\"\"

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(a)

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The function \"\".

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If \"\" is a probability density function then it must satisfy \"\".

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\"\"

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\"\"

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\"\"

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 \"\"

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\"\"

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\"\"

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\"\".

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Since \"\", the function is probability density function for the spinner\"\"s values.

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\"\" for all \"\" and \"\".

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\"\"

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(b)

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Find the mean by evaluating integral.

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Since the mean divides the area under a distribution into two equal parts and since in this case the distribution value is constant.

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The mean of any probability density function \"\" is defined to be \"\".

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The function \"\".

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\"\"

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\"\"

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\"\"

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\"\"

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\"\"

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\"\".

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\"\"

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(a) \"\" for all \"\" and \"\".

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(b) Mean \"\".