Hypothesis Testing

Hypothesis testing refers to the process of using statistical analysis to determine if the observed differences between two or more samples are due to random chance (as stated in the null hypothesis) or to true differences in the samples (as stated in the alternate hypothesis). A null hypothesis (H0) is a stated assumption that there is no difference in parameters (mean, variance, DPMO) for two or more populations. The alternate hypothesis (Ha) is a statement that the observed difference or relationship between two populations is real and not the result of chance or an error in sampling. Hypothesis testing is the process of using a variety of statistical tools to analyze data and, ultimately, to accept or reject the null hypothesis. From a practical point of view, finding statistical evidence that the null hypothesis is false allows you to reject the null hypothesis and accept the alternate hypothesis.

Hypergeometric distribution

A distribution that has a similar use to that of the binomial distribution; howerver, the sample size is "large" relative to the population size.

House of Quality

The House of Quality is the first matrix in a four-phase QFD (Quality Function Deployment) process. It's called the House of Quality because of the correlation matrix that is roof shaped and sits on top of the main body of the matrix. The correlation matrix evaluates how the defined product specifications optimize or sub-optimize each other.

Horizontalization

The philosophy of turning companies with traditional silo management systems into ones that are Process orientated.

Homegeneous poisson process(HPP)

A model that considers that failure rate does not change with time.

Homegeneity of variance

Homogeneity of variance is a test used to determine if the variances of two or more samples are different. See the tool Homogeneity of Variance.

Ho

An abbreviation for the null-hypothesis.
Null Hypothesis(Ho): the hypothesis to be tested
-- If a null hypothesis adopt, it means that it can't prove others.
-- It assumes that it is always same.

Histogram

A bar graph of a frequency distribution in which the widths of the bars are proportional to the classes into which the variable has been divided and the heights of the bars are proportional to the class frequencies.

A histogram is a basic graphing tool that displays the relative frequency or occurrence of continuous data values showing which values occur most and least frequently. A histogram illustrates the shape, centering, and spread of data distribution and indicates whether there are any outliers.

A graphic way to summarize data. Size is shown on the horizontal axis (in cells) and the frequency of each size is shown on the vertical axis as a bar graph. The length of the bars is proportional to the relative frequencies of the data falling into each cell and the width is the range of the cell. Data is variable measurements from a process.

Hard Savings

Six Sigma project benefits that allow you to do the same amount of business with less employees (cost savings) or handle more business without adding people (cost avoidance). These are referred to as hard savings.

Ha

An abbreviation for an alternative hyothesis.