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Q: Can a random error in collected data be corrected?
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How is data collected in statistics?

data can be collected many different ways, but a survey can be cunducted in a few different ways some of them are: simple random, stratified, block samples stratified simple random


Data collected from a random group has no value in predicting actual results?

False


What always affects measurement error in a experiment?

Factors such as instrument precision, human error, environmental conditions, and random variations in the system can all contribute to measurement error in an experiment. It is important to account for these factors and take measures to minimize their impact in order to ensure the accuracy and reliability of the data collected.


When describing the data that you have collected what aspects should researchers always included?

Possible error


What is the formula to calculate maximum random errors?

Maximum Random Error is often calculated by subtracting the average from the data point farthest from the average.


What are the data to be collected?

Any kind of data can be collected.


The data collected does not have to be measurable.?

The data collected does not have to be measurable.


How can data be collected if independent samples are to be obtained?

Data can be collected for independent samples by randomly selecting individual units or cases from the population of interest. This can be done using random sampling techniques such as simple random sampling, stratified sampling, or cluster sampling. By ensuring that each sample is selected independently of the others, we can maintain the assumption of independence among the samples in the data analysis.


Are data that was collected for another purpose and was already collected?

Data that is collected may have been collected previously for some reason, or it might have been collected recently. Data is usually collected to show statistics or information about something specific.


How can errors be corrected in experiments?

Errors in experiments can be corrected by identifying the source of the error, such as equipment malfunction or human error, and then implementing corrective actions. This can involve recalibrating equipment, double-checking procedures, or repeating the experiment to confirm results. It's important to document any errors and their corrections to ensure the reliability of the experimental data.


What is meant by polarity of random error?

The polarity of a random error refers to whether the error is positive or negative relative to the true value. In statistical analysis, random errors can be equally likely to be positive or negative, and their effect should cancel out when many measurements are averaged. Monitoring polarity can help identify biases or systematic errors in data collection or measurement processes.


What will you do with your data when it is collected?

The collected data is organized in a fashion so you can determine if the hypothesis is supported.