| 1. Using Excel, SPSS or any other software package of your choice, analyze the data in problem 3.40 on page 91. Have the computer generate descriptive statistics and a histogram on the age. The descriptive statistics should at minimum include mean, median, mode, range, variance, standard deviation, measure of skewness, kurtosis, and the coefficient of variation. | |
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| 1a. What are the values for mean, mode, median, standard deviation, and coefficient of variation? | |
| Mean = | |
| Mode = | |
| Median = | |
| Standard Deviation = | |
| Coefficient of Variation = | |
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| 1b. Based on the values for mean, mode, and median, what statement can be made related to skewness of the distribution? | |
| Place your answer for question 1b in this cell | |
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| 1c. What is the interpretation of the value for coefficient of variation? (i.e. explain what it does it mean if COV=1% versus COV=100%) | |
| Place your answer for question 1c in this cell | |
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| 1d. Is the data for problem 3.40 mesokurtic, leptokurtic, or platylurtic? Justify your answer using descriptive statistics. | |
| Place your answer for question 1d in this cell | |
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| 2. Using a one population parameter test of hypothesis, test the hypothesis described for the following problem: Green Nursery specializes in custom-designed landscaping for residential areas. The estimated labor cost associated with a particular landscaping proposal is based on the number of plantings of trees, shrubs, and so on to be used for the project. For cost estimating purposes, managers use 2 hours of labor time for planting of a medium-size tree. Actual times from a sample of 10 plantings during the past month follow (times in hours): 1.9 1.7 2.8 2.4 2.6 2.5 2.8 3.2 1.6 2.5 | | | | | | 2a. Conduct the appropriate directional test of hypothesis using a significance level of 5%, to test whether the mean planting time exceeds 2 hours. Make sure your computer report has the answers to the following steps: | | | | State the null and alternative hypothesis. | | Place the null and alternative hypothesis in this cell | | What is (are) the critical value(s) of sample test statistics based on problem specified significance level? | | Place the critical value(s) of sample test statistics in this cell | | What is the calculated sample statistic based on sample data? (the computer generated output should provide this information) | | Place the value of sample test statistic in this cell | | Reject or don't reject null hypothesis? | | State "reject/don't reject null hypothesis" in this cell | | What statement should be made about the mean planting times based on this test of hypothesis? | | Place the statement about mean planting times in this cell | | | | 2b. Using the confidence interval approach, calculate a 95% confidence interval for the data in problem #2. | | Place the 95% confidence interval in this cell | | |
| 3. Use the data on page 367, problem #10.8, of the course text book to determine whether there is a difference in cost of gallon of milk in Seattle and Atlanta. Use significance level of 5%. | | | | State the null and alternative hypothesis. | | Place the null and alternative hypothesis in this cell | | What is (are) the critical value(s) of sample test statistics based on problem specified significance level? | | Place the critical value(s) of sample test statistics in this cell | | What is the calculated sample statistic based on sample data? | | Place the value of sample test statistic in this cell | | Reject or don't reject null hypothesis? | | State "reject/don't reject null hypothesis" in this cell | | What statement should be made about the difference in cost of gallon of milk in Seattle and Atlanta? | | Place the statement about the difference in cost of a gallon of milk in Seattle and Atlanta in this cell | | 4. Using your computer software program and the data on pg. 407, problem 10.63, answer the followings: | | | | | | | | Construct a 90% confidence interval to estimate the average difference between the price of name-brand soup and the price of store-brand soup. | | Place the 90% confidence interval in this cell | | | | Does it make sense to treat these variables (groups) as dependent or independent when conducting test of hypothesis? Why would it matter? What are the trade-offs? | | Place your answer to the above questions in this cell (variable treatment, trade-offs, …) | | Conduct the appropriate test of hypothesis to determine whether there is a difference between the price of name-brand soup and store-brand soup, using significance level of 10%. Use the five step process and analyze your results in relation to the information described in the exercise. | | | | State the null and alternative hypothesis. | | Place the null and alternative hypothesis in this cell | | What is (are) the critical value(s) of sample test statistics based on problem specified significance level? | | Place the critical value(s) of sample test statistics in this cell | | What is the calculated sample statistic based on sample data? (the computer generated output should provide this information) | | Place