danaleeling

Given the confusing bimodal soap distribution of last spring , I omitted that demonstration this term and went directly into the bead distribution. Spreadsheet This term I again only looked at the distribution horizontally. Simplify. I tried to make more clear than in past terms that the middle of the scattering of beads was the mean, and that somewhere out around one and half tiles up and down was one standard deviation away from the mean. I did this prior to counting the beads per tile. The mean and standard deviation were generated by the spreadsheet. The distribution was nicely normal with 253 beads thrown, 38 more beads than the spring 215 beads. I threw all rounds, hearts, stars, letters, and animals. Smoothed out (the blue line) the distribution is only very slightly leptokurtic with a kurtosis of 0.074. Desmos was used to show that the red curve can be produced by just two values: the mean and the standard deviation.  Desmos I then previewed 7.3 in Desmos showing that the area

I opened the Monday video playlist with a short preamble, a vocabulary advanced organizer of a sort. I asked about the room temperature today and received a guess of 80. I then showed the SMARTboard sensors screen displaying 26°C at 89% humidity. The term I brought the ice in a paper cup that contained water and which had been held in the freezer. I did not try to measure the temperature of the liquifying coconut oil.  Outdoor air temperature in the sun was 95℉. The prep room being at 21℃ and the room air temperature of 28℃ put coconut oil liquifaction between those two temperatures. The ISGlobal site was used to calculate the heat index. The SMARTboard sensors reported room temperature and humidity. I wrapped up with a video of Lorena as a demonstration that heat adaptation is possible, and that as a furless animal, we were born to run.  Sunrise was very orange on laboratory morning.  Radiation fog hung in the

Blazing sun in a cloudless, windless sky is unusual for CHEEF benefits visit to Island Food Community of Pohnpei. I took advantage of the conditions and held class to the wast of the Japanese agriculture station. Having sent the presentation link out via Canvas Inbox to the students, I presented on the Tripltek to the class. Cultural benefits of local food Promotes local cultural farming and fishing practices Connects one to the land, the tiahk en sahpw. Health benefits of local food Protection against development of disease Produced without chemical herbicides, pesticides Environmental benefits of local food Food is in a locally grown, biodegradable "container" No shipping by ship required, far less fossil fuels burned in transport Economic benefits of local food Local farmers gain income, GDP is positively impacted Substitutes for foreign imports and improves national balance of trade Food security benefits of local food No dependence on

Monday and section 5.1 opened with coverage of homework 4.4 and a working of the ball bounce statistics but using essay versus math for MHS. The board was balky and slow dealing with the large data set. Kept fighting against a copy and paste. By 9:20 I shifted into probability, distributing a penny to every student. A flip led to 8 heads and 9 tails. I flipped to make n even and landed a tenth tail. Why didn't we get 9 heads and 9 tails? Is the simulation broken again? No, random small variations away from 50/50 are expected. What isn't expected is 18 tails. Then I moved on into the core lecture including the unnin and thunnim, dice. The dice lecture was abbreviated as time constraints impinged on the presentation. I included a one side die in the lecture.  To demonstrate that relative frequency is probability and to show that sample values can only lead to conclusions about what the population values are not, not what they are, I used a mix of 40 blue marbles and 1

Chapter six includes a look at essential fat versus storage fat. This seemed to be a good time to follow up on the term start BMI measurement with a full body fat measurement. This worked better than I expected. Perhaps the students have become more comfortable with me and with the course than they were in the first week.  I posted a Tanita chart off of their Asian site for reference. This activity required 50 minutes, so only the last ten started into the chapter content. 

In passing during laboratory five I mentioned that perhaps the force of friction acting to slow the RipStik might be measured by dragging me along the sidewalk. Then I realized that this could actually be done.  With a little more thought I realized that I could use F = Δp ÷ Δt to obtain a second estimate of the force of friction. As outline on the board, a three meter speed trap would obtain v₀. The kilogram spring scale in the prep room provided the mass m. Thus momentum p₀ was within each reach. Coasting to a stop influenced only by frictional forces would complete the calculation: (p₀ - 0)/Δt.  This would require only two times: the 3 meter speed trap tranversal time and the total time to decelerate (which included the speed trap time) Preliminary calculations suggested a force of 10 Newtons, which meant the brown 10 Newton spring scale might be sufficient. Choosing the brown spring scale proved to be an optimal choice as actual forces were less

The only failure today was that the ants found the donuts within twenty minutes. A donut failure. Lesson learned. Towel and tied in the future. The cups are rather sad and should be replaced by disposable cups. Kapualani and Sucie work on the effect of grit This term, guided by forgotten scales mentioned in the spring blog, nothing was forgotten.  Mirabells, Emylia, and Chem also worked with grit. Only the two 2000 gram scales were used to avoid unnecessary decimals and provide capacity to measure up to 2000 grams. One group reached 1370 grams.  Brian and Darsen were one of two weight impact measuring groups. This term I started set up early and even remembered to print out the days sheets. Rather than printing from Google Sheets, I created two single page Google Docs files with a simplified grit sheet. These helped tremendously and we're an improvement over having grit on the SMARTboard. Fumie-Kate performing data collect