample mean(x¯)=10,586standard deviation(σ)=2509α=0.05
Q: The breaking strengths of cables produced by a certain manufacturer have historically had a mean of…
A: a) The hypotheses for the test are given below. Null hypothesis: H0: µ =1900 pounds Alternative…
Q: The average salary for public school teachers for a specific year was reported to be $39485. A…
A: Given information is : The average salary for public school teachers for a specific year was…
Q: . A random sample of 30 warehouses was selected as part of a tudy on electricity usage, and the…
A: Given information: The sample size is n = 30. The sample mean usage in March quarter of 2019 is…
Q: A test on car braking reaction times for men between 18 and 30 years old has produced a mean and…
A: Given : sample mean = μ = 0.63 Sample size = n = 40 population mean = x = 0.578 Standard deviation =…
Q: The U.S. Energy Information Administration claimed that U.S. residential customers used an average…
A: Given information Sample mean x̅ = 11,215 kWh Population mean µ = 10,798 kWh Sample size = 164…
Q: The U.S. Energy Information Administration claimed that U.S. residential customers used an average…
A: GivenMean(x)=11121standard deviation(σ)=1856sample size(n)=184α=0.10
Q: The weights of a simple random sample of 35 pennies have a mean of 0.3910 g and a standard…
A: Given information Hypothesized mean µ = 0.230 g Sample size (n) = 35 Mean x̅ = 0.3910 g Standard…
Q: An automotive corporation claimed that their sedan brand of car can travel an average mean of 35 km…
A:
Q: The average local cell phone call length was reported to be 2.27 minutes. A random sample of 10…
A: Given,sample size(n)=10sample mean(x¯)=2.98standard deviation(s)=0.98degrees of…
Q: sample of assistant professors on the business faculty at state supported institutions in Ohio…
A: # Given : mean salary of assistance professor =$32000 and standard deviations=$3000 to find…
Q: The average amount of rainfall during the summer months is 12.52 inches. To test if it is true, a…
A: given that size of sample is n = 10 mean of sample = 8.42 standard deviation of sample = 2.3=s.d.…
Q: When 25 randomly selected customers enter any one of several waiting lines, their waiting times have…
A: Let n1 denote the sample size of customers enter any one of several waiting Lines. Let s1 be the…
Q: An auto manufacturer claims that its new 4-cylinder Hybrid auto with manual shift averages 50 mpg…
A: Computation of test statistic value: The population standard deviation is unknown. Thus, in order to…
Q: For a new study conducted by a fitness magazine, 210 females were randomly selected. For each, the…
A: confidence interval
Q: A comparison is made between two bus companies to determine if arrival times of their regular buses…
A: The hypotheses are given below: Null hypothesis: H0: µ1 = µ2 There is no significance difference…
Q: imple random samples of high-interest mortgages and low-interest mortgages were obtained. For the 36…
A: Given that, Simple random samples of high-interest mortgages and low-interest mortgages were…
Q: The U.S. Energy Information Administration claimed that U.S. residential customers used an average…
A: Given that Sample size n = 184 Sample mean = 11121 Population SD = 1856 Level of significance = 0.10
Q: The board of a major credit card company requires that the mean wait time for customers when they…
A: Given : Claim : The mean wait time for customers is longer than 5.00 minutes.
