Normal Distributions

Commonly referred to as Gaussian distributions, Normal distributions are types of probability distributions characterized by their symmetry around the mean, indicating that data points close to the mean are more commonly observed than those far from it. When visualized on a graph, these distributions resemble the shape of a bell curve.

Finding the Probability of the z-Score Range

In a certain city, the average monthly temperature is 30 degrees Celsius with a standard deviation of 3 degrees. What is the probability that the average temperature for a randomly selected month falls between 27 and 33 degrees?

Finding the Probability of a Range in a Nonstandard Normal Distribution

A set of data is normally distributed with a mean of 100 and a standard deviation of 15. What is the probability that a randomly selected data point will be between 85 and 115?

Finding the z-Score Using the Table

Suppose the grades in a statistics class follow a normal distribution with a mean of 75 and a standard deviation of 8. What is the z-score for a grade of 85?

Finding a t-Value for a Confidence Level

In a population where the mean is \( \mu = 100 \) and the standard deviation is \( \sigma = 15 \), we are interested in finding the t-value for a 95% confidence level for a sample of size 25. What is the t-value?

Finding the Critical t-Value

A random variable X follows a normal distribution with a mean of \(\mu = 5\) and a standard deviation of \(\sigma = 2\). What is the critical t-value for a 90% confidence interval?

Finding the z-Score

The average height of adults in a certain population is 170 cm with a standard deviation of 10 cm. If a person from this population has a height of 180 cm, what is the z-score?