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3 important principles in making generalizations about populations on the basis of samples?
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Why are researchers concerned about the representativeness of the samples in their studies?
They hope to generalize the findings of their studies to populations of interest. When a sample is not representative of the generalization of the population it may be inaccurate.
If two samples of matter had completely identical sets of properties what important inference could be made about the two samples?
Nova net answer: They are the same
Where and when to use sampling technique?
Whenever it is impractical to measure the characteristics of interest of each member of the population. For example, the populations of most countries are too large for any of the characteristics of all of the people within them to be measured. For that reason, sampling techniques are applied so that representative samples can be obtained of country populations.
What are the features of descriptive research?
A major feature of descriptive research studies is that - quantitative representation of behavior, opinions, or phenomenon. Representative samples or entire populations so draw conclusions, specify particular characteristics they wish to study in advance of data collection
Why do polls have different outcomes?
Because they are based on samples and outcomes vary between different samples.
Deffirence of discriptive statistics to inferential statistics?
Descriptive statistics is the term given to the analysis of data that helps describe, show, or summarize data in a meaningful way such that patterns might emerge from the data. Inferential statistics are techniques that allow us to use population samples to make generalizations about the populations from which the samples were drawn.
How are populations and samples symbolized?
Any way that you want to.
Definition of independent sample.?
two samples are independent if they are drawn from two different populations, and/ or the samples have no effect on each other. eg: We want to estimate the difference between the mean salaries of all male and all female executives. We draw one sample from the population of male executives and another from the population of female executives. These two samples are independent because they come from different populations and the samples have no effect on each other
What is the definition of dependent sample?
two samples are independent if they are drawn from two different populations, and/ or the samples have no effect on each other. eg: We want to estimate the difference between the mean salaries of all male and all female executives. We draw one sample from the population of male executives and another from the population of female executives. These two samples are independent because they come from different populations and the samples have no effect on each other Rate This Answer
Why are researchers concerned about the representativeness of the samples in their studies?
They hope to generalize the findings of their studies to populations of interest. When a sample is not representative of the generalization of the population it may be inaccurate.
If two samples of matter had completely identical sets of properties what important inference could be made about the two samples?
Nova net answer: They are the same
What has the author Victoria Redwood written?
Victoria Redwood has written: 'From tiny samples do mighty populations grow?' -- subject(s): Economic aspectss, Household surveys, Households
Why is it important to use diverse samples in psychological research?
I don't know you tell me.
What is demograpghy?
It's the study of human populations and characteristics of the people in a given population. It involves answering question like "What are the numbers of people under three years old in the U.S.?" People's ages, ethnic backgrounds, and other such basic information. it's descriptive statistics (as opposed to inferential statistics, which draws conclusions about populations from samples of those populations.
Do i say can i have samples about them or samples of them?
samples of them
Where and when to use sampling technique?
Whenever it is impractical to measure the characteristics of interest of each member of the population. For example, the populations of most countries are too large for any of the characteristics of all of the people within them to be measured. For that reason, sampling techniques are applied so that representative samples can be obtained of country populations.
Why is it important to clean the filter between the samples?
Cleaning the filter between samples is important to avoid contamination and ensure accurate and reliable data. Residual particles from previous samples can lead to cross-contamination and affect the results of the next sample. Regularly cleaning the filter helps maintain the integrity of the analysis and ensures that each sample is tested independently.
