In Traditional Survey Reseach, elaborate what are;

1. Nonresponse Bias

2. Refusal rate

3. Response Bias

1. Nonresponse Bias

2. Refusal rate

3. Response Bias

pliwraih
2022-07-23
Answered

1. Nonresponse Bias

2. Refusal rate

3. Response Bias

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Killaninl2

Answered 2022-07-24
Author has **20** answers

1. Nonresponse bias happens when the people. reacting to an overview vary from nonrespondents on factors applicable to the study subject.

2. The refusal rate is the extent of all possibly qualified example cases that declined the solicitation to be met. Prior to figuring the refusal rate, scientists should settle on certain choices about how to deal with the sorts of nonresponse in the estimation.

3. Response bias is an overall term for a wide scope of propensities for members to react erroneously or dishonestly to questions. These predispositions are pervasive in research including member self-report, like organized meetings or overviews

2. The refusal rate is the extent of all possibly qualified example cases that declined the solicitation to be met. Prior to figuring the refusal rate, scientists should settle on certain choices about how to deal with the sorts of nonresponse in the estimation.

3. Response bias is an overall term for a wide scope of propensities for members to react erroneously or dishonestly to questions. These predispositions are pervasive in research including member self-report, like organized meetings or overviews

asked 2022-07-14

Calculating conditional probability given Poisson variable

I encountered a set of problems while studying statistics for research which I have combined to get a broader question. I want to know if this is a solvable problem with enough information specifically under what assumptions or approach.

Given that a minesweeper has encountered exactly 5 landmines in a particular 10 mile stretch, what is the probability that he will encounter exactly 6 landmines on the next 10 mile stretch. (Average number of landmines is 0.6 per mile in the 50 mile stretch)

I have figured that the approach involves finding out the Poisson probabilities of the discrete random variable with the combination of Bayes Conditional probability. But am stuck with proceeding on applying the Bayes rule. i.e $Pr(X=6\mid X=5)$.

I know that $Pr(X=5)={e}^{-6}{5}^{6}/5!.$ Here $\lambda =0.6\cdot 10$ and $X=5$) Similarly for $Pr(X=6)$. Is Bayes rule useful here: $P(Y\mid A)=Pr(A\mid Y)Pr(Y)/(Pr(A\mid Y)Pr(Y)+Pr(A\mid N)Pr(N))$?

Would appreciate any hints on proceeding with these types of formulations for broadening my understanding.

I encountered a set of problems while studying statistics for research which I have combined to get a broader question. I want to know if this is a solvable problem with enough information specifically under what assumptions or approach.

Given that a minesweeper has encountered exactly 5 landmines in a particular 10 mile stretch, what is the probability that he will encounter exactly 6 landmines on the next 10 mile stretch. (Average number of landmines is 0.6 per mile in the 50 mile stretch)

I have figured that the approach involves finding out the Poisson probabilities of the discrete random variable with the combination of Bayes Conditional probability. But am stuck with proceeding on applying the Bayes rule. i.e $Pr(X=6\mid X=5)$.

I know that $Pr(X=5)={e}^{-6}{5}^{6}/5!.$ Here $\lambda =0.6\cdot 10$ and $X=5$) Similarly for $Pr(X=6)$. Is Bayes rule useful here: $P(Y\mid A)=Pr(A\mid Y)Pr(Y)/(Pr(A\mid Y)Pr(Y)+Pr(A\mid N)Pr(N))$?

Would appreciate any hints on proceeding with these types of formulations for broadening my understanding.

asked 2022-07-21

If I found that a series converges, how can I know to what number it's converging to?

I started learning series in calculus and I have trouble catching a basic concept. When I try to find if a series converges or diverges I have many ways to go about it. If I see that the series diverges than I stop there. If I see that the series converges than there is a number it's converging to right?

For example: $\sum \frac{2}{{n}^{3}+4}$. I do the limit comparison test with the series $\sum \frac{1}{{n}^{3}}$ and get a finite number 2. I know that $\sum \frac{1}{{n}^{3}}$ converges, so now I know that $\sum \frac{2}{{n}^{3}+4}$ converges also. How do I know to what number it converges to?

I started learning series in calculus and I have trouble catching a basic concept. When I try to find if a series converges or diverges I have many ways to go about it. If I see that the series diverges than I stop there. If I see that the series converges than there is a number it's converging to right?

For example: $\sum \frac{2}{{n}^{3}+4}$. I do the limit comparison test with the series $\sum \frac{1}{{n}^{3}}$ and get a finite number 2. I know that $\sum \frac{1}{{n}^{3}}$ converges, so now I know that $\sum \frac{2}{{n}^{3}+4}$ converges also. How do I know to what number it converges to?

asked 2022-07-23

The average number of students per class at school $X$ is $25$ and the average number of students per class at school $Y$ is $33$. Given that there are more classes in school $X$ than in school $Y$, is the average number of students per class for both schools combined less than $29$?

asked 2022-07-17

Find the find the quadratic average and the geometric average. To do this I have these informations :

The standart deviation, the arithmetic average and the number of values.

The standart deviation, the arithmetic average and the number of values.

asked 2022-07-22

Is a weighted average, assuming the weights sum up to one, always smaller than the unweighted arithmetic average? As if the weights are smaller than one the weighted mean is a convex combination of the individual points. Is there any condition on the individual observation for the statement to hold true?

asked 2022-08-12

In survey question, what is Nonresponse bias?

asked 2022-08-14

Daphne mails a survey to 50,000 recent college graduates across America. The responses indicate overwhelmingly that graduates felt their education helped secure them a better job, but only 6% of the surveys were returned. What type of bias is most strongly present in Daphne’s study?

Self-Interest Study

Voluntary Response Bias

Loaded questions

Perceived lack of anonymity

Response Bias

Nonresponse Bias

Self-Interest Study

Voluntary Response Bias

Loaded questions

Perceived lack of anonymity

Response Bias

Nonresponse Bias