Q: The breaking strengths of cables produced by a certain manufacturer have historically had a mean of…
A:
Q: For males in a certain town, the systolic blood pressure is normally distributed with a mean of 110…
A: Given Mean=110 , Standard deviation=6 X~Normal(mean=110,standard deviation=6) Find…
Q: The manufacturer of a certain brand of auto batteries claims that the population mean a life of…
A:
Q: The breaking strengths of cables produced by a certain manufacturer have historically had a mean of…
A: The provided information is x¯=1756σ=50n=90α=0.05The null and alternative hypothesis is…
Q: The breaking strengths of cables produced by a certain manufacturer have historically had a mean of…
A: As per our guidelines we are supposed to answer only 3 sub-parts of any question so I am solving…
Q: The board of a major credit card company requires that the mean wait time for customers when they…
A: Hypothesized population = 4.00 Sample mean = 4.61 Sample standard deviation =1.93 Sample size = 34…
Q: A factory operates on 2 shifts a day, a day shift and an afternoon to evening shift. While the…
A: For day shift x̄1 = 250 s1 = 15 n1 = 50 For night shift x̄2 = 240…
Q: The breaking strengths of cables produced by a certain manufacturer have historically had a mean of…
A: We have given that Sample size n =150 Sample mean =1878 Population standard deviation =50 NOTE:-…
Q: A sample of 140 matched pairs of banks was formed in a study comparing banks in Turkey and Germany.…
A: A paired t-test is used when we are interested in the difference between two variables for the same…
Q: Suppose the mean height of women age 20 years or older in a certain country is 62.9 inches. One…
A:
Q: The board of a major credit card company requires that the mean wait time for customers when they…
A: Given information Sample mean x̅ = 3.94 Population mean µ = 3.50 Sample size = 41 Standard deviation…
Q: The board of a major credit card company requires that the mean wait time for customers when they…
A: Solution: Given information: n= 37 Sample size x= 3.87 Sample mean μ= 3.50 Population mean σ= 1.54…
Q: The sample mean weight of 200 adult vulturine parrots was measured to be 734.2 grams, with a…
A: Given x bar = 734.2s = 15.7n = 20 The 90% CI is given by
Q: To monitor the acid mine pollution from Philsaga Mining Corporation, two independent sampling…
A: Given Data : For Sample 1 x̄1 = 3.11 n1= 12 s1= 0.771 For Sample 2…
Q: A simple random sample of birth weights of 29 girls has a standard deviation of 829.5 hectograms.…
A: Given information: Sample size n=29 Sample standard deviation s=829.5 Population standard deviation…
Q: The board of a major credit card company requires that the mean wait time for customers when they…
A:
Q: strength is found to be 1829 pounds. Can we support, at the 0.10 level of significance, the claim…
A: We want find null, alternate hypothesis, test statistics and critical value Note: According to…
Q: A random sample of eight observations from the first population resulted in a stan- dard deviation…
A: Solution
Q: The breaking strengths of cables produced by a certain manufacturer have historically had a mean of…
A: Given : Claim : The population mean breaking strength of the newly- manufactured cable is greater…
Q: A bank manager has developed a new system to reduce the time customers spend waiting for teller…
A: In this question, we have data based on which we have to conduct the hypothesis testing.
Q: comparison is made between two bus lines to determine if arrival times of their regular buses from…
A: The following information has been given: n1=51 n2=60x¯1=53…
Q: Step 2 of 3 : Compute the value of the test statistic.
A:
Q: For a certain knee surgery, a mean recovery time of 9 weeks is typical. With a new style of physical…
A: For the given data Perform Z test for one mean
Q: A factory operates on 2 shifts a day, a day shift and an afternoon to evening shift. While the…
A:
Q: Two independent samples of observations were collected. For the first sample of 60 elements, the…
A: “Since you have asked multiple question, we will solve the first question for you. If you want any…
Q: For a random sample of 25 entrepreneurs, the mean number of job changes was 1.91 and the standard…
A: Computing the values of the test statistics: The null and alternative hypotheses are: Here, µ1 is…
Q: 5 will be drawn from a population of test takers with a mean of 150 and standard deviation 9. Find…
A: Given that Sample size (n) = 75 Population mean (μ) = 150 Standard deviation (σ) = 9 We know that…
Q: A major car manufacturer wants to test a new catalytic converter to determine whether it meets new…
A:
A sample of 40 speedometers for 'Pragya is obtained in tamale and each is calibrated to check for accuracy at 55km. the resulting sample average and sample standard deviation 53.8and 13 respectively. does the sample information suggest that the true
Step by step
Solved in 2 steps
- A sample of 40 speedometers for 'pragia' is obtained in tamale and each is calibrated to check for accuracy at 55kmh. the resulting sample average and sample standard deviation 53.8and 13 respectively. does the sample information suggest that the true mean for the speedometer is not accurate at 55kmh. use an alpha level of 0.01The average local cell phone call length was reported to be 2.27 minutes. A random sample of 10 phone calls showed an average of 2.98 minutes in length with a standard deviation of 0.98 minute. At alfa=0.01 can it be concluded that the average differs from the population average?Two independent samples of observations were collected. For the first sample of 60 elements, the mean was 86 and the standard deviation 6. The second sample of 75 elements had a mean of 82 and a standard deviation of 9. Compute the estimated standard error of the difference between the two means. Using £ = 0.01, test whether the two sample can reasonably be considered to have come from populations with the same mean.
