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What is statistical data?
Statistical data are numbers that are based on a sampling of a population to predict an outcome. The accuracy depends on the sample number and error and confidence and other analysis.
What is the importance of combining different data collection techniques?
The importance of combining different data collection techniques balances the strengths and weaknesses of each other. It helps reduce non-sampling error and ensures improvement in data evaluation.
Why is it important to have two sets of temperature data?
If both sets are in agreement, it is a good indication each is accurate. If, on the other hand, there is great disparity between the two sets, we may conclude there is some significant error in our data gathering or sampling technique. The NASA GISS data (see link) include both a land/sea temperature index and temperature measurements from meteorological stations.
What is the branch of math concerned with collection interpretation of data?
STATISTICS
Why does sampling error occur?
The list is very long! In sampling error, I include all aspects of data collection. Samples (and not the full population) are taken in observational and experimental studies. The sample size may be a problem. In some cases, it may impossible to correct. If I am studying some rare occurrence, say hurricanes with winds over 280 mph or incidences of mad cow disease, the number of observations is fixed. Other times, there is inadequate time or budget to sample adequately. Sampling error can occur because of the way a sample is taken. This is very true of marketing surveys, which may be taken at time when they are more likely to survey one segment of the population. Or they are taken in one location that is not representative of the general population. A voluntary survey, or convenience survey may also be biased. The manner in which questions are posed, can introduce bias. Inadequate quality checking also contributes to sampling error. This is true whether the data collection is done by humans, or instruments, such as a testing laboratory. If a particular instrument is improperly calibrated, all measurements can be questionable. Finally, there are many means of purposely introducing bias into collected data in order to show "factual evidence" of preconceived ideas. The time frame or location where data is to be collected may be done to build in a particular bias. You will probably find more examples by searching the internet.
What is sampling error?
Sampling errors are errors in the data collected during the carrying out of quantitative data surveys. They can occur for various reasons, e.g. surveys that were incorrectly filled out. It is generally said that a survey needs to have a margin of error of under 3% to be statistically significant.
What is the standard error of the sampling distribution equal to when you do not know the population standard deviation?
You calculate the standard error using the data.
How can be reduced a sampling error and non sampling error?
ome suggested ways: Larger samples, Better sample design, Better measurement, Better data validation, Better survey/questionnaire design.
Is defined as systematic error in the collection or interpretation of epidemiologic data?
bias
What are some of the sources of error in your analysis?
Some sources of error in analysis can include data collection inaccuracies, incomplete data, biased sampling methods, human error in data entry or analysis, and assumptions made during the analytical process.
Data collection and sampling?
What is the question. Sampling is data collection
What is statistical data?
Statistical data are numbers that are based on a sampling of a population to predict an outcome. The accuracy depends on the sample number and error and confidence and other analysis.
Do all sociological studies on issues such as health conditions report the same outcomes?
No, because sometimes a sociolgist's personel background will affect the interpretation of the data.
What are the main sources of inaccuracy in obtaining the result?
The main sources of inaccuracy in obtaining results include measurement error, sampling bias, human error in data collection or analysis, and external factors that can influence the outcome. These factors can lead to inaccuracies in the results and affect the overall validity and reliability of the findings.
How can one avoid sampling error?
To avoid sampling error, you should ensure that your sample is representative of the population, use random sampling techniques, increase the sample size when possible, and use stratified sampling if your population can be divided into subgroups. Additionally, verify the reliability of your data collection methods to minimize errors.
When is census necessary instead of sampling?
census is conducted for group data so if it is a sampling data is taken it would lead to lot of non sampling errors
What is a statistic value?
1. (used with a sing. verb) The mathematics of the collection, organization, and interpretation of numerical data, especially the analysis of population characteristics by inference from sampling.2. (used with a pl. verb) Numerical data.
