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∙ 11y agoThey 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.
Nova net answer: They are the same
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.
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
Because they are based on samples and outcomes vary between different samples.
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.
Any way that you want to.
Independent samples are a set of observations or data points that are not influenced by or related to each other. Each sample is collected without affecting or being affected by the other samples, allowing for statistical analysis to make conclusions about a broader population. This lack of relationship between the samples is important for ensuring the validity of statistical tests and analyses.
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
Correctly constructing the DNA model of different samples is important because it provides valuable information about genetic variations, hereditary traits, and potential health risks. It helps in understanding the composition of DNA, identifying mutations, and developing personalized treatments or interventions based on the individual's genetic makeup. Accurate DNA models are crucial for research, diagnosis, and developing targeted therapies in fields like genomics and personalized medicine.
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.
Nova net answer: They are the same
Victoria Redwood has written: 'From tiny samples do mighty populations grow?' -- subject(s): Economic aspectss, Household surveys, Households
I don't know you tell me.
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.
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.
samples of them