Final answer:
Without specific mean and standard deviation values for the normal distribution of variable y, we cannot calculate Pr(y). Normally, this involves using the cumulative distribution function of a normal distribution and standardizing to a Z-score if necessary.
Step-by-step explanation:
The question indicates that y is distributed normally, but does not provide specific mean (μ) and standard deviation (σ) values, required for computing probabilities from a normal distribution. Thus, without these values, we cannot calculate Pr(y). However, in general, we utilize the cumulative distribution function (CDF) of a normal distribution to find the probability that a random variable Y is less than or equal to a specific value. The probabilities for the normal distribution can often be found using statistical software, graphing calculators, or a standard normal distribution table.
To calculate a specific probability, such as Pr(Y≤y), we would standardize the variable into a Z-score if dealing with a normal distribution N(μ, σ2) and then use the CDF to find the probability associated with that Z-score. The Z-score is calculated as Z = (y - μ) / σ. Round all final probabilities to four decimal places as required.