Question 2 of 50

Which of the following best describes a simple random sample?

Which sampling method involves dividing the population into subsets and assuming each subset is representative of the overall population?

What is the primary difference between one-stage and two-stage cluster sampling?

Which of the following is an example of non-probability sampling?

Sampling error is best defined as:

According to the Central Limit Theorem, the sampling distribution of the sample mean will be approximately normal if:

The Central Limit Theorem states that the mean of the distribution of sample means is equal to:

If a population has a mean of 50 and a standard deviation of 10, what is the standard error of the sample mean for a sample size of 25?

When the population standard deviation is unknown, the standard error of the sample mean is estimated by:

A sample of 100 observations has a standard deviation of 20. The standard error of the sample mean is:

As the sample size increases, what happens to the standard error of the sample mean?

An estimator is considered unbiased if:

Which property of an estimator refers to having the smallest variance among all unbiased estimators?

A consistent estimator is one where:

A point estimate is best described as:

A confidence interval is constructed using which of the following formulas?

For a normal distribution, the reliability factor for a 90 percent confidence interval is approximately:

The reliability factor for a 95 percent confidence interval using the standard normal distribution is:

A sample of 64 observations has a mean of 20 and a population standard deviation of 4. What is the 95 percent confidence interval for the population mean?

When constructing a confidence interval for the population mean of a normal distribution with unknown variance, which statistic should be used?

The degrees of freedom for a t-statistic calculated from a sample of size n is:

Compared to the standard normal distribution, the Student's t-distribution has:

As the degrees of freedom increase, the Student's t-distribution:

If a population is nonnormal and the variance is unknown, which test statistic is appropriate for a large sample (n > 30)?

If sampling from a nonnormal distribution with unknown variance and a small sample size (n < 30), which test statistic is available?

The Jackknife method of resampling involves:

The Bootstrap method involves:

Data snooping bias occurs when:

Survivorship bias is a form of:

Which bias occurs when a study tests a relationship using sample data that was not available on the test date?

Time-period bias results when:

A mutual fund database that only includes funds currently in existence likely suffers from:

A sample has a mean of 5 percent and a standard deviation of 10 percent. If the sample size is 100, what is the standard error of the sample mean?

With a sample size of 200 and a standard deviation of 20 percent, the standard error is 1.4 percent. If the sample size increases, the standard error will:

In a random sample of 50 items with a known population standard deviation, the standard error is 2. If the sample size is increased to 200, the new standard error will be:

If a confidence interval is 95 percent, the significance level (alpha) is:

Using a z-table, the probability that a standard normal random variable is less than -1.96 is:

For a t-distribution with 29 degrees of freedom, the critical value for a 95 percent confidence interval is 2.045. A sample of 30 has a mean of 2 and a standard deviation of 20. The confidence interval is closest to:

Systematic sampling involves:

Which sampling method is often used in bond indexing to approximate the index without purchasing every bond?

In the context of sampling distributions, the standard error decreases when:

When using the t-distribution, if the degrees of freedom increase, the confidence interval for a given significance level will:

A 99 percent confidence interval using the z-statistic includes the mean plus or minus:

Suppose a researcher tests a trading rule using the same database repeatedly until a significant result is found. This is an example of:

Using a price-to-book ratio based on year-end prices and year-end book values (available months later) to test a trading strategy is an example of:

If a study covers a time period where a fundamental structural change occurred (e.g., changing inflation dynamics), the study may suffer from:

Convenience sampling is best described as:

Which of the following is NOT a desirable property of an estimator?

To calculate the standard error of the sample mean when the population variance is known, one divides the population standard deviation by: