Solar energy generation along highways. Refer to the International Journal of Energy and Environmental Engineering (December 2013) study of solar energy generation along highways, Exercise 8.39 (p. 457). Recall that the researchers compared the
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Statistics for Business and Economics (13th Edition)
- 1) A series of experiments were conducted to determine the effect of air voids on percentage retained strength of asphalt. For purposes of the experiment, air voids are controlled at three levels; low (1-3%), medium (4-6%), and high (7-9%). The data are shown in Table 1. Do the different levels of air voids significantly affect mean retained strength? Use a = 0.05. Table 1: Results of the air voids effect on percentage retained strength of asphalt Air Voids Low Medium High 106 80 78 90 69 80 Retained Strength (%) 103 94 62 90 91 69 79 70 76 88 83 85 92 87 69 95 83 85arrow_forwardThe study sorted PIR data into three categories: Use the graphs to estimate the following information from the study. You may wish to record your responses for use in later questions. Part A: The total number of obese men is about million. Part B: The total number of obese women is about million. Part C: The number of obese men with PIR<130% is about million. Part D: The number of obese women with PIR<130% is about million.arrow_forwardEfforts by airlines to improve on-time arrival rates are showing results. Boston.com reports that in the first 10 months of 2012 on-time arrival rates at U.S. airports were the highest they have been since 2003. During this period 82% of flights landed within 15 minutes of their scheduled time. Are there differences among the major airlines? The data in Sheet 35 show the number of on-time arrivals for samples of flight taken from seven major U.S. airlines in 2012. Using a 0.05 level of significance, what is the p-value and what is your conclusion? Sheet 35 Arrivals American Airlines Continental Airlines Delta Airlines JetBlue Airlines Southwest Airlines United Airlines US Airways On-time 83 54 96 60 69 66 68 Late 16 18 21 22 23 15 12 99 72 117 82 92 81 80 Select one: a) Chi-square statistic = 4.32, p-value = 0.034, reject the null hypothesis, there is a statistically significant differences in the proportion of on-time arrivals b) Chi-square statistic = 7.370,…arrow_forward
- Joan's 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 one and half hours of labor time for the planting of a medium-sized tree. Actual times from a sample of 10 plantings during the past month follow (times in hours). 2.3 0.9 2.1 1.4 3.2 2.4 2.1 1.8 3.3 1.4 With a 0.05 level of significance, test to see whether the mean tree-planting time differs from one and half hours. a. State the null and alternative hypotheses. H0 : =u 1.5 Ha : not=u 1.5 b. Compute the sample mean. (to 1 decimal) c. Compute the sample standard deviation. (to 3 decimals) d. What is the p-value? t-value (to 3 decimals) p-value e. What is your conclusion? We reject the null. There enough evidence to prove that the mean tree-planting time differs from hoursarrow_forwardPlease share a PDF file of solutions.??arrow_forwardCompute the standard scores for the values 0.49, 0.18,and 0.90. Interpret these scores. What conclusions can you make about these data values based on their standard scoresarrow_forward
- Only answer the questions typed: A. indicate whether it's one or two sidedB. Indicate whether it's a test of means or proportionsC. Write out the expression for determining the P-valuearrow_forwardThis dataset provides information on temperature change with respect to a baseline climatologyacross 176 countries from 2002 to 2021. It includes data on temperature variations over a 20-yearperiod and is based on information from various sources, including weather stations, satellites,and ocean buoys. The dataset allows for the analysis of temperature trends in different countriesand regions, as well as the identification of areas that are particularly vulnerable to temperatureshifts. The temperature change measure by the unit of degree Celsius, If the temperatureincreasing the index is positive and when the temperature is decreasing the index is negative. Identify the types of the attributes• Identify the relationship between attributes• Select minimum 6 different analyses which cover the all data set and present the resultsusing SPSSClearly mention the statistical functions use for the analysis.arrow_forwardReduced heart rate variability (HRV) is known to be a predictor of mortality after a heart attack. One measure of HRV is the average normal-to-normal beat interval (in milliseconds) for a 24-hr time period. Twenty-two heart attack patients who were dog owners and 80 heart attack patients who did not own a dog participated in a study of the effect of pet ownership on HRV, resulting in the summary statistics shown in the accompanying table. The authors of this paper used a two-sample t test to test H0: ?1 − ?2 = 0 versus Ha: ?1 − ?2 ≠ 0. What conditions must be met in order for this to be an appropriate method of analysis? (Select all that apply.) Find the test statistic and P-value.arrow_forward
- Reduced heart rate variability (HRV) is known to be a predictor of mortality after a heart attack. One measure of HRV is the average normal-to-normal beat interval (in milliseconds) for a 24-hr time period. Twenty-two heart attack patients who were dog owners and 80 heart attack patients who did not own a dog participated in a study of the effect of pet ownership on HRV, resulting in the summary statistics shown in the accompanying table. Measure of HRV(Average Normal-to-Normal Beat Interval) Mean StandardDeviation Owns Dog 871 134 Does Not Own Dog 800 138 (b) The paper indicates that the null hypothesis in part (a) was rejected and reported that the P-value was less than 0.05. Carry out a two-sample t test. (Use ? = 0.05. Use ?1 for heart attack patients who are dog owners and ?2 for heart attack patients who do not own a dog.) Find the test statistic and P-value. (Use SALT. Round your test statistic to one decimal place and your P-value to three decimal places.) t=…arrow_forwardReduced heart rate variability (HRV) is known to be a predictor of mortality after a heart attack. One measure of HRV is the average normal-to-normal beat interval (in milliseconds) for a 24-hr time period. Twenty-two heart attack patients who were dog owners and 80 heart attack patients who did not own a dog participated in a study of the effect of pet ownership on HRV, resulting in the summary statistics shown in the accompanying table.arrow_forwardJ 2arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillBig Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt