What is parameter in statistics mcq
This content was COPIED from BrainMass.com - View the original, and get the already-completed solution here! Show MULTIPLE CHOICE QUESTIONS In the following multiple choice questions, circle the correct answer. 1. A numerical value used as a summary measure for a sample, such as sample mean, is known as a a.
population parameter 2. Since the population size is always larger than the sample size, then the sample statistic a. can never be larger than the population parameter 3. Mu is an example of a a. population parameter 4. The mean of a sample is 5. The sum of the percent frequencies for all classes will always equal a. one 6. In a five number summary, which of the following is not used for data summarization? a. the smallest value 7. Since the mode is the most frequently occurring data value, it a. can never be larger than the mean Exhibit 3-1 Number of Hours Frequency 0 - 9 40 8. Refer to Exhibit 3-1. The class width for this distribution a. is 9 9. Refer to Exhibit 3-1. The number of students working 19 hours or less a. is 40 10. Refer to Exhibit 3-1. The relative frequency of students working 9 hours or less a. is .2 11. Refer to Exhibit 3-1. The cumulative relative frequency for the class of 10 - 19 a. is 90 12. The difference between the largest and the smallest data values is the a. variance 13. Which of the following is not a measure of central location? a. mean 14. If a data set has an even number of observations, the median a. can not be determined a. always greater than zero 16. The value that has half of the observations above it and half the observations below it is called the a. range 17. The most frequently occurring value of a data set is called the a. range
a. a sample 19.. A statistics professor asked students in a class their ages. On the basis of this information, the professor states that the average age of all the students in the university is 21 years. This is an example of a. a census 20. A tabular summary of a set of data showing the fraction of the total number of items in several classes is a a. frequency distribution 21. The standard deviation of a sample of 100 observations equals 64. The variance of the sample equals a. 8 22. The variance of a sample of 81 observations equals 64. The standard deviation of the sample equals a. 0 Exhibit 3-2 5 12 6 8 5 23. Refer to Exhibit 3-2. The median is a. 5 24. Refer to Exhibit 3-2. The mode is a. 5 25. Refer to Exhibit 3-2. The mean is a. 5 Exhibit 3-3 26. Refer to Exhibit 3-3. The variance is a. 80 27. Refer to Exhibit 3-3. The standard deviation is a. 8.944 28. Refer to Exhibit 3-3. The coefficient of variation is a. 72.66% 29. Refer to Exhibit 3-3. The range is a. 1 30. Refer to Exhibit 3-3. The interquartile range is a. 1 Exhibit 3-4 Speed 31. Refer to Exhibit 3-4. The mean is a. 35 32. Refer to Exhibit 3-4. The variance is a. 6.969 33. Refer to Exhibit 3-4. The standard deviation is a. 6.969 34. Which of the following is not a measure of dispersion? a. the range 35. If the variance of a data set is correctly computed with the formula using n - 1 in the denominator, which of the following is true? a. the data set is a sample 36. In computing descriptive statistics from grouped data, a. data values are treated as if they occur at the midpoint of a class 37. The measure of dispersion that is influenced most by extreme values is a. the variance 38. When should measures of location and dispersion be computed from grouped data rather than from individual data values? a. as much as possible since computations are easier 39. The descriptive measure of dispersion that is based on the concept of a deviation about the mean is a. the range 40. For Z =5, state the Chebychev's inequality. Directions: Answer all Questions and please give me a justification on why you chose that answer. Thank you. © BrainMass Inc. brainmass.com November 7, 2022, 5:54 am ad1c9bdddfhttps://brainmass.com/statistics/quantative-analysis-of-data/40-multiple-choice-questions-in-basic-statistics-4804 Attachments
Solution PreviewMULTIPLE CHOICE QUESTIONS In the following multiple choice questions, circle the correct answer. 1. A numerical value used as a summary measure for a sample, such as sample mean, is known as a a. population parameter 2. Since the population size is always larger than the sample size, then the sample statistic a. can never be larger than the population parameter 3. is an example of a a. population parameter 4. The mean of a sample is a. always equal to the mean of the
population 5. The sum of the percent frequencies for all classes will always equal a. one 6. In a five number summary, which of the following is not used for data summarization? a. the smallest value 7. Since the mode is the most frequently occurring data value, it a. can never be larger than the
mean Exhibit 3-1 Number of Hours Frequency 0 - 9
40 8. Refer to Exhibit 3-1. The class width for this distribution a. is 9 9. Refer to Exhibit 3-1. The number of students working 19 hours or less a. is 40 Solution SummaryAnswers and explanations to 40 multiple choice questions in statistics ADVERTISEMENTWhat is statistics Mcq?It is a section of mathematics that manages the collection, interpretation, analysis, and presentation of numerical data. In other words, statistics is a collection of quantitative data.
What represent a population parameter Mcq?Detailed Solution. Explanation: The population mean and standard deviation are two common parameters. In statistics, Greek symbols usually represent population parameters, such as μ (meu) for the mean and σ (sigma) for the standard deviation.
What's the difference between a statistic and a parameter Mcq?The difference between a statistic and a parameter is that statistics describe a sample. A parameter describes an entire population. Therefore, Sampling error is the difference between a sample statistic and the corresponding parameter.
What is the difference between sample statistic and population parameter Mcq?A population parameter is only based on conceptual measurements, but a sample statistic is based on a combination of real and conceptual measurements.
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