How many repetitions are usually required for the Jackknife method on a sample of size n?
Explanation
Since it leaves out one specific observation at a time, there are exactly n possible jackknife samples.
Other questions
Which of the following best describes a key characteristic of probability sampling?
Which sampling method involves dividing the population into subpopulations and drawing samples from each proportional to their relative size?
If a researcher selects every 50th member of a population list to create a sample, which method is being used?
What is the primary advantage of stratified random sampling over simple random sampling?
In the context of sampling, what is 'sampling error'?
Which sampling technique is most commonly used for bond indexing?
Cluster sampling is considered most advantageous in terms of:
What distinguishes 'two-stage' cluster sampling from 'one-stage' cluster sampling?
Which of the following is a risk associated with non-probability sampling?
Auditors using their professional knowledge to select specific transactions for review is an example of:
Which sampling method is most appropriate when the population data is homogeneous?
According to the Central Limit Theorem (CLT), the sampling distribution of the mean will be approximately normal if the sample size is:
Under the Central Limit Theorem, the mean of the sampling distribution is equal to:
If a population has a standard deviation of 20 and a sample size of 100 is drawn, what is the standard error of the sample mean?
Standard error is best defined as:
When the population standard deviation is unknown, the standard error is estimated using:
Bootstrapping is a resampling method that involves:
A key difference between Bootstrapping and Jackknife resampling is that:
In Bootstrapping, the size of each re-sample is:
Which method is also referred to as 'model-free re-sampling' or 'non-parametric re-sampling'?
If a sample mean is 50, the population standard deviation is 10, and the sample size is 25, what is the standard error?
Which sampling method is prone to 'skewed results' due to the bias of the researcher?
What is a characteristic of Convenience Sampling?
Which method is useful when population members cannot be coded or identified?
In Stratified Random Sampling, samples from each stratum are drawn:
Which of the following statements regarding Cluster Sampling is correct?
A distribution of all distinct possible values that a statistic can assume when computed from samples of the same size is called:
The Central Limit Theorem implies that as the sample size increases, the standard error of the sample mean:
If standard error is calculated as s/sqrt(n), what does 's' represent?
Which resampling method replaces each item drawn for the next draw?
If you are conducting a survey and choose to interview people simply because they are easily accessible at a shopping mall, you are using:
In the Jackknife method, if the original sample has 10 observations, how many re-samples are created?
Which of the following is true regarding the sample mean in relation to the Central Limit Theorem?
Sample standard deviation (Sx) approaches what value according to the Central Limit Theorem?
If we want to find out how precise the estimate of a population parameter from sampled data is, which statistic should be used?
In stratified random sampling, all strata are included, but in cluster sampling:
Which sampling method guarantees that population subdivisions of interest are represented?
Which of the following is a type of non-probability sampling?
For a sample size of 64 and a population standard deviation of 16, calculate the standard error.
What is the result of using a systematic sampling plan?
Which method involves selecting a sample by handpicking elements based on knowledge?
The standard error formula s/sqrt(n) is used when:
Which of the following describes 'One-stage cluster sampling'?
Probability sampling is generally preferred over non-probability sampling because:
If a sample size n=49 and sample standard deviation s=14, what is the estimated standard error?
In the context of Big Data, bootstrapping is often called:
What is the relationship between the standard deviation of the sampling distribution and the standard error?
Which sampling method is noted for having 'level of sampling accuracy could be limited'?
If a sample has 100 observations, determining the appropriate number of repetitions for Bootstrapping is: