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How is data collected in statistics?
data can be collected many different ways, but a survey can be cunducted in a few different ways some of them are: simple random, stratified, block samples stratified simple random
Advantage of sampling?
The advantage of sampling in results is that it greatly simplifies results. If the sample is appropriately random, the results of the sampling will accurately represent the whole.
How do you overcome random error and systematic error?
Random error can be inherent to the system being studied or to the instruments being used to measure characteristics of the system. Sometimes it is possible to find or create measuring instruments that produce results with less random error; sometimes not. Statistical methods can often be employed to estimate actual values shorn of random error. If it not too expensive to obtain individual measurements then it's advisable to gather more measurements so that the statistical methods will produce better results. Systematic errors are often reduced by looking for their sources and eliminating them or by estimating the levels of distortion caused by each of them and correcting measurements accordingly.
What is meant by discrete random variable?
A discrete random variable is a variable that can only take some selected values. The values that it can take may be infinite in number (eg the counting numbers), but unlike a continuous random variable, it cannot take any value in between valid results.
Is the best description of a stratified random sample?
Stratified random sampling is a form of probability sampling that provides a methodology for dividing a population into smaller subgroups as a means of ensuring greater accuracy of your high-level survey results. The smaller subgroups are called strata. Stratified random sampling is also called proportional or quota random sampling.
What are punnets squares better predicting the results of?
Genotypes on random mating of gametes
When dividing a population into subgroups so that a random sample from each subgroup can be collected?
simple random sampling
How is data collected in statistics?
data can be collected many different ways, but a survey can be cunducted in a few different ways some of them are: simple random, stratified, block samples stratified simple random
What is a Random sample poll?
A random sample is a sample that is collected without any specific characteristics in mind. For instance, instead of collecting a sample of women or members of a particular age group, they are collected randomly off the streets.
Why is it important to make sure you random sample is random?
It is important to make sure your random sample is random in order to make sure the results are accurate, and to prevent experimenter bias.
What statistical tests can I use on data collected from quota samples?
You can use statistical tests appropriate for categorical data, such as chi-square tests or Fisher's exact test for associations between variables. For continuous data, you can use t-tests or non-parametric tests like Mann-Whitney U test or Kruskal-Wallis test. It's important to consider the limitations of quota sampling in interpreting the results.
Advantage of sampling?
The advantage of sampling in results is that it greatly simplifies results. If the sample is appropriately random, the results of the sampling will accurately represent the whole.
Which of the following is not a way to influence poll results?
using a random sample
What is objectivity in statistics?
the use of random sampling that results in an unbiased conclusion.
How do you overcome random error and systematic error?
Random error can be inherent to the system being studied or to the instruments being used to measure characteristics of the system. Sometimes it is possible to find or create measuring instruments that produce results with less random error; sometimes not. Statistical methods can often be employed to estimate actual values shorn of random error. If it not too expensive to obtain individual measurements then it's advisable to gather more measurements so that the statistical methods will produce better results. Systematic errors are often reduced by looking for their sources and eliminating them or by estimating the levels of distortion caused by each of them and correcting measurements accordingly.
Why is replication important in experimental?
Observed results are less likely to be affected by random chance.
Why is replication in experimental design?
Observed results are less likely to be affected by random chance.
