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The world is littered with statistics, and the average person is bombarded with five statistics a day1. Statistics can be misleading and sometimes deliberately distorting. There are three kinds of commonly recognised untruths:
"Lies, damn lies and statistics."
What else can I help you with?
What difference between Statistical Sampling and non statistical sampling?
an approach to sampling that has the characteristics of being randomly selected and the use of probability theory to evaluate sample results. Whereas non-statistical sampling is therefore any sampling approach that does not have both of the characteristicss of statistical sampling. I hope this will help....
When is a pie chart would be most appropriate with statistical tests?
A pie chart is never, ever, appropriate for statistical tests. It can be a useful way of illustrating results but it has no usefulness in testing.
What is the difference between practical generalizability and statistical generalizability?
Statistical: must have random sampling, allows you to generalize to the population from which you randomly selected. Practical: do the results hold for similar individuals? allows you to generalize to similar individuals
What does comparing probability?
A statistical organisation does comparing probability.A statistical organisation does comparing probability.A statistical organisation does comparing probability.A statistical organisation does comparing probability.
What are the steps of statistical investigation?
Defining the problem 2.gathering relevant information 3. presenting/organizing data 4.analyzing data 5. interpreting results
What would be misleading about an experiment with a small number of trials?
There need not be anything misleading about it. If the number of trials are stated clearly there is nothing misleading about it. The results will not be as reliable as they would have been with a larger number of trials but that will always be the case.
How do you use the word misleading in a sentence?
This evidence is very misleading.I think the suspect is misleading us.The advice he was given proved to be very misleading.
When writing the research report the findings of statistical analyzes are typically reported in what section?
Results
What has the author Philip Green written?
Philip Green has written: 'Misleading indicators' -- subject(s): Statistical methods, Economic indicators, Management, Work measurement, Performance
What does statistical evidence mean?
Statistical evidence refers to data or information that has been gathered or analyzed using statistical methods. This evidence provides support for or against a particular hypothesis, theory, or claim through the use of statistical measures and tests to assess the likelihood of the observed results occurring by chance.
What type of test are to compare data from an experiment to determine if results are due to chance?
statistical tests
What types of tests are compared data from an experiment to determine if results are due to chance?
statistical tests
Explain what is meant when we say "data Vary". How does this variability affect the results of statistical analysis?
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What difference between Statistical Sampling and non statistical sampling?
an approach to sampling that has the characteristics of being randomly selected and the use of probability theory to evaluate sample results. Whereas non-statistical sampling is therefore any sampling approach that does not have both of the characteristicss of statistical sampling. I hope this will help....
What is the significance of the lambda value in statistical analysis?
The lambda value in statistical analysis is significant because it helps determine the level of transformation needed to make data more normally distributed, which is important for accurate statistical testing and interpretation of results.
When is a pie chart would be most appropriate with statistical tests?
A pie chart is never, ever, appropriate for statistical tests. It can be a useful way of illustrating results but it has no usefulness in testing.
What is the significance of the iid assumption in statistical analysis and how does it impact the validity of the results?
The iid assumption, which stands for independent and identically distributed, is important in statistical analysis because it ensures that the data points are not influenced by each other and are drawn from the same probability distribution. Violating this assumption can lead to biased results and inaccurate conclusions, affecting the validity of the statistical analysis.
