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When can statistics be used to gain information about a population from a sample?
Wiki User
∙ 11y ago
When the sample - whether it is random or systematic - is somehow representative of the population.
Wiki User
∙ 11y ago
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Why are sample used in statistics?
Because a sample is information obtained from the population that will be used in hypothesis testing. WER 1.19.2011 Samples are used to save time and money when the population is large and when the units must be destroyed to gain information.
What is the studying a part in order to gain information about the whole?
Sampling
How important is statistics in medicine?
Incredibly important ! All clinical practice is based on statistics. Would you implement an intervention (ie a new drug) if you had no proof that it worked ! In medical practice we gain knowledge and make decisions based on knowledge gained though research.
Merit and demerit of primary and secondary data?
PRIMARY DATA MERITS 1. it gives valid information 2. you can observe finer nuances as in the case of interview or observation method 3. as in questionnaire, the anonimity of respondent is preserved DEMERITS 1. it can be difficult to gain access to the sample 2. the sample may behave unnaturally in the presence of the interviewer 3. personal bias may affect the outcome 4. it can be time consuming SECONDARY DATA MERITS 1. a variety of information 2. variety of opinions 3. in depth information 4. time saving DEMERITS 1. the data may be inaccurate 2. the data may be outdated 3. personal bias of researcher may affect the result 4. the information may not always be relevant
Why tourism has to be measured and the importance of tourism statistics?
In the economies of some countries tourism is a principal source of foreign exchange. To avoid losses of this source it is important to gather statistics for study. In other countries it may be suspected that tourism could be beneficial to the economy. Here, statistics can be gathered as the basis for making projections. In some tourist destinations, notably Paris, it has been observed that although many people visit, little of their money is spent there. Statistics could be gathered in order to attempt to learn how to gain more benefit from these visits.
What is inferential statisics?
inferential statistics allows us to gain info about a population based on a sample
Do you gain or loose information when you use statistics to reduce a population to a few characteristic numbers?
Lose information.
Do you gain or lose information when you use statistics to reduce a population to a few characteristic number?
You lose information.
Why are sample used in statistics?
Because a sample is information obtained from the population that will be used in hypothesis testing. WER 1.19.2011 Samples are used to save time and money when the population is large and when the units must be destroyed to gain information.
Do you lose or gain information when you use statistics to reduce a population to a few characteristic numbers?
you lose information!becoz you can nearly exact the data based on the charateristic numbers
What is the difference between sample and example?
Definition of example is one (as an item or incident) that is representative of all of a group or type.Similarly, a definition of sample is1) a representative part or a single item from a larger whole or group especially when presented for inspection or shown as evidence of quality.Another definition of sample is2) a finite part of a statistical population whose properties are studied to gain information about the whole.The difference being that an example is typically one item and a sample is one or more items.
What is Hy-Gain's population?
Hy-Gain's population is 75.
What is the population of Gain Capital?
Gain Capital's population is 380.
How do you do inferential statistics?
Inferential statistics is the practice of sampling large sets of data (usually at random) to gain information about the population as a whole. Sampling is used because measuring everything in the population can consume too many resources (time, money, etc.) I suggest looking at these topics for an intro into inferential statistics: 1) Sampling (random, stratified, etc) 2) Mean, variance/standard deviation, median, and mode 3) Data distributions 4) Confidence intervals 5) T-tests 6) Analysis of variance 7) Trend analysis (regression) 8) Association analysis ... and many more!
What information about earthquakes can scientists gain from seismic graphs?
They gain information about even the slightest vibration from earth.
Where can one find more information about how to gain weight?
Information on how to gain weight can be obtained from a physician or a nutritionist. These professionals will have information on how to gain weight in a healthy way, including which foods can be eaten to achieve this goal.
How often do you gain or exchange information via your computer?
I believe that we gain and exchange information every day even when we do not realize that we are.
