1.Answer each question.(a) What is the difference between a statistic and a parameter. Give an example to illustratethis difference.(b) Which of the following sampling methods is not considered statistically valid?cluster samplingsimple random sampling(i)(ii)(iii) judgement sampling(iv)multistage sampling(c) What is a placebo controlled double blind study?(d) A polling firm reported that, according to their recent poll, 23% of voters in UpperCrowsroost would vote for the Old Hat Party in the upcoming election. They said this result wascorrect to within ± 2.4%, 19 times out of 20. Find:The margin of error:The confidence level:The proportion of the sample that would vote for the Old Hat Party:

Since you have posted a question with multiple subparts, we will solve the first three complete…

(a) What is the difference between a statistic and a parameter. Give an example to illustrate this difference. (b) Which of the following sampling methods is not considered statistically valid? (i) cluster sampling simple random sampling (iii) judgement sampling (iv) multistage sampling (c) What is a placebo controlled double blind study? (ii)

(a) What is the difference between a statistic and a parameter. Give an example to illustrate this difference. (b) Which of the following sampling methods is not considered statistically valid? (i) cluster sampling simple random sampling (iii) judgement sampling (iv) multistage sampling (c) What is a placebo controlled double blind study? (ii)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Scenario: An early childhood education student is undertaking an observational study of literacy development among kindergardeners in Rancho Cordova. The school she is placed at has 230 students in 12 classrooms Short Answer A. Describe a way she can take a stratified sample. B. Describe what the explanatory and response variables may be. C.A convenience sample is taken and introduces nonrandom sampling error. What is one way this can happen?
Good Evening, Please Answer Part A ASAP.
You may need to use the appropriate appendix table or technology to answer this question. The president of Doerman Distributors, Inc., believes that 25% of the firm's orders come from first-time customers. A random sample of 100 orders will be used to estimate the proportion of first-time customers. (a) Assume that the president is correct and p = 0.25. What is the sampling distribution of p for n = 100? (Round your answer for o- to four decimal places.) .0433 E(p) = .25 Since np = 25 and n(1 - p) = |75 , approximating the sampling distribution with a normal distribution appropriate in this case. (b) What is the probability that the sample proportion p will be between 0.15 and 0.35? (Round your answer to four decimal places.) (c) What is the probability that the sample proportion will be between 0.20 and 0.30? (Round your answer to four decimal places.)
You plan to conduct a study on a new diet product that has benefits for both Type I and II diabetics and those with high blood pressure. If your study provides the wrong direction it could cost the company millions. Your sampling design should be a _____. Multiple Choice nonprobability convenience sample simple random probability sample nonprobability judgement sample nonprobability quota sample double probability sample
(a) What is the level of significance? (Enter a number.) State the null and alternate hypotheses. Will you use a left-tailed, right-tailed, or two-tailed test? (b) What sampling distribution will you use? Explain the rationale for your choice of sampling distribution. Compute the z value of the sample test statistic. (Enter a number. Round your answer to two decimal places.) (c) Find (or estimate) the P-value. (Enter a number. Round your answer to four decimal places.) d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?
In order to measure the effectiveness of a weight loss program, members are weighed at the beginning and the end of the program. This is an example of independent samples with unequal population variances. True or False True False
Using statistical terminology, data sets, and various graphical displays, please provide a scenario that will satisfy all of the following conditions.
Match the sampling scheme to an example of that type of sampling. Group of answer choices Simple Random Sample (SRS), without replacement Simple Random Sample (SRS), with replacement Stratified Cluster Systematic Voluntary Response Judgment AC Randomly selecting a group or small…
Compare and contrast (a.) single-sample t tests, (b.) paired sample t tests, and (c.) independent sample ttests in terms of participants recruited, data collected from each participant, and information we need toconduct the analysis.
STRATIFIED Random Sampling 1. Below is the number of students taking up statistics from each department. A seminar will be conducted outside the campus: Table 1: Number of Students enrolled in Statistics Course Number of Percent (c) (d) students (0.0000) (whole no.) (whole no.) Nursing 1,120 HRM 589 Engineering 557 IT 434 Total 2,700 a. Which between the 3% and the 5% margin of error will allow the department to work within the budget? Justify your answer. b. At 5% margin of error, how many participants should be taken as samples? c. Using proportional allocation, how many participants will be taken from each department (refer to n in "b")? d. Using equal allocation, how many participants will be taken from each department (refer to n in "b")?
Need help with this question. Thank you :)
Up-County Associates is hired to estimate the proportion of county households that own three or more automobiles. They conducted their survey using a simple random sample of 250 randomly selected households and found that 23% of those households owned three or more automobiles. (a) Is the proportion, 23%, a parameter or a statistic? Explain. (b) If Up-County Associates were to continually choose simple random samples of 250 randomly selected households, each time recording the proportion of households in the sample owning three or more automobiles, what would be the “shape” of the resulting distribution of all these sample proportions? Explain. (c) Suppose now that survey company Lower-County Polling also conducted a survey to determine the proportion of county households that own three or more automobiles, but they surveyed only 100 randomly selected households. If Lower-County Polling were also to sample over and over again (using simple random samples…