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Yes, predictions can be made from a selected sample, provided that the sample is representative of the larger population. By analyzing data from the sample, statistical methods can be employed to estimate trends, behaviors, or outcomes for the entire population. However, the accuracy of these predictions depends on the sample size and selection methods used, as biases can lead to incorrect conclusions. Proper sampling techniques and analysis are crucial for reliable predictions.
What else can I help you with?
What is a sample that is taken without bias?
A randomly selected sample.
When you draw a sample from a normal distribution what can you conclude about the sample distribution?
The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.
What does replacement mean in probability?
When the sample is drawn, it is placed back where it was taken from and if subsequent draws are made, it could be selected again.
Randomly selected portion of the population?
sample
Which type of sample is selected to reflect the demographic characteristics of the population of interest?
Convenience sample
What is a sample that is taken without bias?
A randomly selected sample.
What are the advantages and disadvantages of inferential statistics?
One advantage of inferential statistics is that large predictions can be made from small data sets. However, if the sample is not representative of the population then the predictions will be incorrect.
How do you ensure less sample bias?
The sample should be selected randomly.
What is the definition for unbiased sample?
A sample is Unbiased if everyone in the sample have an equal chance of being selected
When you draw a sample from a normal distribution what can you conclude about the sample distribution?
The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.
Randomly selected portion of the population?
sample
What is important for a scientific sample?
self selected
What does replacement mean in probability?
When the sample is drawn, it is placed back where it was taken from and if subsequent draws are made, it could be selected again.
Does a random largely selected sample always give a better estimate of the population than a randomly selected sample?
A larger random sample will always give a better estimate of a population parameter than a smaller random sample.
Which type of sample is selected to reflect the demographic characteristics of the population of interest?
Convenience sample
What is the definition for the sample of a population for which each has an equal chance of being selected?
Random Sample
A subset of a population selected to represent the population is a?
sample
