Compute the sample correlation coefficient of neckline and waistline:

Q: You want to assess the attitudes toward math by the students in your school district. You decide to…

A: Population is the set of all objects of interest. Sample is s subset of the population. It is not…

Q: The median has a sampling distribution. Explain why or why not?

A:

Q: Define bias?

A: In this case, we need to define bias.

Q: entering your work cafeteria and are approached by an individual to participate in their study by…

A: Given that  You are entering your work cafeteria and are approached by an individual to participate…

Q: What sampling techniques should be used while establishing if someone is happy or not?

A: Here we want to establish sampling technique if someone happy or not.

Q: isn't the sample size should be 35, not 12?

A: We have given that the information presented by the tutorial school related to the IELTS  mock…

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

A: To identify the correct answer to the question.

Q: A population consist of 5, 10, 15, 20, 25. Consider the sample of size 2 that can be drawn from this…

A: Given : Population consist of 5,10,15,20,25 Population size : N = 5 sample size : n =2 We want to…

Q: Explain, in your own words, the difference between random assignment and random sampling. Can one…

A: Given information: It is required to explain about random assignment and random sampling.

Q: We discussed a couple of problems that arise during sampling. Describe one of these problems and…

A:

Q: What is true about the sampling distribution of the mean retings reported to you by the market firms

A:

Q: What is the Sample Variance for the following numbers: 52, 62, 52, 45, 41

A: Solution-: Given data: 52, 62, 52, 45, 41 We want to find the sample variance?

Q: 1. On the first day of finals, 20 students at La Platta College were selected at random. They were…

A:

Q: A smaller sample size will cause the margin of error to decrease. True False ONLY If false, change…

A: Given problem Given that   A smaller sample size will cause the margin of error to decrease.  Ans)…

Q: Online gamers are divided into different age groups. A random sample from each group is selected and…

A: From the given information we want to know method of sampling.

Q: Prof. Badalian wants to know the ages of moviegoers who go to see Star Wars. If he survey everyone,…

A: Systematic sampling can be defined as selecting the sample from  the large population according to…

Q: 9. Determine whether the numerical value is a parameter or a statistic (and explain): A recent…

A: Part(a): Statistic because it is from a sample   Part(b): Parameter because it is from the…

Q: Explain in your own words: What is sampling error? What is a representative random sample?

A: we explain in the following.

Q: You are doing research on students and you are interested in looking at the differences among…

A: Given that, The collected 100 response from each class. i.e. 100 freshmen, 100 sophomores, 100…

Q: Let's examine the mean of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 by drawing samples from these…

A:

Q: To determine customer opinion of their service, Business Depot randomly selects 50 stores during a…

A: In this case, we need to identify the correct sampling method for the given statement.

Q: C. The management company of a local mall plans to survey a random sample of 8 stores to determine…

A: Given 21 stores list in a local mall as  1. Aeropostale                                  2. Forever…

Q: List or write the sample space for the gender in 3 randomly selected births. www

A:

Q: A newspaper asks its readers to call in their opinion regarding their taste in reading. What type of…

A:

Q: In the textbook, a sampling distribution can be regarded as approximately normal when which…

A: Answer:-  Sampling data can be regarded as approximately normal when this conditions met:-

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.