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Sample data can be used to learn about a population by providing insights into its characteristics through statistical analysis. By selecting a representative subset of the population, researchers can estimate population parameters, such as means or proportions, and test hypotheses. This approach allows for generalizations about the entire population while saving time and resources compared to studying every individual. Proper sampling techniques and sufficient sample size are crucial to ensure the reliability and validity of the conclusions drawn.

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How can you tell if the population data is related to the sample data?

There are Goodness-of-Fit tests that can be used. The choice of test will depend on what is known about the population and sample data.


What are the sources of data used in management accounting?

. Primary and Secondary data . Discrete and Continuous Data . Sample and Population Data


Difference between calculating the sample mean and the population mean?

The same basic formula is used to calculate the sample or population mean. The sample mean is x bar and the population mean is mu. Add all the values in the sample or population and divide by the number of data values.


What term refers to the descriptors of variables computed from sample data used to estimate those same variables in the population?

Sample Statistics


In basic statistics what is sample size and effective sample size?

sample size refers to the collection of data by only a selected size of te population through the process of sample surveys and sampling methods used in collecting data.


What is sample and population relationship?

The sample is a subset of the population. For example, the population may be all the people at your school. A sample might be 5 people from each class. There are different types of sampling methods. The most commonly used is a simple random sample. When your obtain data from the entire population this is called a census.


What type of statistics employ the use of sample data that is used to infer information about the population?

Inferential statistics.


Why inferential statistics is not required in census?

Inferential statistics is not required in a census because a census aims to collect data from every individual in a population, leaving no room for sampling error or uncertainty. The goal of a census is to provide an accurate count or measurement of a specific characteristic within a population, making the need for statistical inference unnecessary. In contrast, inferential statistics is used when data is collected from a sample of a population, and the goal is to make predictions or inferences about the larger population based on that sample.


What is the variable that provides the basis for estimator?

The variable that provides the basis for an estimator is typically the sample data collected from a population. This data is used to calculate the estimator, which is a statistical function that aims to estimate a population parameter, such as the mean or variance. The quality and relevance of the sample data directly influence the accuracy and reliability of the estimator. In essence, the sample serves as the foundation upon which estimations about the broader population are built.


What is a subset of measurements from a population?

A subset of measurements from a population is a smaller group of data points selected from the entire group of data points in the population. This subset is chosen to represent the overall characteristics of the larger population and is used for analysis or inference about the population as a whole.


How do you compute the point estimate of a population mean?

To compute the point estimate of a population mean, you take the sample mean. This is done by calculating the average of the data values in the sample. The sample mean is then used as an estimate of the population mean.


What are the similarities btn census and sample survey?

Both census and sample survey are methods used to collect data from a population. However, while a census attempts to gather information from every individual in the population, a sample survey collects data from a subset of the population. Both methods aim to provide insights and statistics about the population under study.