Discrete data is information that can only take certain values. … This type of data is often represented using tally charts, bar charts or pie charts. Continuous data is data that
can take any value
. Height, weight, temperature and length are all examples of continuous data.
How do you know if data is discrete or continuous?
Discrete data
is a numerical type of data that includes whole, concrete numbers with specific and fixed data values determined by counting. Continuous data includes complex numbers and varying data values that are measured over a specific time interval.
What is difference between continuous and discrete?
A discrete distribution is one in which the data can only take on certain values, for example integers. A continuous distribution is one in which data can take on
any value
within a specified range (which may be infinite).
What is the main difference between discrete and continuous data?
Discrete data is
countable
while continuous data is measurable. Discrete data contains distinct or separate values. On the other hand, continuous data includes any value within range. Discrete data is graphically represented by bar graph whereas a histogram is used to represent continuous data graphically.
What are examples of discrete data?
Examples of discrete data include
the number of people in a class, test questions answered correctly, and home runs hit
. Tables, or information displayed in columns and rows, and graphs, or structured diagrams that display the relationship among variables using two axes, are two ways to display discrete data.
What is discrete series example?
Discrete series means
where frequencies of a variable are given but the variable is without class intervals
. Here the mean can be found by Three Methods. … Here each frequency is multiplied by the variable, taking the total and dividing total by total number of frequencies, we get X.
What is an example of continuous data?
Continuous data is data that can take any value.
Height, weight, temperature and length
are all examples of continuous data. Some continuous data will change over time; the weight of a baby in its first year or the temperature in a room throughout the day.
Is age continuous or discrete?
Age is measured in units that, if precise enough, could be any number. Therefore the set they
come from is infinite
. For example, someone could be 22.32698457 years old or 22.32698459 years old. We could be infinitly accurate and use an infinite number of decimal places, therefore making age continuous.
Is Money discrete or continuous?
A continuous distribution should have an infinite number of values between $0.00 and $0.01. Money does not have this property – there is always an indivisible unit of smallest currency. And as such,
money is a discrete quantity
.
Is hours of sleep discrete or continuous?
| Score (X) Frequency (f) | etc. etc. |
|---|
What are the similarities and differences between discrete and continuous data?
| Basis for Comparison Discrete Variable Continuous Variable | Range of specified number Complete Incomplete | Values Values are obtained by counting. Values are obtained by measuring. | Classification Non-overlapping Overlapping | Assumes Distinct or separate values. Any value between the two values. |
|---|
Is blood pressure discrete or continuous?
2)
Continuous Variables
: These are sometimes called quantitative or measurement variables; they can take on any value within a range of plausible values. For example, total serum cholesterol level, height, weight and systolic blood pressure are examples of continuous variables.
How do you show discrete data?
Discrete data is best represented using
bar charts
. Temperature graphs would usually be line graphs because the data is continuous . When you are graphing percentages of a distribution a pie chart would be suitable.
What is an example of quantitative discrete data?
A quantitative variable can be either continuous or discrete. … Examples of discrete quantitative variables are
number of needle punctures, number of pregnancies and number of hospitalizations
. For these examples, positive whole numbers are the only possible values (i.e., it is not possible to have 1.5 pregnancies).
What is discrete data used for?
| Discrete Data Continuous Data | We can count the values in a discrete data series. We cannot count but measure the values in a continuous data series. | Whole numbers are used to write discrete data values. Real numbers are used to used to write continuous data values. |
|---|
What is discrete series formula?
N = Number of observations. 2) Discrete Series: The formula of mean deviation from mean for a discrete series is:
M.D = ∑f|X−ˉX|∑f
.
