Lawn 1 Vs. Lawn 2

I am pro bono counsel to Clean-Cut Lawn Care, LLC. It has been alleged in your claim that Clean-Cut Lawn Care, LLC used “copyrighted material” in the form of an image on their social media (Facebook page). In response, please be advised that Clean Cut Lawn Care, LLC is a limited liability company. This shall serve as a reply to your “Masterfile Corporation’s Copyright Infringement Claim” dated June 22, 2016 regarding my client’s use of “the photograph.” The facts and circumstances surrounding the alleged use would lead one to conclude that it was unintentional and accidental. There is no evidence as to where my client allegedly obtained a copy of “the photograph.”

From the above output, we can see that the p-value is 0.000186, which is smaller than 0.05 (if we select a 0.05 significance level).

The purpose of this experiment is to observe secondary succession at Umass Dartmouth and test the prediction that diversity increases through ecological succession. Students went outside to the lawn underneath the wind mill on campus. 3 transect sites were located by the instructor. Students predicted the species and percent cover of each species on each trail site. Bar charts were made to compare the number of species in each transect. Pi-charts were made to compare the percent coverage of species in each transect.

The hypothesis was, If any of the products (orange juice, coca cola, taco sauce) cleans pennies, then the coca cola will clean the pennies the best. This was rejected. None of the products actually took of dirt because when the pennies were weighed it never decreased it just stayed at 2 grams each time. Before any of the trials the pennies weighed 2 grams. After the first trial (30 minutes) the weight was still 2 grams. For the last trial after the 30 minutes it still stayed the same which was 2 grams. So all the data and the average was at zero on the graphs because there was no dirt taken off any of the pennies. In this case the graphs showed no trend, they were all at zero. The products were suppose to clean the pennies but it did not work out as planned so they did not clean the

The problem with the experiment is regression to the mean. Regression is a threat that occurs when you have a nonrandom sample from a population and measures that are imperfectly correlated.

JandTs Lawn Care is a lawn care provider. They are located in Spokane, Washington. JandTs Lawn Care was established in 1997. Their lawn care services include garden cleanup, yard cleanup, thatching/aeration, sprinkler installation, sprinkler repairs, and sprinkler blowouts. JandTs Lawn Care offers sprinkler services such as spring start-ups, fall blowouts, sprinkler repair and adjustment, and installation and renovation. They are bonded, licensed, and insured.

Since P value is 0.049 which less than o.o5, the null hypothesis is rejected. The sample supports the alternative hypothesis that the mixing rate of the machine is less than 5 gallons per minute.

One thing to note is that the closer t is to 0, the more likely that there isn’t a significant difference, thus, there wasn’t that great of a difference when comparing the values. Continuing, the degrees of freedom of an estimate is the number of independent pieces of information that went into calculating the estimate. The degree of freedom for this experiment was 6, which explains the overall number of values that have the liberty to differ in the data set. Moreover, the p-value represents the probability that one has to make a mistake and reject the null hypothesis when it is actually true. The null hypothesis is usually accepted when it is <0.05.

Confidence Report: I am confident that our data in the experiment was “good data”. We had the expected positive results occur from the identification experiments. We made sure to measure everything correctly. We correctly identified the

This experiment was about comparing different heights of track with the speed of a toy car. We changed the height of the track three times, we timed the car going down the track each time and got the following results. The higher the ramp was, the faster the car went down the track. We first started with the height of the track at 2.19 meters and the average speed was 3.03 mps, which turned out to be the second slowest average track time throughout the experiment. The second track height we tried was 1.2 meters. The average speed for this track was 2.97 which was also the one of the slowest average track time we had recorded. This track was the lowest height and in the end the average speed was the lower, which proves our point that if the

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Results: The p-value of 0.00203 is p&lt;0.05 thus we reject the null hypothesis and conclude that there is a significant difference between the two means.

The reason we conducted the experiment was to learn how much fertilizer to use on lawn grass, and how it affects grass. We found in the research that fertilizer helps the plant grow (with the right amount) in long amounts of time. Our hypothesis was if we change the amount of fertilizer in the grass plants soil than the amount with 1 tsp. will be the tallest and healthiest, because it will not be too much or too little but just right. To create this experiment we filled cups with soil and poked holes for the grass seeds. Then we watered the seeds and added the amount of fertilizer needed to each cup. An answer to our question is that fertilizer does affect plant growth with the right amount of time needed. In our experiment the plants without

Many things went well during the testing of my experiment. First of all, the data was very accurate, because shots

Most importantly, it’s very hard to give exact measurements for the agar cubes. Therefore, each group could have had varying sizes of cubes or the size could have differed from the one we said it was. For example, the cube with the dimension of 1cm could have been more or less than that. To improve the accuracy, we can use an electronic balance to make sure that the cubes with the same dimensions have the same mass to ensure that their sizes are equal. Moreover, we didn’t measure the amount of hydrochloric acid we put into the beakers within the groups as the only instruction we got was to pour it in until the cubes are covered. Having varied amounts of hydrochloric acid became a source of error in the experiment. Next time, we should put the same amount of hydrochloric acid into the beakers. We can do this by using a measuring cylinder. Furthermore, not taking into account the possibility of an outlier became a source of error in the experiment. Not taking out the outlier from the data or repeating it for that specific one will wrongly influence the average, which in turn will influence the standard deviation. This could lead us to think that the experiment was more or less reliable than it actually was. For example, for the cubes with 1cm dimension, one of the values was 209 seconds while the others were 596,790, 720,750 and 841 seconds. This suggests that an error has been made in that