ADVANCE STATISTICS COMPREHENSIVE EXASMINATIONS 2024 Flashcards
What is the formula for calculating the coefficient of variation?
A. (Standard deviation / Mean) × 100%
B. (Mean / Standard deviation) × 100%
C. (Range / Mean) × 100%
D. (Mean / Range) × 100%
A
Which of the following is not a measure of dispersion?
A. Variance
B. Standard deviation
C. Range
D. Mode
D
What is the formula for calculating the sample size needed to estimate a population mean with
a specified margin of error?
A. n = (zσ / E)²
B. n = (tσ / E)²
C. n = (z / E)²
D. n = (t / E)²
A
What is the difference between a one-tailed and a two-tailed test in hypothesis testing?
A. A one-tailed test is used when the null hypothesis is directional, while a two-tailed test is used when the null hypothesis is non-directional.
B. A one-tailed test is used when the null hypothesis is non-directional, while a two-tailed test is used when the null hypothesis is directional.
C. A one-tailed test is used when the sample size is small, while a two-tailed test is used when the sample size is large.
D. A one-tailed test is used when the population variance is known, while a two-tailed test is used when the population variance is unknown.
A
Which of the following is not a type of probability sampling?
A. Simple random sampling
B. Convenience sampling
C. Systematic sampling
D. Stratified sampling
B
. What is the formula for calculating the coefficient of determination (r²) in linear regression?
A. r² = (correlation coefficient)²
B. r² = (covariance / (standard deviation of x * standard deviation of y))²
C. r² = (covariance / (standard deviation of x * standard deviation of y))
D. r² = (correlation coefficient) / (standard deviation of x * standard deviation of y)
A
What is the formula for calculating the expected value of a discrete random variable?
A. E(X) = ∑(x * P(x))
B. E(X) = ∑(x / P(x))
C. E(X) = ∑(P(x) / x)
D. E(X) = ∑(1 / P(x))
A
. Which of the following is not a measure of central tendency?
A. Mean
B. Median
C. Mode
D. Standard deviation
D
. What is the range of the following set of data: 5, 7, 9, 11, 13?
A. 6
B. 8
C. 10
D. 12
B
. What is the formula for calculating the sample variance?
A. ∑(x - μ) / n
B. ∑(x - μ)² / n
C. ∑(x - μ) / (n - 1)
D. ∑(x - μ)² / (n - 1)
D
What is the standard deviation of the following set of data: 2, 4, 6, 8, 10?
A. 2.0
B. 2.5
C. 3.0
D. 3.5
C
What is the formula for calculating the z-score of a data point?
A. (x - μ) / σ
B. (x - σ) / μ
C. (μ - x) / σ
D. (σ - x) / μ
A
What is the formula for calculating the confidence interval for a population mean?
A. x̄ ± zσ / √n
B. x̄ ± tσ / √n
C. x̄ ± zσ / n
D. x̄ ± tσ / n
A
. What is the difference between descriptive and inferential statistics?
A. Descriptive statistics is used to make generalizations about a population while inferential statistics is used to summarize data.
B. Descriptive statistics is used to summarize and describe data while inferential statistics is used to make generalizations about a population based on a sample of data.
C. Descriptive statistics and inferential statistics are interchangeable terms.
D. Descriptive statistics and inferential statistics are both used to analyze data, but they serve different purposes.
B
What is a population in statistics?
A. The entire group of individuals or objects that a researcher is interested in studying.
B. A characteristic of a sample, such as the sample mean or standard deviation.
C. A subset of a population that is selected for a study.
D. The range of values that a variable can take.
A
What is a sample in statistics?
A. The entire group of individuals or objects that a researcher is interested in studying.
B. A characteristic of a sample, such as the sample mean or standard deviation.
C. A subset of a population that is selected for a study.
D. The range of values that a variable can take.
C
What is a parameter in statistics?
A. The range of values that a variable can take.
B. The probability of observing a certain value or range of values for a variable.
C. A characteristic of a sample, such as the sample mean or standard deviation.
D. A characteristic of a population, such as the population mean or standard deviation.
D
What is a statistic in statistics?
A. A characteristic of a sample, such as the sample mean or standard deviation.
B. A characteristic of a population, such as the population mean or standard deviation.
C. The probability of observing a certain value or range of values for a variable.
D. The range of values that a variable can take.
A
What is the difference between a parameter and a statistic?
A. A parameter is a characteristic of a sample, while a statistic is a characteristic of a population.
B. A parameter is a characteristic of a population, while a statistic is a characteristic of a sample.
C. A parameter and a statistic are both used to analyze data, but they serve different purposes.
D. A parameter and a statistic are interchangeable terms.
B
What is the mean of a data set?
A. middle value in a data set.
B. The most common value in a data set.
C. The difference between the highest and lowest values in a data set.
D. The sum of all the values in a data set divided by the number of values.
D
What is the median of a data set?
A. The middle value in a data set.
B. The most common value in a data set.
C. The difference between the highest and lowest values in a data set.
D. The sum of all the values in a data set divided by the number of values.
A
What is the mode of a data set?
A. The middle value in a data set.
B. The most common value in a data set.
C. The difference between the highest and lowest values in a data set.
D. The sum of all the values in a data set divided by the number of values.
B
What is the range of a data set?
A. The middle value in a data set.
B. The most common value in a data set.
C. The difference between the highest and lowest values.
D. The sum of all the values in a data set divided by the number of values.
C
What is the variance of a data set?
A. The number of standard deviations from the mean.
B. The average distance of each data point from the mean.
C. The difference between the highest and lowest values in a data set.
D. The sum of the squared deviations from the mean divided by the number of values minus one.
D