Mention some of the factors that affect choosing a sample over a population when conducting a statistical study.

Q: Use the technology of your choice to obtain the measures of center that are appropriate from among…

A:

Q: What is the difference between population mean and sample mean? In what cases do the population mean…

A: Understanding the concept of population and sample mean is critical to statistical inferential…

Q: rue or False. It is important for researchers to account for the loss of participants during…

A: When estimating sample size, it is not important for researchers to account for attrition or loss…

Q: Discuss the advantage of the independent sample test compared with the advantage of the one sample…

A: In hypothesis testing we test the hypothesis regarding the population parameter.

Q: In statistical inference, measurements are made on a sample or population?

A: To identify the correct answer to the question.

Q: Does the sample size ? affect the mean of all possible sample means? Explain your answer.

A: According to central limit theorem, for large sample (>30) or if the population follows normal…

Q: Discuss the characteristics of the basic descriptive statistics: sample size, mean, and standard…

A: Characteristics of mean: Mean represents all the values of the data. Outliers of the data affects…

Q: What is the significance of Statistics in choosing country’s next leaders?

A: Statistics is a field of study which includes collecting, organizing, analyzing and interpreting the…

Q: Although, in practice, sample data are generally analyzed in inferential studies, what is the…

A: If the data consists of different methods for estimating the sample and drawing the inferences about…

Q: 1. Statistical Literacy Explain the difference between a stratified sample and acluster sample.

A: Stratified sampling:   In the stratified sampling, the units in the population are divided into…

Q: Paired samples are analyzed differently than separate samples because paired samples lack (note:…

A: As we know, Paired samples take the measurement from the same variable under different conditions,…

Q: Biased statistics can result from a variety of problems during the data collection process. What…

A: When the very low proportion of intended participants actually participates in data it leads to a…

Q: What is the difference between using a population or using a sample to carry out a statistical study

A: A statistical population is a collection of individuals from which to draw statistical inferences,…

Q: What do you understand by the terms “population” and “sample”? What are population parameters, and…

A:

Q: Describe similarities and differences between sample findings and population facts and between…

A: We need to state differences between 1. Sampling findings and population facts 2. parameter and…

Q: What are the limitations of statistics?

A: Here limitation of statistics is asked

Q: 7. Sample Reliability. Although Nielsen surveys only a few thousand households out of the millions…

A: We have to answer questions related to sampling.

Q: List and describe two of the common types of explanation for statistical relationship (other than…

A:

Q: Write down the characteristics of statistics?

A:

Q: The best point estimator for the population mean is the sample mean. True False

A: TRUE

Q: What is the difference between testing hypothesis on a population and testing hypothesis when…

A: Statistical hypotheses testing:   Hypotheses testing is used to make inferences about the population…

Q: Explain the tests of statistical significance?

A: It is asked to explain the tests of statistical significance.

Q: Explain one possible advantage of using a paired sample instead of independent samples.

A: Paired samples, are also known as dependent samples, can be defined as the samples in which natural…

Q: What is the difference between the computational formula and the defining formula of a sample…

A: It is an important part of statistics. It is widely used.

Q: What are the steps for finding the relative frequency of sample means above or below a specified…

A: The sampling distribution of sample means is approximately a normal distribution because of the…

Q: Understand the basic principles of sampling, including the differences between statistical and…

A: The sampling theory is based on three principles- (a) Principle of validity- According to this, the…

Q: Consider the implications of selecting a sample based upon your choice as a researcher and how you…

A: If a sample is selected upon the choice of a researcher then it is expected to have a bias which…

Q: analyze all problems using spss or r. results sections must be typed. pay particular attention to…

A: This study examines the effects of a dental film on the frequency with which children brush their…

Q: What does it mean when sample results are not statistically significant?

A: statistically significant: In principle, a statistically significant result (usually a difference)…

Q: What is the importance of getting a sample from a population? When and why is it necessary?

A: The population is defined as a large group in which the units involved have the same…

Q: Give your own example of a statistical study involving parameter and sample. 1. Parameter  2.…

A: We have to give the examples of  a.. Parameters  b.. Statistic

Q: What is the relationship between error in results and sample size? (explain)

A: Formula to calculate error :  Error = Z*(standard deviation/√n)  n = (Z*standard deviation/Error)2