Practice Questions on Empirical Rule

Various practice questions on Empirical Rule are,

Q1: Average height of students in a class is 65 inches with a standard deviation of 3 inches. What percentage of students have a height between 62 inches and 68 inches?

Q2: Mean score on a standardized test is 500 with a standard deviation of 50. Approximately what percentage of students scored between 400 and 600 on the test?

Q3: A company’s monthly profit has a mean of $10,000 with a standard deviation of $2,000. What percentage of months does the company expect to have profits between $6,000 and $14,000?

Q4: Average daily temperature in a city during winter is 40°F with a standard deviation of 5°F. About what percentage of days can the residents expect the temperature to be between 30°F and 50°F?

Q5: Weight of apples in a crate follows a normal distribution with a mean of 150 grams and a standard deviation of 20 grams. What percentage of apples weigh between 110 grams and 190 grams?

Empirical Rule

Empirical Rule, also known as the 68-95-99.7 rule, states that in a normal distribution, approximately 68% of the data falls within one standard deviation of the mean, 95% within two standard deviations, and 99.7% within three standard deviations.

In this article we will understand, Empirical Rule, Normal Distribution, Standard Deviation, Applications of Empirical Rule, Empirical Rule Formula, and others in detail.

Table of Content

  • What is Empirical Rule?
  • Normal Distribution
  • Empirical Rule and Standard Deviation
  • How Does Empirical Rule Work?
  • Formula of Empirical Rule
  • Empirical Rule Vs Chebyshev’s Theorem
  • Chebyshev’s Theorem
  • Applications of Empirical Rule

Similar Reads

What is Empirical Rule?

Empirical Rule, also known as the 68-95-99.7 Rule, is a statistical guideline that describes the distribution of data in a normal distribution. It states that in a bell-shaped curve, approximately 68% of the data falls within one standard deviation from the mean, about 95% within two standard deviations, and nearly 99.7% within three standard deviations. This rule provides a quick way to understand the spread of data and is applicable in various fields for analyzing and interpreting distributions....

How Does Empirical Rule Work?

Empirical Rule serves as a valuable tool for estimating and understanding the variations within a dataset. By leveraging the concept of standard deviations, it provides a framework for assessing the expected variability in outcomes. In data analysis, where information is akin to gold, the empirical rule becomes particularly useful....

Formula of Empirical Rule

Empirical Rule Formula is as follows:...

Chebyshev’s Theorem

Chebyshev’s Theorem is a more general rule that applies to any distribution, regardless of whether it is normal or not. It provides a lower bound on proportion of data values that fall within a certain number of standard deviations from mean. It states that,...

Empirical Rule Vs Chebyshev’s Theorem

Empirical Rule and Chebyshev’s Theorem are both statistical concepts used to describe distribution of data, particularly in relation to mean and standard deviation. However, they differ in their specific applications and level of precision they provide in describing spread of data....

Applications of Empirical Rule

Empirical Rule, also known as the 68-95-99.7 Rule, is widely applied in statistical analysis and data interpretation. Its key applications include:...

Examples on Empirical Rule

Example 1: Average height of students in a class is 65 inches with a standard deviation of 3 inches. Using Empirical Rule, estimate the percentage of students whose height falls between 59 inches and 71 inches....

Practice Questions on Empirical Rule

Various practice questions on Empirical Rule are,...

Empirical Rule FAQs

Define of Empirical Rule...