Given a large random sample, which of the following types of data are least appropriately analyzed with nonparametric tests?

C. Numerical values (e.g., 28.43, 79.11)

A. Signed data (e.g., number of positives and negatives)

B. Ranked data (e.g., 1st, 3rd)

Q. Which of the following statements is most accurate? If the covariance of returns between two assets is 0.0023, then:

C. the asset returns have a positive relationship.

A. the assets’ risk is near zero.

B. the asset returns are unrelated.

The distribution of all the distinct possible values for a statistic when calculated from samples of the same size randomly drawn from the same population is most accurately referred to as:

C. the sampling distribution of a statistic.

A. a discrete uniform distribution.

B. a multivariate normal distribution.

Q. A hypothesis test for a normally distributed population at a 0.05 significance level implies a:

C. 5% critical value rejection region in a tail of the distribution for a one-tailed test.

A. 95% probability of rejecting a true null hypothesis.

B. 95% probability of a Type I error for a two-tailed test.

Q. The best approach for creating a stratified random sample of a population involves:

C. drawing simple random samples from each subpopulation in sizes proportional to the relative size of each subpopulation.

A. drawing an equal number of simple random samples from each subpopulation.

B. selecting every kth member of the population until the desired sample size is reached.

The confidence interval is most likely to be:

C. narrower as the reliability factor decreases.

A. wider as the sample size increases.

B. wider as the point estimate increases.

Q. If an estimator is consistent, an increase in sample size will increase the:

B. efficiency of the estimator.

C. unbiasedness of the estimator.

Q. A Type II error is best described as:

B. failing to reject a false null hypothesis.

A. rejecting a true null hypothesis.

C. failing to reject a false alternative hypothesis.

Q. A tree-map is best suited to illustrate:

C. value differences of categorical groups.

A. underlying trends over time.

B. joint variations in two variables.

C. The p-value is the smallest level of significance at which H0 can be rejected.

A. The p-value indicates the probability of making a Type II error.

B. The lower the p-value, the weaker the evidence for rejecting the H0.

Which of the following is the least likely characteristic of the normal probability distribution? The normal probability distribution:

A. is more suitable as a model for asset prices than for returns.

B. has the same value for mean, median, and mode.

Q. An analyst is examining the monthly returns for two funds over one year. Both funds’ returns are non-normally distributed. To test whether the mean return of one fund is greater than the mean return of the other fund, the analyst can use:

C. both parametric and nonparametric tests.

B. 9.60 and do not reject the null.

C. 7.15 and do not reject the null.

Q. Which one of the following statements about Student’s t-distribution is false?

A. It is symmetrically distributed around its mean value, like the normal distribution.

B. It has shorter (i.e., thinner) tails than the normal distribution.

C. As its degrees of freedom increase, Student’s t-distribution approaches the normal distribution.

Q. A chi-square test is most appropriate for tests concerning:

B. differences between two population means with variances assumed to be equal.

C. differences between two population means with variances assumed to not be equal.

A z-test regarding a mean is most appropriate when the variance is unknown and the:

B. central limit theorem is applicable.

A. sample is not normally distributed.

C. sample is small and normally distributed.

Quant 1.11 Test

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MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Q. Which of the following characteristics of an investment study most likely indicates time-period bias?

A. The study is based on a short time-series.

B. Information not available on the test date is used.

C. A structural change occurred prior to the start of the study’s time series.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

None

A. $30,432 .

B. $30,447 .

C. $31,677 .

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

None

A. 34.51.

B. 100.49.

C. 102.98.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

The minimum rate of return an investor must receive in order to accept an investment is best described as the:

A. internal rate of return.

B. required rate of return.

C. expected return.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Which statement is most accurate when considering a multivariate normal distribution for the returns on 10 stocks from different sectors? There are:

A. 45 distinct correlations not equal to one.

B. 90 distinct correlations not equal to one.

C. 100 distinct correlations.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

None

A. The probability that the value of X will be equal to 4 is 0.90

B. The probability that the value of X will be less than or equal to 5 but greater than 2 is 0.75.

C. The random variable X is continuous.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Survivorship bias is most likely an example of which bias?

A. Sample selection

B. Data mining

C. Look-ahead

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Quant 1.11 Test

Q. Which of the following characteristics of an investment study most likely indicates time-period bias?

None

None

The minimum rate of return an investor must receive in order to accept an investment is best described as the:

Which statement is most accurate when considering a multivariate normal distribution for the returns on 10 stocks from different sectors? There are:

None

Survivorship bias is most likely an example of which bias?

None

Q. A stock is priced at $100.00 and follows a one-period binomial process with an up move that equals 1.05 and a down move that equals 0.97. If 1 million Bernoulli trials are conducted and the average terminal stock price is $102.00, the probability of an up move (p) is closest to:

Q. Data values that are categorical and not amenable to being organized in a logical order are most likely to be characterized as:

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