SAMPLINGSamplesFiammantSource Saunders er al (2009)1. Explain your understanding on the key elements as presented in Figure 1.2. When developing a questionnaire, identify the possible bias that will lead for theoccurrence of unethical issues in terms of:ResearcherRespondentMeasurement3. Identify the sources of error in the questionnaire development.

Since, the question number is not specified for answering, we'll be answering the first question…

Answered: SAMPLING Source Saunders er al (2009)

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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Do you plan to vote in favour of the speed limit change? Yes/NoItalic text EndItalic text startA scientist found the following number of responses per stratum:Italic text End Age 20-24 Age 25-29 Age 30-34 Yes 45 80 5 No 25 25 15 No response 25 10 55 What are two reasons a respondent might not answer this question? What are the strata in this sample? If a person is picked at random from the sample, what is the probability that they are age 25-29 or did not respond to this question? If three people are picked at random from the sample, what is the probability that at least one did not respond to this question? If we assume there is no bias, what conclusions can be drawn about the population’s opinion of the speed limit change? Justify your response. How would your answer to (e) change if we found out that 90% of those who did not respond are actually against the change?
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QUESTION 5 What is iny 0.8944)? (Use the normal tables and report to two digits.) QUESTION 6 What is 0inyl 0.9878)? (Use the normal tables and report to two digits.)
Which of the following most accurately describes a statistical hypothesis test? a technique that uses population data to make inferences about an unknown sample statistic a technique that allows researchers to describe a known sample O a technique that allows researchers to describe a known population O O O O a technique that uses sample data to draw inferences about an unknown population parameter
Please do question 1 in the image below
O a. the OLS estimate of r is biased due to sample selection. O b.the OLS estimate of r is unbiased. Oc the error u is homoskedastic. O d. the OLS estimator is BLUE.
Help me find the sample size of a population of 500 using yamani formular
DEVORESTAT97.2.020. MY NOTES ASK YOUR TEA TV advertising agencies face increasing challenges in reaching audience members because viewing TV programs via digital streaming is gaining in popularity. A poli reported that 55% of 2349 American adults surveyed said they have watched digitally streamed TV programming on some type of device (a) Calculate and interpret a confidence interval at the 99 confidence level for the proportion of all adut Americans who watched streamed programming up to that point in time. (Round yo answers to three decimal places.)
Section 4.1 Introduction to Probability Score: 4.67/15 4/15 answered Question 10 Giving a test to a group of students, the grades and gender are summarized below valuations A B Male 10 18 6. Female 9. 16 7 If one student was chosen at random, find the probability that the student was male. Probability = (Please enter a reduced fraction.) Submit Question ...jpg pic 16131095275...jpg pic_16131095275..jpg O Zoomday17bsp21.docx pic 1615670389...jpg 17 WX P N 吕口 F3 F4 F5 F2
Do you plan to vote in favour of the speed limit change? Yes/NoItalic text EndItalic text startA scientist found the following number of responses per stratum:Italic text End Age 20-24 Age 25-29 Age 30-34 Yes 45 80 5 No 25 25 15 No response 25 10 55 What are two reasons a respondent might not answer this question? What are the strata in this sample? If a person is picked at random from the sample, what is the probability that they are age 25-29 or did not respond to this question? If three people are picked at random from the sample, what is the probability that at least one did not respond to this question? If we assume there is no bias, what conclusions can be drawn about the population’s opinion of the speed limit change? Justify your response. How would your answer to (e) change if we found out that 90% of those who did not respond are actually against the change?
Can you explain 2.35
Data for gas mileage (in mpg) for different vehicles was entered into a software package and part of the ANOVA table is shown below: Source DF SS MS Vehicle 2 440 220.00 Error 17 318 18.71 Total 19 758 Determine the p-value for the data. a) 0.0052 b) 0.8994 c) 0.0006 d) 0.0021 e) 0.0236 f) None of the above

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