In statistics we are able to make inference because statistics have a predictabledistribution called a sampling distribution. One method of inference we have discussed isthe idea of hypothesis testing. Explain briefly how the sampling distribution is used in theprocess of hypothesis testing.

Introduction Hypothesis is an assumption that is being tested.

Answered: In statistics we are able to make…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Students often confuse the concepts of Random Sampling and Random Assignment (probably because they both contain the same word "random"), but these are different tools designed to solve different problems. This discussion is designed for students to help each other build a complete understanding, and clearly separate these as two distinct concepts. Discuss the similarities and differences between these, as well as the research problems they are used to solve.
Part 1: Consider sampling in statistics. Why do we take samples? Why do we want representative samples (and what does it mean)? Part 2: Are there limitations to the data source and your sample (For example, my data and sample is about animals)? Why? How might you design this differently to get a more representative sample? Further - in your opinion is there still value to be gained even if a sample is not representative?
What is Inferential Statistics?
A poll found that 59% of a sample of 1020 teens in a certain large country go online several times a day. (Treat this sample as a simple random sample.) Complete parts a through e below. Find the margin of error for this poll if we want 90% confidence in our estimate of the percent of teens in the country who go online several times a day. Explain what the margin of error means. If instead we need to be 95% confident, will the margin of error be larger or smaller? Explain. Find that margin of error.
Describe a study in which you can use both nonparametric and parametric statistics. A researcher has participants expecting to receive either painful or mild electrical shocks during a study wait in a quarter-full waiting room with other participants. He then measures whether they choose to sit next to other participants or if they sit far away on their own. What is the best test to run for this study and why?
An article claims that 70% of adults over 50 take vitamin supplements. To test this claim, you take a sample and do your math. Based on your results, you end up rejecting the claim. Later it turns out that the claim was in fact correct. What type of error did you make, if any? No error was made. A type II error A type I error
Please answer the following question using *********EXCEL******
Traditional statistics (means, variances, and hypothesis tests) are not used to evaluate the results from a single-case study. Explain how the results are evaluated.
The area of inferential statistics called hypothesis testing is a decision-making process for evaluating claims about a population parameter, based on information obtained from samples. True or false

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In statistics we are able to make inference because statistics have a predictable distribution called a sampling distribution. One method of inference we have discussed is the idea of hypothesis testing. Explain briefly how the sampling distribution is used in the process of hypothesis testing.