In sampling theory,how many statistics we use to have an idea about population ?
In sampling theory,how many statistics we use to have an idea
about
population ?
Homework Answers
This is quite subjective question. In inferential statistics, we draw conclusions about population based on sample statistic.
More the sample size, more accurate the conclusions would be. Based on some prior goal, we try to estimate sample size. For instance, we try to estimate sample size so that error is no more than 5 percent.
And moreover, for sample size greater than 30 is considered large enough for Central Limit Theorem.
Add Answer to:
In sampling theory,how many statistics we use to have an idea
about
population ?
Course: SAMPLING THEORY In systematic sampling, we use the same formula for finding a sample size...
Course: SAMPLING THEORY In systematic sampling, we use the same formula for finding a sample size as when we are dealing with a simple random sample. What are the consequences of doing this? Make sure to comment on each population type.
Think back over all of material we have covered this term. What idea, concept, or theory...
Think back over all of material we have covered this term. What idea, concept, or theory has been most meaningful to you and why? Alternatively, discuss what idea, concept, or theory you think every team should be aware of and why.
Suppose we examined samples of size n = 50 from the population of Basic Statistics classes...
Suppose we examined samples of size n = 50 from the population of Basic Statistics classes that I have taught at AU. Suppose that the sample mean is equal to 6.42 hours, and the population standard deviation is 6.72 hours. a. Suppose I gather 100 SRS of size 50, and I calculate 100 95% confidence intervals in the usual way. About how many of these would contain the population mean?
Sometimes the idea the sampling distribution of the mean can be tricky to fully grasp. If...
Sometimes the idea the sampling distribution of the mean can be tricky to fully grasp. If you think you understand it well, then respond to the following. Imagine that you have 100 pieces of paper on a table in front of you. Each one has a single number between 1 and 100 (inclusive) written on it; each of those number is written on exactly one piece of paper. You can consider this to be a population. Assuming you knew nothing...
Graduate Programs in Statistics! One of the many wonderful things about studying statistics is that graduate...
Graduate Programs in Statistics! One of the many wonderful things about studying statistics is that graduate programs in statistics often pay their graduate students, which means that many graduate students in statistics are able to attend graduate school tuition free with an assistantship or fellowship. In 2009, there were 82 US statistics or biostatistics doctoral programs for which enrollment data were available. The dataset Statistics PhD lists all these schools together with the total enrollment of full-time graduate students in...
Suppose we use iid sampling to obtain a sample of size 16 from a normal population...
Suppose we use iid sampling to obtain a sample of size 16 from a normal population with standard deviation, sigma = 10. What is the probability that our sample mean will be within 2 of the population mean?
Use python programing. We will look at the idea of how many olympic medals were won...
Use python programing.
We will look at the idea of how many olympic medals were won by
a country compared to it's population. The 2014 population of the
medal-earning countries that participated in the Sochi winter
olymipics was 2,516,757,975 people. Further, 295 medals were won in
the winter olympics in Sochi. This means that there were:
295 / 2,516,757,975 * 10,000,000 =1.172 medals awarded for every
10,000,000 people
For each country, we can use it's population and it's medal
count...
Simple random sampling uses a sample of size n from a population of size N to...
Simple random sampling uses a sample of size n from a population of size N to obtain data that can be used to make inferences about the characteristics of a population. Suppose that, from a population of 58 bank accounts, we want to take a random sample of four accounts in order to learn about the population. How many different random samples of four accounts are possible?
Simple random sampling uses a sample of size n from a population of size N to...
Simple random sampling uses a sample of size n from a population of size N to obtain data that can be used to make inferences about the characteristics of a population. Suppose that, from a population of 60 bank accounts, we want to take a random sample of nine accounts in order to learn about the population. How many different random samples of nine accounts are possible?
Simple random sampling uses a sample of size n from a population of size N to...
Simple random sampling uses a sample of size n from a population of size N to obtain data that can be used to make inferences about the characteristics of a population. Suppose that, from a population of 60 bank accounts, we want to take a random sample of six accounts in order to learn about the population. How many different random samples of six accounts are possible?
Graduate Programs in Statistics! One of the many wonderful things about studying statistics is that graduate programs in statistics often pay their graduate students, which means that many graduate students in statistics are able to attend graduate school tuition free with an assistantship or fellowship. In 2009, there were 82 US statistics or biostatistics doctoral programs for which enrollment data were available. The dataset Statistics PhD lists all these schools together with the total enrollment of full-time graduate students in...
Use python programing.
We will look at the idea of how many olympic medals were won by
a country compared to it's population. The 2014 population of the
medal-earning countries that participated in the Sochi winter
olymipics was 2,516,757,975 people. Further, 295 medals were won in
the winter olympics in Sochi. This means that there were:
295 / 2,516,757,975 * 10,000,000 =1.172 medals awarded for every
10,000,000 people
For each country, we can use it's population and it's medal
count...
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