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An example of a parameter is
- a)sample mean.
- b)population mean.
- c)binomial distribution.
- d)sample size.
Correct answer is option 'B'. Can you explain this answer?
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An example of a parameter isa)sample mean.b)population mean.c)binomial...
Parameter - Population Mean
Definition: A parameter is a numerical value that summarizes some characteristic of a population. A population is the entire group of individuals or objects that we want to study.
Population Mean: The population mean is the average (arithmetic mean) of the entire population. It is represented by µ (mu) and is calculated by adding up all the values in the population and dividing by the total number of individuals or objects in the population.
Example: Suppose we want to know the average height of all adult males in a particular city. The population in this case would be all the adult males in that city. To calculate the population mean, we would need to measure the height of every single adult male in the city and use that data to calculate the average.
Other Examples of Parameters:
- Population standard deviation
- Population proportion
- Population variance
Parameters are important because they provide information about the entire population, rather than just a sample. In statistical inference, we use parameters to make inferences about the population based on data from a sample.
Definition: A parameter is a numerical value that summarizes some characteristic of a population. A population is the entire group of individuals or objects that we want to study.
Population Mean: The population mean is the average (arithmetic mean) of the entire population. It is represented by µ (mu) and is calculated by adding up all the values in the population and dividing by the total number of individuals or objects in the population.
Example: Suppose we want to know the average height of all adult males in a particular city. The population in this case would be all the adult males in that city. To calculate the population mean, we would need to measure the height of every single adult male in the city and use that data to calculate the average.
Other Examples of Parameters:
- Population standard deviation
- Population proportion
- Population variance
Parameters are important because they provide information about the entire population, rather than just a sample. In statistical inference, we use parameters to make inferences about the population based on data from a sample.
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An example of a parameter isa)sample mean.b)population mean.c)binomial...
The correct answer is B as we take an assumption about the total population. ...but as we all know that on an average every minute 250 people are born and we can't take into consideration these numbers. every minute ....but later we can re-estimate that or compare that with our actual results...and that states the definition of a parameter
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An example of a parameter isa)sample mean.b)population mean.c)binomial distribution.d)sample size.Correct answer is option 'B'. Can you explain this answer?
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An example of a parameter isa)sample mean.b)population mean.c)binomial distribution.d)sample size.Correct answer is option 'B'. Can you explain this answer? for CA Foundation 2024 is part of CA Foundation preparation. The Question and answers have been prepared according to the CA Foundation exam syllabus. Information about An example of a parameter isa)sample mean.b)population mean.c)binomial distribution.d)sample size.Correct answer is option 'B'. Can you explain this answer? covers all topics & solutions for CA Foundation 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for An example of a parameter isa)sample mean.b)population mean.c)binomial distribution.d)sample size.Correct answer is option 'B'. Can you explain this answer?.
An example of a parameter isa)sample mean.b)population mean.c)binomial distribution.d)sample size.Correct answer is option 'B'. Can you explain this answer? for CA Foundation 2024 is part of CA Foundation preparation. The Question and answers have been prepared according to the CA Foundation exam syllabus. Information about An example of a parameter isa)sample mean.b)population mean.c)binomial distribution.d)sample size.Correct answer is option 'B'. Can you explain this answer? covers all topics & solutions for CA Foundation 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for An example of a parameter isa)sample mean.b)population mean.c)binomial distribution.d)sample size.Correct answer is option 'B'. Can you explain this answer?.
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