the value of sample test statistic in this cell | | Reject or don't reject null hypothesis? | | State "reject/don't reject null hypothesis" in this cell | | What statement should be made about the difference between price of name-brand soup and store-brand soup? | | Place the statement about the difference between price of name-brand soup and store-brand soup in this cell | | 5. Using the data in chapter 11, problem #11.13, pg. 428, have the computer do a one-way analysis of variance to determine whether there is a significant difference in the evaluations according to manager level. | | | | | | | | | 5a. What are the appropriate null and alternative hypothesis? | | | Place the null and alternative hypothesis in this cell | | | 5b. What is the test statistic that should be used for this type of test of hypothesis and its actual value based on your computer output? | | | Place the value of the test statistic in this cell | | | 5c. What is the critical value of the test statistic? | | | Place the critical value of the test statistic in this cell | | | 5d. What statement should be made about the null hypothesis based on your answers to the previous two questions? | | | Place the statement (reject/don't reject) null hypothesis in this cell | | | 5e. What is the conclusion specific to this problem based on the statement made about the null hypothesis in the previous question? | | Place the specific conclusion in this cell | 6. If you obtain a significant F statistic for question 5, run a Post-Hoc Comparison’s test on the 3 means to answer this question. You can select whichever Post-Hoc Comparison procedure you desire. If none exists on your software, do individual t-tests on all pairs of means. (This problem relates to the concept in chapter 11.3) | | | | | | 6a. Which Post-Hoc Comparison procedure did you use for this problem? | | Place the name of the Post-Hoc Comparison procedure used in this cell | | 6b. Which pairs of means are significantly different, if any? | | Place your answer for question 2b in this cell | | 6c. What is the conclusion specific to this problem based on the answer to "Which pairs of means are significantly different, if any?"? | Place your answer for question 2c in this cell =============== / \ ‘ 3.40 The 2010 U.S. Census also asked for each person’s age. SuppOse that a sample of 40 households taken: from'the census data showed the'age of the first person recorded on the census form to be asfollows. 42 29 31 38 55 27 28 33 a49 70 '25 21 38‘ 47 63 22 38 52 50 41 19 22 29 81 52 26 35 38 29 31 48 26 33 42 58 40 32 ’ 24 34 25 Compute P10, P80, Q1, Q, the interquartile range,and the range for these data. ' L3.41 Shown below are the top 15 market research firms in the United States in 2010 according to Inside Research and the 2011 Honomichl report. Compute the mean, median, P30, P60, _P90, Q1, Q3, range, and the interquartile range on these data. Company Sales ($millions) The Nielsen Co. $2,407.0 IV Kantar 914.7 IMS Health Inc. 801.0 SymphonyIRI Group 457.0 Westat Inc. 455.3 Arbitron Inc. 3904 Ipsos 379.6 GfK USA 290.9 Synovate 235.8 The NPD Group Inc. 173.7 ICF‘InternationalInc. ’ 153.2 ' JD. Power and Associates 147.3 comScore Inc.- 142.0 Maritz Research 140.9 dunnhumbyUSA LLC 1107 3.42 Shown in the left column are the top 10 companies receiving the largest dollar volume of contract awards from the U.S. Department of Defense in 2012 according to Barr Group Aerospace. Use this population data to compute a mean and a standard deviation for these top '10 companies. « Amount of Contracts Company ($billions) LockheedMartin 29.3 Boeing 27.8 Raytheon 14.2 General Dynamics 13.6 Northrop Grumman 8.7 UnitedTechnologies 7.9 L‐3 Communications ' 6.4 BAE Systems » 5.9 SAIC 5.1 Huntington Ingalls Industries 4.0 ‘ . Supplementary Problems ‘91 3.438hown here are the top twelve .biggestoil and gas companies in the world according to Forbes. Use these as population data and answer the questions that follow. ' ' ProductionVolume . 0 Company (millionbarrels per day) . SaudiAramco (Saudi Arabia) I 12.5 Gazprom (Russia) , 9.7 NIOC (Iran) A 6.4 ExxonMobil Corp. (USA) * 5.3 PetroChina (China) 4.4 BP(LH<) _4J Royal Dutch/Shell (NL/UK) 3.9 Pemex (Mexico) . ' 3.6 Chevron Corp. (USA) 3.5 KPC (Kuwait) ' 3.2 ADN0C(UAm 29 Sonatrach (Algeria) 1 f 2.7 a. What are the values of the mean and the median? Compare the answers and state which you prefer asa measure of location for these data/and why. 1 ) .What are the values of the range and interquartile range? Howdo they differ? ‘ ‘ ' ‘ What are the values of Variance and standard deviation for these data? . ‘ ‘ d. ‘What is the z score forADNOC?What is the z sCore fo ExxonMobil? Interpret these 2Scores. . ‘ C 3.44 The U.S.Department of the Interiorreleases figures on mineral production. Following are the 15 leading states in nonfuel mineral productiOn in the United States for 2010. ‘ State Value ($billions) Nevada . L 7.55 3 Arizona 3 p’ 6.70 Utah 4.42 Minnesota / v3.86 Alaska 3.24 California 2.71 Texas 2.56 Missouri > I 2.14 Florida 2.08 Michigan , t 1.96 Colorado ‘ 1.93 Wyoming 1.86 Pennsylvania 1.53 Georgia 1.50 NewYork: ‘ ' ‘ ' 1.29 a. Calcu1ate the mean and median. . b. Calculate the range, interquartile range, mean absolute deviation, sample variance, and sample standard deviation. ‘ c. Sketch abox-and-Whisker plot. | | | | |