![]() During this course my hope is that you experience an awareness of the data around you. You might not go into statistics professionally, yet you will always live in a world filled with data. The point is that we are surrounded by data. Sakau data suggested that sakau strength was related to the distance from Kolonia. I asked some of the markets to share their cup tally sheets with me, and a number of the markets obliged. This implied a relationship between the strength of sakau and the distance from the centrally located town of Kolonia. While researching sakau consumption in markets here on Pohnpei I found differences in means between markets, and I found a variation with distance from Kolonia. This allowed an analysis of the hue angle at the center of the rainbow. Could the middle of the rainbow actually be at 180° cyan, or was Newton correct to say the middle of the rainbow is at 120° green? I used a hue analysis tool to analyze the image of an actual rainbow taken by a digital camera here on Pohnpei. ![]() And there is no cyan in Newton's rainbow. Green is not the middle of the hue color wheel. I knew that Newton had put green in the middle of the red-orange-yellow-green-blue-indigo-violet rainbow, but green is at 120° on a hue color wheel. The hues were based on a color wheel with cyan at the 180° middle of the wheel. One term I learned that a new Cascading Style Sheets level 3 color specification for hue, luminosity, and luminance had been released for HyperText Markup Language web pages. "The dump trucks are basically priced by a linear relationship between horsepower and price." The representative included a complete list of horsepower and price Terex articulated dump trucks. "Funny you should ask," a Terex sales representative replied in writing. I wrote to Terex in Scotland and asked them about how the prices vary for the dump trucks, explaining that I teach statistics and thought that I might be able to use the data in class. I found pictures of Terex™ dump trucks on the Internet. I also ran a survey of students and determined that the college students prefer Kikkoman to Yamasa.Īs a child my son liked articulated mining dump trucks. I eventually showed that the mean price per milliliter for Yamasa was significantly higher than Kikkoman. I recorded Yamasa and Kikkoman soy sauce prices and volumes, working out the cost per milliliter. I walked into a store back in 2003 and noticed that Yamasa™ soy sauce appeared to cost more than Kikkoman™ soy sauce. I later incorporated this data into the fall 2007 final. I later find that a linear correlation does exist, and I am able to show by a t-test that the faster jumpers have statistically significantly higher jump counts. I used my stopwatch to record the time and total jump count. I saw that I could begin to predict jump counts based on the starting rhythm of the jumper. Then I noticed that faster jumpers attained higher jump counts than slower jumpers. With a mode, median, mean, and standard deviation. The number of jumps for each jumper until they fouled out was being recorded on the wall. ![]() I walked into a school fair and noticed a jump rope contest. We all walk in an almost invisible sea of data. Stats 11 Testing for a difference between two sample means with the t-test Stats 08 Sampling distribution of the mean Stats 07 Introduction to the Normal Distribution Stats 04 Paired Data and Scatter Diagrams Stats 01 Introduction Population Samples Levels of Measurement Hypothesis testing against a known population mean.Introduction to the normal distribution.
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