- A sample of 40 speedometer for “Pragia” is obtained in Tamale and each is calibrated to check for accuracy at 55kmh. The resulting sample average and sample standard deviation are 53.8 and 1.3 respectively. Does the sample information suggest that the true mean for the speedometers is not accurate at 55kmh? Use an alpha level of 0.01.The breaking strengths of cables produced by a certain manufacturer have historically had a mean of 1750pounds and a standard deviation of 50 pounds. The company believes that, due to an improvement in the manufacturing process, the mean breaking strength, μ, of the cables is now greater than 1750 pounds. To see if this is the case, 90 newly manufactured cables are randomly chosen and tested, and their mean breaking strength is found to be 1756 pounds. Can we support, at the 0.05 level of significance, the claim that the population mean breaking strength of the newly-manufactured cables is greater than 1750 pounds? Assume that the population standard deviation has not changed.Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places, and round your responses as specified below. A. Find the value of the test statistic and round to 3 or more decimal places. (I have posted a picture of an example problem and the…The breaking strengths of cables produced by a certain manufacturer have historically had a mean of 1875 pounds and a standard deviation of 50 pounds. The company believes that, due to an improvement in the manufacturing process, the mean breaking strength, μ , of the cables is now greater than 1875 pounds. To see if this is the case, 150 newly manufactured cables are randomly chosen and tested, and their mean breaking strength is found to be 1878 pounds. Can we support, at the 0.05 level of significance, the claim that the population mean breaking strength of the newly-manufactured cables is greater than 1875 pounds? Assume that the population standard deviation has not changed. Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places, and round your responses as specified below. (If necessary, consult a list of formulas.) (a) State the null hypothesis H0 and the alternative hypothesis…
- According to a workers Union, the average monthly earning o support staff in the first half of 2018 was MVR 4325.89. MBA student Shujau wants to test to determine whether this figure is still accurate today. So he randomly selects 201 support staff from across the Maldives and obtains a representative earnings statement for a month from each. The resulting sample average is MVR 4889.86 with a standard deviation of MVR 2969.96. Assuming the monthly earnings of support staff are normally distributed in the population, Shujau wants to use a 5% level of significance to determine whether the mean monthly earnings of support staff have increased. Clearly state your null and alternate hypothesis. State the decision rule. Show the calculation of the test statistic. Give your answer to 2 decimal places where appropriate. State the statistical conclusion. Give an example of how a shop owner could use this result in making a business decision.The breaking strengths of cables produced by a certain manufacturer have historically had a mean of 1800 pounds and a standard deviation of 95 pounds. The company believes that, due to an improvement in the manufacturing process, the mean breaking strength, μ, of the cables is now greater than 1800 pounds. To see if this is the case, 70 newly manufactured cables are randomly chosen and tested, and their mean breaking strength is found to be 1829 pounds. Can we support, at the 0.10 level of significance, the claim that the population mean breaking strength of the newly-manufactured cables is greater than 1800 pounds? Assume that the population standard deviation has not changed. Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places, and round your responses as specified below. a. State the null hypothesis H0 and the alternative hypothesis H1. b. Find the value of the test statistic. Round to three or more decimal…The breaking strengths of cables produced by a certain manufacturer have historically had a mean of 1925 pounds and a standard deviation of 60 pounds. The company believes that, due to an improvement in the manufacturing process, the mean breaking strength, μ , of the cables is now greater than 1925 pounds. To see if this is the case, 150 newly manufactured cables are randomly chosen and tested, and their mean breaking strength is found to be 1936 pounds. Can we support, at the 0.05 level of significance, the claim that the population mean breaking strength of the newly-manufactured cables is greater than 1925 pounds? Assume that the population standard deviation has not changed. Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places, and round your responses as specified below. (If necessary, consult a list of formulas.) (a) State the null hypothesis H0 and the…
- A company that runs a chain of quick oil change centers, tries to attract customers by claiming that it completes oil changes faster than its competition. So it periodically estimates the time taken to do oil changes at its centers. From historical records, the company knows that the population standard deviation of oil change duration is 15 minutes. Recently, 40 customers were asked how much time they spent getting an oil change at one of their centers. Based on the sample data, the chain concluded that the average oil change time for the population of all its customers was between 15 and 25 minutes. What was the confidence level at which the inference was made? Think about the tradeoff among (n, confidence level, margin of error) and the formulae connecting the three. This time, you are given the margin of error and the sample size, and are asked to find the level of confidence. You will use the same formulas, just with a different unknown}.A company that runs a chain of quick oil change centers, tries to attract customers by claiming that it completes oil changes faster than its competition. So it periodically estimates the time taken to do oil changes at its centers. From historical records, the company knows that the population standard deviation of oil change duration is 15 minutes. Recently, 40 customers were asked how much time they spent getting an oil change at one of their centers. Based on the sample data, the chain concluded that the average oil change time for the population of all its customers was between 15 and 25 minutes. What was the confidence level at which the inference was made?In a mid-size company, the distribution of the number of phone calls answered each day by each of the 12 receptionists is bell-shaped and has a mean of 37 and a standard deviation of 8. Using the empirical rule (as presented in the book), what is the approximate percentage of daily phone calls numbering between 29 and 45?ans = %