Discrete data is a type of measurement data
Posted: Tue Feb 18, 2025 10:17 am
For example, data on consumer satisfaction with a product could be very satisfied, satisfied, average, dissatisfied, or very dissatisfied. Measurement data Measurement data is a type of data that can take any value within a specified range. For example, data about a consumer's height can be 170 cm, 165 cm, 175 cm, etc.
Measurement data can be divided into two sub-types: Discrete data: that can only take on a finite number of values. For example, data about the number of children in a family can be 0, 1, 2, 3, 4, or 5.
Continuous data: Continuous data is a type poland whatsapp number data of measurement data that can take any value within a specified range. For example, temperature data can be 25 degrees Celsius, 25.1 degrees Celsius, 25.2 degrees Celsius, etc. Hypothesis testing Hypothesis testing is a statistical method used to evaluate the validity of a hypothesis based on collected data.
The hypothesis is formulated based on an initial assumption or belief, and is then tested by comparing the collected data with the expected outcome. The basic steps of hypothesis testing include: Identify the null hypothesis: The null hypothesis is the hypothesis that there is no difference or relationship between the variables being studied.
Measurement data can be divided into two sub-types: Discrete data: that can only take on a finite number of values. For example, data about the number of children in a family can be 0, 1, 2, 3, 4, or 5.
Continuous data: Continuous data is a type poland whatsapp number data of measurement data that can take any value within a specified range. For example, temperature data can be 25 degrees Celsius, 25.1 degrees Celsius, 25.2 degrees Celsius, etc. Hypothesis testing Hypothesis testing is a statistical method used to evaluate the validity of a hypothesis based on collected data.
The hypothesis is formulated based on an initial assumption or belief, and is then tested by comparing the collected data with the expected outcome. The basic steps of hypothesis testing include: Identify the null hypothesis: The null hypothesis is the hypothesis that there is no difference or relationship between the variables being studied.