Question

Which of the following statements about random sampling is correct: (i) Each element of the population...

Which of the following statements about random sampling is correct:

(i) Each element of the population has an equal probability of being

included in the sample.

(ii) It is impossible to collect 'bad' samples, that is samples which are

unrepresentative of the population.

(iii) The population is divided into 'clusters' and one or more of these

clusters are then randomly chosen.

Homework Answers

Answer #1

The correct answer is:

(i) Each element of the population has an equal probability of being included in the sample.

SRS or simple random sampling is based on the premise that every element of the population being sampled has an equal probability of being selected.

These are false:

(ii) It is impossible to collect 'bad' samples, that is samples that are unrepresentative of the population.

It is possible if we are collecting a small sample or any other various scenarios samples which are unrepresentative of the population.

(iii) The population is divided into 'clusters' and one or more of these clusters are then randomly chosen.

This is the procedure in the case of cluster sampling. It does not apply to random sampling in general.

Please do upvote if you are satisfied! Let me know in the comments if anything is not clear. I will reply ASAP!

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Which of the following statements is not true for sampling distributions? a. A sampling distribution is...
Which of the following statements is not true for sampling distributions? a. A sampling distribution is necessary for making confidence statements about an unknown population parameter. b. A sampling distribution depends on the nature of the population being sampled. c. When sampling at random from a normal population, the sampling distribution for the sample average is a normal distribution. d. None of the above. AND TRUE or FALSE Assume a random sample of size n is from a normal population....
1- When we perform ______________, an element of a population always has a chance of being...
1- When we perform ______________, an element of a population always has a chance of being chosen at each point of selection. Stratified random sampling Sampling with replacement Sampling without replacement Cluster sampling 2-__________ sampling is defined as sampling where we know the chance that each element in the population will be included in the sample. Judgment Convenience Nonrandom Probability
Which of the following statements are true? I. The sampling distribution of ¯xx¯ has standard deviation...
Which of the following statements are true? I. The sampling distribution of ¯xx¯ has standard deviation σ√nσn even if the population is not normally distributed. II. The sampling distribution of ¯xx¯ is normal if the population has a normal distribution. III. When nn is large, the sampling distribution of ¯xx¯ is approximately normal even if the the population is not normally distributed. I and II I and III II and III I, II, and III None of the above gives...
Which of the following statements are true? I. The sampling distribution of ¯xx¯ has standard deviation...
Which of the following statements are true? I. The sampling distribution of ¯xx¯ has standard deviation σ√nσn even if the population is not normally distributed. II. The sampling distribution of ¯xx¯ is normal if the population has a normal distribution. III. When nn is large, the sampling distribution of ¯xx¯ is approximately normal even if the the population is not normally distributed. I and II I and III II and III I, II, and III None of the above gives...
Suppose we are sampling from a normally distributed population, and we wish to use the t...
Suppose we are sampling from a normally distributed population, and we wish to use the t procedure to find a confidence interval for the population mean. Consider the following 3 statements: I. All else being equal, the greater the sample size, the smaller the margin of error. II. All else being equal, the greater the confidence level, the greater the margin of error. III. All else being equal, the greater the sample variance, the smaller the margin of error. Which...
Match the following descriptions with the correct sampling technique. - A sample in which every group...
Match the following descriptions with the correct sampling technique. - A sample in which every group of n items is equally likely. A sample in which the population is divided into groups, and then a random sample is taken from each. - A sample in which every member has an equally likely chance of selection. - A sample where a few groups are randomly selected, and then each member of those groups are measured. - A sample where the first...
If each individual in the population is equally likely to be included in the sample, the...
If each individual in the population is equally likely to be included in the sample, the sample is called a • A. equalized sample. • B. stratified sample. • C. repeated measure design. • D. random sample. I am not sure why the answer is not A- equalized sample. In Munro p.13 it states, “In equal random sampling, each person in the population has the same probability of being chosen to be in the sample.” Random sampling has a different...
According to the U.S. Department of Transportation, people in the age group of 15 to 20...
According to the U.S. Department of Transportation, people in the age group of 15 to 20 spend an average of 25 minutes driving every day. Assume that    You randomly select 50 drivers in this age group and find the sample mean . Which of the following statements are true about , as random variable? I. The mean of sample mean (x bar)is equal to the mean of the population. II. The standard deviation of the sample mean is equal...
solve the following and mark the correct statement. i) In which case could the sampling distribution...
solve the following and mark the correct statement. i) In which case could the sampling distribution of sample means be expected to be normally distributed? A) The parent population is skewed, the sample size is 20. B) The parent population is jumbled, the sample size is 20 C) The parent population is jumbled, the sample size is 50. D) The parent population is uniform, the sample size is 20. ii) Recent English test scores were approximately normally distributed with a...
Which of the following statements about continuous random variables and continuous probability distributions is/are TRUE? I....
Which of the following statements about continuous random variables and continuous probability distributions is/are TRUE? I. The probability that a continuous random variable takes a specific value is 0. II. The probability that a continuous random variable takes a negative value is 0. III. The probability that any uniformly distributed random variable takes a value less than its mean is 0.5. IV. The probability that a normally distributed random variable takes a value less than its mean is 0.5.