Advantages: Empirical methods mean those which use experimentation to determine or estimate actual values, be it frequencies ("how many") or relative proportions. This is good because these experiments are observable, able to be confirmed, and easily replicated.
Disadvantages: Too often, short run experiments (too few number of trials) result in invalid conclusions. E.g. if you flip a coin 5 times and get 4 heads, you might think you'll get heads 80% of the time, but in reality if you flipped the coin millions of times, you'd get closer to 50% (depending on how the coin is weighted).
The principles of technical analysis come from hundreds of years of financial markets data. Analysts examine earnings, dividends, new products, and research to determine what the stock will do.
Sampling bias is a known or unknown selection of data to be examined in an audit. There should be no bias if the sample is random. Ex ... look at the first item in the file folder. or examine all files for purchases over $10,000, or examine no files for sales less than $500. Sampling error, is the incorrect selection of files for an audit. Ex ... a random number generator tells you to audit file 1547, but you select 1457. Sampling error is also used to describe the fact that auditing a sample will NOT create the exact same answer as auditing every single file or transaction.
Correlation method is to examine relationships between variables.Ex: Findings show that a correlation, between optimism and better psychological adjustment among cancer patients.Ex2: Smoking during pregnancy is correlated, unfortunately, with increased risk of sudden infant death syndrome (SIDS) in babies.
Bar graphs are a good way of looking at different kinds of information. They can be a little bit ineffective, though, if you're trying to examine growth over time or things in parts. Pie graphs or line charts can be more effective in those ways.
I can examine this as a question of theory or real life: As a matter of theory, I will rephrase your question as follows: Does theoretical confidence interval of the mean (CI) of a sample, size n become larger as n is reduced? The answer is true. This is established from the sampling distribution of the mean. The sampling distribution is the probability distribution of the mean of a sample, size n. I will also consider the question as a matter of real life: If I take a sample from a population, size 50 and calculate the CI and take a smaller sample, say size 10, will I calculate a larger CI? If I use the standard deviation calculated from the sample, this is not necessarily true. The CI should be larger but I can't say in every case it will belarger. The standard deviation of the sample will vary from sample to sample. I hope this answers your question. You can find more information on confidence intervals at: http://onlinestatbook.com/chapter8/mean.html
Cognitive neuroscientists examine the brain with what
You will find the answer to that here:How%20many%20Soul%20Train%20Theme%20songs%20have%20been%20doneWhat are Quality Circles? Examine the process involved in Quality Circles and evaluate the advantages and disadvantages of Quality Circles.
An empirical question is a question that can be answered through observation, measurement, and evidence. It deals with objective facts or phenomena that can be tested or studied using scientific methods. Examples of empirical questions include "What is the effect of exercise on heart rate?" or "Does smoking lead to an increased risk of lung cancer?"
Advantages:Best design to establish causalitypower to detect effectsDisadvantagesInternal Validity issues - confoundsCannot examine some important social problems experimentallyExternal Validity issuesConstruct Validity issues - We do not know which part of the operational or conceptual IV had an effect on which part of the operational/conceptual DV
Examination of collected data is important because, if you examine it you could check if something's wrong or another test or collection and compare the data you have to the test or collection you just did.
Sociology uses scientific methods, such as data collection and analysis, to examine social phenomena and challenge common sense assumptions or traditions with empirical evidence. By doing so, sociology can provide more accurate and nuanced explanations of social issues, helping to refine and improve common sense understandings of the world we live in.
Sociological studies use empirical research methods to gather and analyze data from observations and experiences in the real world. This approach allows researchers to examine social phenomena systematically and draw conclusions based on evidence rather than opinion or speculation. Empirical research in sociology helps build a foundation of knowledge that is grounded in data and can be used to address social issues and inform public policy.
Search for theories that back up the results from the research. Confirm that the research was as accurate as humanly possible through elimination of all possible sources of error and unwanted variables.
Advantage: stabilityDisadvantage: cost, and inflexibility (must rely on one vendor for improvements and fixes)A:Limited, but quality support - patches and upgrades are usually released on a infrequent schedule due to the limited number of programmers involved. This is as opposed to an open OS where the code is accessible to everyone and can examine and recommened improvements upon the code.
The forensics team will examine the crime scene.The doctor needs to examine you.He likes to examine nature.
We will carefully examine the evidence.He used a magnifying glass to examine the small writing.
The Greek word for examine is skopeo which means to look at inspect or examine