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An Observed Frequency Distribution of Exam Scores Is as Follows Exam Score under 60 60697079808990100Frequency 3675857034\begin{array} { l| } \text {Exam Score }& \text {under 60 }&60-69&70-79&80-89&90-100\\ \hline \text {Frequency }&36&75&85&70&34\end{array}

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An observed frequency distribution of exam scores is as follows: Exam Score under 60 60697079808990100Frequency 3675857034\begin{array} { l| } \text {Exam Score }& \text {under 60 }&60-69&70-79&80-89&90-100\\ \hline \text {Frequency }&36&75&85&70&34\end{array}

i) Assuming a normal distribution with μ=75\mu = 75 and σ=15\sigma = 15 , find the probability of a randomly selected subject belonging to each class. (Use boundaries of 59.5,69.5,79.5,89.559.5,69.5,79.5,89.5 , 100.)
ii) Using the probabilities found in part (i), find the expected frequency for each category.
iii) Use a 0.050.05 significance level to test the claim that the exam scores were randomly selected from a normally distributed population with μ=75\mu = 75 and σ=15\sigma = 15 .

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