Regression Project: Analyzing Real Life Data with Bell Curve Challenges

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The regression project involves analyzing a dataset of 18 points with a mean of 5.43 and a standard deviation of 0.971. The 95% confidence interval for the mean ranges from 4.951 to 5.916, with a median of 5.45. The confusion arises regarding the formation of a Bell Curve, as the user mistakenly believes there are two medians, when in fact there is only one. The discussion highlights the distinction between modes and medians, suggesting a potential bimodal distribution if there are two modes present. Clarification on whether the data is from a discrete or continuous variable is also sought.
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I have a regression project where I have to pick a real life situation data and answer questions.
here is my data:

18 data points were entered:
4.00 4.20 4.50 4.60 4.60 4.70 4.90 5.10 5.40 5.50 5.60 5.60 5.80 6.00 6.10 6.80 6.90 7.50

Mean = 5.43

95% confidence interval for actual Mean: 4.951 thru 5.916

Standard Deviation = 0.971

Hi = 7.50 Low = 4.00

Median = 5.45

Average Absolute Deviation from Median = 0.767


SO One of my questions require me to make a Bell Curve. According to my data I can't.. because I have two medians. I read online that when you have two medians it forms a Bimodal curve. I am so confused because in math B2 they only teach you about the Normal curve. Please help!
 
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You have only one median, 5.45.

EnumaElish
 
Did you mean two modes?
 
Is the data from a 'discrete variable' or a 'continuous variable'?
 
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