If you were to decide to remove outlying data points from you analysis what are two ways you could indicate this in your report to ensure you are being honest about you data analysis

If the outlying data points are to be taken out from the report to guarantee the analysis of examination is right is to eliminate only if that isn't right or if there is enough data to check the data points once more.

One shouldn't eliminate outliers if the outcomes are critical and there are numerous outliers in data point. While eliminating the data points, one can trim the data points or change it with closest with mean or median.

step 1 ammonium can be absorbed by plants, but some is converted into nitrates which are better for plants to absorb. this is called nitrification. 2. step 2 the deer eats the plants and uses the nitrogen-containing proteins for cell growth. 3. step 3 bacteria in the soil conduct nitrogen fixation to convert nitrogen gas from the atmosphere into ammonium. 4. step 4 some of the nitrates are absorbed back into plants, but denitrification breaks down the nitrates into nitrogen gas released back into the atmosphere. 5. step 5 nitrogen is found in the urine, which gets broken down into ammonium through the process of ammonification. 6. step 6 plants absorb the ammonium and begin assimilation, the process to add the nitrogen to protein.

after making a punnet square using bv bv bv bv you will find that the ratio will be 9: 7 or a 128.6% probability.

hope this