Is there any skewness in the data? Which direction? What is the cause of the skewness? Which wines are possible outliers and why?
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- Is there any skewness in the data? Which direction?
- What is the cause of the skewness?
- Which wines are possible outliers and why?
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- The Occupational Safety and Health Administration (OSHA) mandates certain regulations that have to be adopted by corporations. Prior to the implementation of the OSHA program, a company found that for a sample of 40 randomly selected months, the mean employee time lost due to job-related accidents was 45 hours. After implementation of the OSHA program, for a random sample of 45 months, the mean employee time lost due to job-related accidents was 39 hours. It can be assumed that the variability of time lost due to accidents is about the same before and after implementation of the OSHA program (with a standard deviation being 3.5 hours). Find a 90% confidence interval for the difference in the mean time lost due to accidents. Test the hypothesis that implementation of the OSHA program has reduced the mean employee lost time. Use a level of significance of 0.10.At the insistence of a government inspector, a new safety device is installed in an assembly-line operation. After the installation of this device, a random sample of 8 days’ output gave the following results for numbers of finished components produced:618 660 638 625 571 598 639 582Management is concerned about the variability of daily output and views any variance above 500 as undesirable. Test, at the 10% significance level, the null hypothesis that the population variance for daily output does not exceed 500.A researcher has used a one-way analysis of variance model to test whether the average starting salaries differ among recent graduates from the nursing, engineering, business, and education disciplines. She has randomly selected four graduates from each of the four areas. If MSE = 4, and SSTO = 120, complete the following ANOVA table. Is there a significant difference in the starting salaries among the four disciplines? (H0: No difference) Source SS DF MS F Treatment Error 4 Total 120
- A specialist machining company, manufactures components for oil exploration drills bits. Production specifications stipulate that the parts must have a maximum variance in length of 0.0004 mm. 30 components where sampled and found to have a s2 = 0.0005. Using a significance level of 0.05 to test if the population variance specification is being violated.a) Suppose that we want to get the rejection region for a one-sided right-hand side (small) hypothesis testing at 5% significance level α = 0.05 with sample size, n = 10. Hence, Find the critical region for a one-sided left-hand side (large α) at 1% level α = 0.01 and sample size n = 22 b) A normal population has a variance of 9.0. A random sample of size 9 gives sample variance 8.01 which was drawn from a normal population. Determine whether the variance from this random sample is 9.0. Test at 5% level of significanceCritically analyze the item total statistics provided in table 1 and suggest how the cronbach’salpha score of the construct can be improved to reach its desired threshold.Table 1 Item Total StatisticsScale Mean if Item DeletedScale Variance if Item DeletedCorrected ItemTotal CorrelationCronbach's Alpha if Item DeletedMotivation_116.691218.700.469.729Motivation_216.572419.179.849.530Motivation_316.514217.590.827.553
- Silicon chip manufacturers require the use of so-called "clean rooms" in which the air is filtered in a special way to keep the number of dust particles to a minimum. Five air samples were taken in each room and the dust level was measured on a scale of 1 (low) to 10 (high). Room 1 Room 2 Room 3 5 3 1 6.5 6 1.5 4 4 3 7 4.5 2.5 6 3 4 a) Do an analysis of variance and interpret the result.b) Based on the above results, if appropriate, use the Tukey-Kramer test to make all pairwise comparisons of clean rooms.As a marketing class term project, Jim is investigating whether senior students eat less frequently in fast-food chains than college freshmen. He asked 11 freshmen and 11 seniors to keep track of how many times they ate in a fast-food restaurant during the month of November. Assuming equal variances unknown, do a left-tailed test of Hypothesis whether he conclude that the mean is significantly smaller for college seniors than freshmen at the 5% level of significance. [Freshmen(F) -> 11 18 12 7 16 20 15 14 17 9 16 Senior(S) => 5 13 15 5 10 8 9 8 19 7 18 a) Carry out the hypothesis test above and draw the conclusion of the test, where S-mean = 10.64, F-mean = 14.09, S-variance = 24.25, F-variance = 15.69 b) What is the p-value for left-tailed test in a) -> used by z table (use up to 2nd decimal point value of tr, in a).In the macro relation between GDP and FDI, Dr Mudenda obtained the following valuesfrom a Stata output: FDI coefficient of 0.45; t-statistic of 3; and covariance (GDP, FDI)value of 0.41. In literature, this relationship between GDP and FDI has generally beenestablished to be statistically significant. Answer the following questions:i) Calculate the variance of the FDI variable and explain its implicationii) Use the confidence interval approach to test whether FDI’s influence on GDP isstatically significant or not in Dr Mudenda’s study. Use 5% level which gives 1.96critical values.iii) What is the expected value of the p-values for studies that have been conductedin literature?
- An Analysis of Variance (ANOVA) demonstrated the following results for course sense of community, F(2, 27) = 2.56, p = .07. Students in online courses (M = 12.4, SD = 2.26), blended courses (M = 13.62, SD = 5.56), and the residential courses (M = 14.65, SD = 7.56) were measured on their sense of community. What can be concluded based on these results?A company produces apple juice bottles with a volume of approximately 3 liters each. One machine fills half of each bottle with concentrate, and another machine fills the other half with water. Assume the two machines work independently. The volume (in liters) of concentrate poured by the first machine follows a normal distribution with mean 0.96 and variance 0.0007. The volume of water (in liters) poured by the second machine follows a normal distribution with mean 1.02 and variance 0.0018. A bottle of orange juice produced by this company is therefore a mixture of water and concentrate. What is the probability that a bottle contains more than 2.12 liters of juice?What is the critical value for an upper‐tailed hypothesis test of the population mean when the population variance is unknown in which a null hypothesis is tested at the 0.05 level of significance based on a sample size of 22? 1.645 1.721 1.734 1.323