The means of repeated samples from any population.
observation
a line graph
It is a HISTOGRAM.
Histogram
memo
Cache memory normally stored instructions and data that the processor likely to use frequently.
A distributed data warehouse is a type of data warehouse architecture where data is distributed across multiple servers or nodes in a network. This allows for improved scalability, performance, and fault tolerance compared to a centralized data warehouse. Distributed data warehouses can handle large volumes of data more efficiently by spreading the workload across multiple nodes.
The appropriate measure of average that must be used depends on the type of data being analyzed and the research question being asked. For example, if the data is numerical and normally distributed, the mean is often used as the measure of average. If the data includes outliers or is not normally distributed, the median may be a more appropriate measure of average. Similarly, if the data is categorical or ordinal, the mode may be the appropriate measure of average.
Blue-ray disc
A data type consisting of more than one letter, like a word or a sentence. A single letter is normally known as a character data type. Normally strings are enclosed in double quotation marks and single letters are enclosed in single quotations marks: 'a' "animal"
evolutionary biologist
Offsite data is sending data to a critical main location. Data is normally transported using storage media such as magnetic tips and optical storage. Many companies choose to store data with third parties.
evolutionary biologist
Mid- tier server
Normally, the CommandParameter is used to pass specific information to the command when it is executed. The type of the data is defined by the command.
Many statistics are based on the assumption that various underlying data or functions of data are normally distributed. For example, the t and F tests are based on this type of assumption; but there are many others. In practice, many data that may be observed follow approximate normal distributions because they are, in effect, sums of random variables and the central limit theorem comes into play. In other practical situations, functions of the data are known to follow the normal distribution in most cases. For example, in many cases taking the logarithm or the arcsin of data values will yield (approximately) normally distributed values. Beyond this, it is well known that many statistical procedures perform well even when the underlying distribution is not normal. They are said to be 'robust' and can be safely applied provided that certain conditions are met.
Data mining is a computer science which extract patterns in data sets. It can be used to predict which people are most likely to respond to a sales offer or what type of garment is preferred by a certain type of customer.