2. Imagine you are taking samples (of size n3 fro "sampling With replacement" ensures independence. this...
I am supposed to answer these questions using R software. However, I have little to no experience with R or any other type of programming. Can someone please help me with the R code for these questions? Q1. Suppose you have a population of size 5 [ie. N= corresponding numbers are: You measure sorne quantity (X) and the 21,22,23, 24,25 a) Calculate the population mean () b) Calculate the population variance (ơ2) using the formula ơ2-41 -P Q2. Imagine you...
1. Three randomly selected households are surveyed. The numbers of people in the households are 3, 4 and 11. Assume that samples of size n=2 are randomly selected with replacement from the population of3, 4, and 11. Listed below are the nine different samples. Complete parts (a) through (c).3,3 3,4 3,11 4,3 4,4 4,11 11,3 11,4 11,11a. Find the variance of each of the nine samples, then summarize the sampling distribution of the variances in the format of a table...
The assets (in billions of dollars) of the four wealthiest people in a partioular country are 33, 27, 16, 11 Assume that samples of size n-2 are randomly selected with replacement rom this population of four values a. After identilying the 16 different possible samples and finding the mean of each sample, construct a table representing the sampling distribution of the sample mean In the table, values of the sample mean that are the same have been combined tement Probal...
Assignment 2: Connection between Confidence Intervals and Sampling Distributions: The purpose of this activity is to help give you a better understanding of the underlying reasoning behind the interpretation of confidence intervals. In particular, you will gain a deeper understanding of why we say that we are “95% confidentthat the population mean is covered by the interval.” When the simulation loads you will see a normal-shaped distribution, which represents the sampling distribution of the mean (x-bar) for random samples of...
12. Provide an appropriate response. Samples of size n- 240 are randomly selected from the population of numbers (0 through 20) produced by a random-number generator, and the variance is found for each sample. What is the distribution of the sample variances? O normal (approximately) O skewed to the right O skewed to the left O not enough information provided 13. Choose the correct response. ( point) Why is sampling without replacement acceptable with a large population? When a small...
ee randomly selected households are surveyed. The numbers of people in the households are 4,5, and 9. Assume that samples of size n 2 are randomly selected with replacement from the population of 4, 5, and 9. Listed below are the nine d Complete parts (a) through (c). 4,4 4,5 4,9 5,4 5,5 59 9,4 95 9,9p a. Find the variance of each of the nine samples, then summarize the sampling distribution of the variances in the format of a...
1. Explain the relationship between sample size and standard error. 2. You have a normal population with a u = 50 and o = 9. You obtain all possible random samples, each with n = 30, from this population and calculate each sample's mean. What will the average value of all the sample means be? a) 50 b) 5.56 c) 30.49 d) Cannot tell without more information 3. You are sampling from a distribution of scores that is positively skewed....
Page 1 Question 1 Suppose we take repeated random samples of size 20 from a population with a Select all that apply. mean of 60 and a standard deviation of 8. Which of the following statements is 10 points true about the sampling distribution of the sample mean (x)? Check all that apply. A. The distribution is normal regardless of the shape of the population distribution, because the sample size is large enough. B. The distribution will be normal as...
Please help ! Concepts to be familiar with: 1. Difference between populations (parameters) and samples (statistics): definitions and notation differences 2. Descriptive v. inferential statistics. What are they? What are their limitations? 3. Independent Variables (IVs) and Dependent Variables (DVs): definitions and how to recognize which is which in a study description 4. Discrete vs. continuous variables, apparent vs. real limits 5. Scales of measurement (N,O,I,R). Know what they are and examples of each. 6. Frequency tables: a. X, f,...
Please read the article and answer about questions. You and the Law Business and law are inseparable. For B-Money, the two predictably merged when he was negotiat- ing a deal for his tracks. At other times, the merger is unpredictable, like when your business faces an unexpected auto accident, product recall, or government regulation change. In either type of situation, when business owners know the law, they can better protect themselves and sometimes even avoid the problems completely. This chapter...