Instructions There are many examples available that look at comparing two samples. In the real world, we don't often kno

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answerhappygod
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Instructions There are many examples available that look at comparing two samples. In the real world, we don't often kno

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Instructions There Are Many Examples Available That Look At Comparing Two Samples In The Real World We Don T Often Kno 1
Instructions There Are Many Examples Available That Look At Comparing Two Samples In The Real World We Don T Often Kno 1 (59.49 KiB) Viewed 29 times
Instructions There Are Many Examples Available That Look At Comparing Two Samples In The Real World We Don T Often Kno 2
Instructions There Are Many Examples Available That Look At Comparing Two Samples In The Real World We Don T Often Kno 2 (71.28 KiB) Viewed 29 times
please include minitab output and p values
Instructions There are many examples available that look at comparing two samples. In the real world, we don't often know the standard deviation so the student t-distribution would be used most often in two sample comparison tests. For the written portion of this chapter's homework, I would like you to go to the Statistics Canada site and look for graphs that are comparing two samples. Usually, you will see a bar graph with two colors with the bars representing a comparison of two samples. I would like you to find 2 different examples of graphs that are comparing two samples. The two samples can be paired samples, two independent samples, or two proportions. They can both be the same type of samples. You will run the test in Minitab to determine whether there is a statistically significant difference. Note: It is easiest to find two-proportion examples. Look for posters that compare two percentages. In Minitab, you need to enter the percentages as proportions. If you can find the sample size or approximate sample size then the percentage can be changed to a proportion by multiplying the percentage by the sample size. For example, if you think that 5000 were surveyed are the percentages they give are 15% and 27% then you would convert them to proportions by 0.15 X 5000 = 750 so the proportion would be 750/5000 0.27 X 5000 = 1350 so the proportion would be 1350/5000 Homework 1. Take screenshots of the posters and explain what they are comparing in the graph. 2. Answer: How were they likely to have collected the data for comparison? What is the approximate sample size? 3. Run the Minitab test and include the output. Write the hypothesis and conclusion. Is there a significant difference in the samples they are comparing? 4. Do you think the poster was trying to imply that there was a significant difference? Here is the rubric I will use when for grading
Poster 1 Rail transportation in Canada, 2020 In Canada, CN and CP are the mainline freight companies, along with several short-line companies, while VIA Rail is the mainline passenger company The industry's total operating revenue was $16.5 billion, while total operating expenses were $10.9 billion. There were 31,607 employees in the rail transportation industry. whose average salary was $95,937 There were 2,470 freight locomotives and 57,158 freight cars. Destination Origin and destination of all rail shipments, by weight Origin Alberta was the top origin for cargo carried by railways, while British Columbia was the top destination. Tonnage of commodities 86.6% Canada 150 120 13.4% United States and Mexico 90 million tonnes 30 73.3% Canada 26.7% United States and Mexico Ati region Oint Man Sash Alta BC US. and Mexico Non-intermodal traffic accounted for 88% of all tonnage moved by rail. Of the 321.7 million tonnes of shipments, coal was the top commodity moved by rail, at 43.1 million tonnes. Wheat Mixed loads or unidentified freight Iron ores and concentrates Fuel oils and crude petroleum Potash Coal 43,050,500 tonnes 31,262,809 tonnes 28,356,267 tonnes 22,482,766 tonnes 19,008,202 tonnes 15,220,456 tonnes Source Cara A Surveyor Com Hey there of Canada, as regreted by the Minister of Industry, 2012 1 tuntee Statique Canada Care www.statcan.gc.ca Canada
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