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Pumpkin Case Study

792 Words4 Pages

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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