Statistics provides a good overview of the various terms and methods commonly used for statistical analysis. In modern manufacturing, statistics are used as part of continuous improvement methods to analyze the data gathered during inspections to determine the quality of a product and examine the processes used to make it.
Every person in a manufacturing environment should have an awareness of what statistical terminology and be able to use statistical concepts in the workplace. After taking this class, a user will be able to calculate the mean, median, and mode for a set of data. The user will also be able to explain the difference between natural and unnatural variation, the use histograms and bell curves, and the meaning of standard deviation.
Number of Lessons 19
- Natural vs. Unnatural Variation
- Uses for Statistics
- Probability and Sampling
- Random Sampling
- Elements of Statistics Review
- Types of Mean
- Median and Mode
- Mean, Median, and Mode Review
- The Histogram
- The Bell-Shaped Curve
- Types of Bell-Shaped Curves
- Standard Deviation
- Standard Deviation and the Bell-Shaped Curve
- Standard Deviation and Probability
- Bell-Shaped Curves and Standard Deviation Review
- Define statistics.
- Define variation.
- Differentiate between natural and unnatural variation.
- Describe how statistics relate to variation.
- Describe probability and its relationship to sample size.
- Define random sampling.
- Explain how to find the mean of a set of values.
- Distinguish between the two types of mean.
- Define median and mode.
- Describe a histogram and its uses.
- Explain the bell-shaped curve.
- Describe the types of bell-shaped curves.
- Define range.
- Define standard deviation.
- Describe the relationship between standard deviation and the bell-shaped curve.
- Describe the relationship between standard deviation and probability.
Also known as the mean. The approximate value of each number in a set of numbers. The average is found by dividing the sum of a set of numbers by the number of members in the group.
A common type of histogram characterized by a high center, tapered sides, and bell-flared edges. A bell-shaped curve reflects conditions that exhibit natural variation.
A collection of numbers or facts that is used as a basis for making conclusions. Data is collected by manufacturers about their facilities.
A math expression with two numbers placed above and below a division line. A fraction indicates the number of divisions or portions and the size of each division or portion.
A common type of histogram characterized by a high center, tapered sides, and bell-flared edges. Gaussian distribution is another name for a bell-shaped curve.
A visual graph that shows the frequency of a range of variables. Histograms are typically used to measure distribution patterns.
The portion of a histogram that lists the range of variables. The horizontal scale runs across the bottom of the histogram and is usually read from left to right.
Also known as the average. The approximate value of each number in a set of numbers. The average is found by dividing the sum of a set of numbers by the number of members in the group.
The value of a numerical set that equally divides the number of values that are larger and smaller. For example, in a set containing nine numbers, the median would be the fifth number.
The value within a numerical set that appears with the greatest frequency. The mode is the number that repeats the most within a set.
Variation resulting from random, normal differences that are expected and inevitable. Slight differences in raw materials are one cause of natural variation.
normal distribution curve
A common type of histogram characterized by a high center, tapered sides, and bell-flared edges. Normal distribution curve is another name for a bell-shaped curve.
An amount expressing what portion of a whole is present. Percentages are similar to fractions or decimals expressed in hundredths.
The mean of a numerical set that includes all the numbers within the entire group. The population mean is helpful in making informed decisions based on an entire group.
A forecast of coming events. Predictions allow manufacturers to make informed decisions about their facilities, parts, purchasing and other various areas.
The likelihood that a particular event will happen in the future. Probability can be expressed as a fraction, ratio, or percentage.
The series of activities that leads to a desired result. There are many processes in manufacturing, and they often lead to production of a part.
The process of collecting and analyzing only a small representative portion of a larger group. Random sampling dictates that each item must have the same likelihood of being selected.
The difference between the smallest and the largest values within a numerical set. Range shows the amount of variation in a set.
A numerical expression representing a part of a larger whole or proportion. A ratio consists of two numbers separated by a colon.
A representative part from a larger group. A larger sample increases accuracy.
A mean of a numerical set that includes an average of only a portion of the numbers within a group. A sample mean is an approximation of the actual mean.
Any material not used to create the final part. During most machining operations, scrap appears in the form of chips.
A number representing the degree of variation within a numerical set. Calculating the standard deviation of a numerical set shows the average amount of deviation.
The science of collecting, summarizing, and analyzing numerical information, which is often used to make good decisions with confidence in an otherwise uncertain environment.
An unwanted but acceptable deviation from a given dimension. Checking for accurate part tolerance is done after a successful first part run.
Variation resulting from one or more sources that involve a fundamental change in a process. Unnatural variation is undesirable.
Any difference that exists between two or more related things.
Any difference that exists between two or more related things. Variation is an unavoidable occurrence.
The portion of a histogram that indicates the frequency of each variable. The vertical scale runs along the side of a histogram from bottom to top.