can be used in computations. e.g. Since we are dealing with a quarter of the original set, this median of the bottom half of the data is called the first quartile, and is denoted by Q 1. A numerical scale on the left side of a chart that shows the range of numbers for data point; also referred to as the y-axis. Whole numbers should line up on the right. 3 Types of Data ! Pie charts are widely used by data-driven marketers for displaying marketing data.. 4. What-if Analysis: The process of changing the values in cells to see how those changes affect the outcome of formulas in a worksheet. 2 pounds is less than 4 pounds " You can take a mathematical âaverageâ of these values, i.e. In statistics, quantitative data is numerical and acquired through counting or measuring and contrasted with qualitative data sets, which describe attributes of objects but do not contain numbers. By Deborah J. Rumsey . Numerical data is data that is measurable, such as time, height, weight, amount, and so on. Tables should be labeled with a number preceding the table title; tables and figures are labeled independently of one another. The Yâaxis shows either frequencies (counts) or relative frequencies (percents) of the data that fall into each â¦ Spreadsheets were developed as computerized analogs of paper accounting worksheets. Usually, there are no gaps between the columns.. The program operates on data entered in cells of a table. Histogram. Something we can `measureâ with a tool or a scale or count. " Y-Axis: Another name for the vertical axis. Because the data are numerical, you divide it into groups without leaving any gaps in between (so the bars are connected). A histogram is a bar graph made for quantitative data. The histogram displays a frequency distribution (shape) of a data set. Each of the following is an example of quantitative data: A data set (or dataset) is a collection of data.In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question. The similarity is that both of them are the two types of quantitative data also called numerical data. strip chart A graph that uses lines and a rectangular box to display the median, quartiles, range and extreme measurements of the data. Age of the actor of each Doctor Who regeneration (1-11) weight Numerical Variable. We can compare these values on a number line. There are a variety of ways that quantitative data arises in statistics. When using numerical data with decimals, make sure that the decimal points line up. Elizabeth has a data set of 4, 2, 5, 4, 1, 2 and 3. (1). Other table elements. Instead, we could have looked at the top half and performed the same steps as above. The Third Quartile . A graphical display of a numerical variable and a categorical variable in which each observation i represented as a dot. Figure 5. ! She wants to find a way to summarize the information. Ø Numerical variables are the measurable or countable variables.. Ø They are better called as quantitative variable because they give the quantitative data.. Ø Example: plant height, fruit weight, crop yield, number of petals, seeds, leaves in a plant etc.. Ø Numerical variables are further categorized into (a) Discrete variables and (b) Continuous variables. The data set lists values for each of the variables, such as height and weight of an object, for each member of the data set. X-Axis: Another name for the horizontal axis. Quantitative " Numerical values representing counts or measures. " A spreadsheet is a computer application for organization, analysis and storage of data in tabular form. 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