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Q: If there are 15 leaves on a stem-and-leaf plot how many values are in the data set?

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There are 15 values.

It can be data over any single interval in the set of real numbers.

It is halfway along the distribution of set values. There are as many members of the set with values smaller than the median as there are with values bigger than it.

The Empirical Rule states that 68% of the data falls within 1 standard deviation from the mean. Since 1000 data values are given, take .68*1000 and you have 680 values are within 1 standard deviation from the mean.

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.

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There are 15 values.

It can be called values or raw data, and it is also what becomes the cell contents. It can be many forms of data such as text, numbers, dates, times and logicial data, like TRUE and FALSE.It can be called values or raw data, and it is also what becomes the cell contents. It can be many forms of data such as text, numbers, dates, times and logicial data, like TRUE and FALSE.It can be called values or raw data, and it is also what becomes the cell contents. It can be many forms of data such as text, numbers, dates, times and logicial data, like TRUE and FALSE.It can be called values or raw data, and it is also what becomes the cell contents. It can be many forms of data such as text, numbers, dates, times and logicial data, like TRUE and FALSE.It can be called values or raw data, and it is also what becomes the cell contents. It can be many forms of data such as text, numbers, dates, times and logicial data, like TRUE and FALSE.It can be called values or raw data, and it is also what becomes the cell contents. It can be many forms of data such as text, numbers, dates, times and logicial data, like TRUE and FALSE.It can be called values or raw data, and it is also what becomes the cell contents. It can be many forms of data such as text, numbers, dates, times and logicial data, like TRUE and FALSE.It can be called values or raw data, and it is also what becomes the cell contents. It can be many forms of data such as text, numbers, dates, times and logicial data, like TRUE and FALSE.It can be called values or raw data, and it is also what becomes the cell contents. It can be many forms of data such as text, numbers, dates, times and logicial data, like TRUE and FALSE.It can be called values or raw data, and it is also what becomes the cell contents. It can be many forms of data such as text, numbers, dates, times and logicial data, like TRUE and FALSE.It can be called values or raw data, and it is also what becomes the cell contents. It can be many forms of data such as text, numbers, dates, times and logicial data, like TRUE and FALSE.

Analog computer

It can be data over any single interval in the set of real numbers.

It is halfway along the distribution of set values. There are as many members of the set with values smaller than the median as there are with values bigger than it.

It is a positively skewed distribution.

The Empirical Rule states that 68% of the data falls within 1 standard deviation from the mean. Since 1000 data values are given, take .68*1000 and you have 680 values are within 1 standard deviation from the mean.

A relational data base usually consists of many relations (table of values in which each row represent collection of related data values). A row in the table is called tuple. A column header is called an attribute. Data is recorded in relations and retrieved according to the needs of the users using query language like SQL.

A pie chart can only have one data series in it. They show how the components make up one unit. The series can have many values in it, but it can only be one series.

Yes. Many books have sn data. Blue book of gun values is one.

In many cases, histograms help interpretations. But you can probably think of cases where this is not true. Perhaps you have too few values. Perhaps your data has many flaws or errors in it. Sometimes, people will select the data that they want think supports their idea, and make histograms using only this data. See related link on histogram.

Discrete - Each recorded data has a particular whole value e.g. Number of pencils in pencil cases, Number of correct answers in a test Continuous - The recorded data can have any value in a given range e.g. Height of students, Time taken to run 100m