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January 6th, 2017, 11:21 AM  #1 
Newbie Joined: Jan 2017 From: UK Posts: 2 Thanks: 0  Requesting long answer on GCSE Statistics Coursework please (hypothesis 1)
For my Statistics Coursework I was given the topic weight and I had to choose two hypothesis to test. This is the data I am going to use: https://en.wikipedia.org/wiki/List_o...aft_of_Germany ( I have also have the same list for UK) I am going to be testing hypothesis to do with the correlation between empty weight and top speed of fighter planes used by the Luftwaffe/UK during WW2. All questions are in bold! Hypothesis: My first hypothesis will be between the correlation of weight and top speed of fighter planes, but, I'm not sure whether to do German planes or UK planes, because the German planes yield a weak negative correlation 0.1 and the UK planes yield a weakmoderate positive 0.3. Which country do you think allows for more analysis? This is what the actual hypothesis would look like Null Hypothesis – There is no association between the weight and top speed of fighter planes used by the Luftwaffe/ UK during the Second World War Alternate Hypothesis (German) – There is a negative correlation between weight and top speed of fighter planes used by the Luftwaffe during the Second World War, probably weak as there are many other variables such as … OR Alternate Hypothesis (UK) – There is a positive correlation between weight and top speed of fighter planes used by the UK during the Second World War, probably weakmoderate as there are many other variables such as … I’m new to the terms null and alternate hypothesis, is this what it should be like? Do I have to be really specific? Should I include the bits such as “used by the Luftwaffe during the Second World War” because I feel like if I just said planes in general id be marked down Graphs / Calculations Will I need to group the data and use things such as grouped frequency or cumulative frequency? I know I’m going to plot a Scatter Graph and use Spearman’s Rank Correlation Coefficient but other that I’m not sure which graphs and calculations to use. I’m not sure if calculations such as standard deviation are irrelevant or if cumulative frequency graphs are also irrelevant. Which graphs or calculations would help test the hypothesis? (Although this is for GCSE I wouldn’t mind doing much higher level calculations if they help) If you think you could help with my second hypothesis please visit: 

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answer, coursework, gcse, hypothesis, long, requesting, statistics 
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