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Pumpkin Case Study

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Steve, the pumpkin, was bought at Cub Food on Monday 10, 2016. The name Steve was given to the pumpkin because my boyfriend’s dad name is Steve and he loves to carve pumpkins. After naming the pumpkin, Steve was being weighed using a scale. Steve weighs (1.82 lbs ) . When counting grooves , search for ridges that ran vertically from top to bottom of the pumpkin that also divides the pumpkin into segments. In this case, Steve have (10 grooves ) that was very easy to count because the indent were deep and were also white lines going down the grooves making it easy to find. Measuring tape were being used to measured the pumpkin horizontal and vertical circumferences . Both circumference were being round to the hundredth because Steve horizontal …show more content…

There is a weak positive correlation between the weight of pumpkin and its grooves because the more it weighs the bigger it is to have room for more grooves to grow but there are also other factors that can affect how much grooves a pumpkin can have such as the variety of pumpkins that’s why the correlation is weak. Without any experience or knowledge about pumpkins , the hypothesis were being made based on instinct and reasoning which can be more …show more content…

The first limitation is the types and varieties of the pumpkin. The type of pumpkin should be a control variable because each type pumpkins grows differently. When every participants buy their own pumpkin with no instructions of which one to buy the data is misleading because it’s not specific to which kind of pumpkin is being tested on. The second limitations is how the pumpkin is being weighed and measured. Each participants have their own way of measuring and weighs the pumpkin, some might round their data , other might not. Therefore the data isn’t consistent. Last but least, how the data is being collected. For example, the thickness is not consistent around the whole pumpkin which can cause an inaccurate data for the thickness of the pumpkin. In order to make the data more reliable, there should more controlled variables. Such as every participants should buy the same type of pumpkin. All data should also be collected with no rounding which helps make sure the data is consistent. Lastly when measuring the thickness of the pumpkin it should be measured all around top, bottom, and both sides then average the

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A larger sample size could have enabled averages to be resulted, and the experiment could have had several trials until concordant results are attained to increase the reliability. To enhance the accuracy of the results, a machine such as a cheese wire to cut straight along the edge could have been employed that would more accurately cut the cubes and hence reducing human error. This would be efficient as there is a large chance of human error when cutting the cubes by hand as the agar is slippery. Cubes with different sizes could be observed to improve the validity of the experiment. The weight of the bottom of the cubes pushing against the beaker likely caused an error to occur.

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We then took the potato cores out of the empty beaker and dabbed them lightly with paper towel to get any excess solution off. We did this quickly and following it we then took the mass of all four potato cores again and recorded

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The dependent variable, which is the time taken for the empty muffin paper cup to touch the ground (immediately after it was dropped). This will be measured using a stopwatch, which will start when the paper cup is dropped, and stopped when the paper cup touches the ground. This will be done on table, preferably inside a science laboratory. (The table will be parallel to the muffin paper cup).

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