Direction: Answer the following questions. Write your answer before th
Schwelliney
Answered question
2021-12-06
1. What is the symbol for population mean?
2. A number that describes data from a sample.
3. A number that describes data from a population.
4. Random samples are used to avoid ? or error in sampling.
5. Of the NCR population, 36% has an allergy. A sample of 1200 selected adults resulted in 33.2% reporting an allergy. Identify the statistic and give its value.
Answer & Explanation
Ralph Lester
Beginner2021-12-07Added 16 answers
1) The population mean is the average of the population under consideration. It is denoted or represented by
Hence, the symbol for population mean is
Step 2
2) Inferential statistics enables to make an proper guess about a population parameter based on a statistic computed from a sample that is randomly drawn from the population.
Statistic is the characteristic that describes the data of the sample.
Hence, the number that describes data from the sample is statistic.
Step 3
3) Inferential statistics helps to make an proper guess about a population parameter based on a statistic computed from a sample that is randomly drawn from the population.
Parameter is the characteristic that describes the data of the population.
Hence, the number that describes data from the population is parameter.
Step 4 4) We know that the whole population can not be studied or surveyed.
Hence, we select a random sample and do the analysis on that sample, and generalize the results for the population.
We choose a sample that is random because we need to avoid the bias and error that may occur in sampling.
Hence, Random samples are used to avoid bias and error in sampling.
Step 5
5).We have,
As we are given the population and sample proportion, hence we will use the z test for single proportion. The formula and calculations for the test statistic is as follows:
Hence, the statistic is z statistic for single proportion and the value
New Questions in High school statistics
Read carefully and choose only one option
A statistic is an unbiased estimator of a parameter when (a) the statistic is calculated from a random sample. (b) in a single sample, the value of the statistic is equal to the value of the parameter. (c) in many samples, the values of the statistic are very close to the value of the parameter. (d) in many samples, the values of the statistic are centered at the value of the parameter. (e) in many samples, the distribution of the statistic has a shape that is approximately NormalConstruct all random samples consisting three observations from the given data. Arrange the observations in ascending order without replacement and repetition.
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