Skip to main content
Sign in Register
Question no. 93728

Which metric can never take a negative value (less than zero)?

Select your answer for: Which metric can never take a negative value (less than zero)?
Show answer

Answer: B. Geometric Mean

Explanation

The geometric mean relies strictly on positive numbers because negative roots yield complex or undefined values. Calculating this metric requires multiplying values together before extracting the nth root of that product. Negative numbers inserted into even roots fail to produce standard real numbers within the dataset domain. A geometric mean measures central tendency by utilizing the product of values rather than their sum. This mathematical statistic is extremely useful when analyzing growth rates and financial investment returns. Taking roots of negative values creates imaginary numbers that do not fit standard descriptive statistics.

Financial analysts frequently apply geometric means to calculate compound annual growth rates over long periods. Researchers studying population growth percentages often rely on this specific statistical calculation for accuracy. Comparing ratios and proportional data becomes much more reliable when utilizing this specific statistical metric. The arithmetic mean can easily accept negative numbers without encountering any mathematical undefined state. Medians simply sort numerical values, allowing negative integers to sit comfortably within the sorted sequence. Modes represent the most frequent observations, which can completely include negative data points without issue.

Subject
Mathematics
Category
Statistics
Topic
—
Difficulty
medium

Related questions

Q1. Which of the following lacks reliance on all observations _________?

Select your answer for: Which of the following lacks reliance on all observations _________?
Show answer

Answer: D. Mode

The mode solely reflects the most frequently occurring value within a given dataset. Extreme values or minority observations are completely ignored during mode calculation. Because frequency dictates the mode, unrepresen...

Q2. Which option is not a prerequisite for a binomial distribution ?

Select your answer for: Which option is not a prerequisite for a binomial distribution ?
Show answer

Answer: D. Equally likely outcomes

Binomial distributions require trials to have two outcomes but not necessarily equal probabilities. The probability of success p can be any value between zero and one inclusively. Equally likely outcomes represent a spec...

Q3. Which measure fails to incorporate all observations in its calculation ?

Select your answer for: Which measure fails to incorporate all observations in its calculation ?
Show answer

Answer: E. Mode

The mode is simply the most frequently occurring value in any given dataset. Because it only counts occurrences, the exact magnitude of other numbers is ignored entirely. Therefore, extreme data points do not influence t...

Q4. Which statistical measure does not use every observation ?

Select your answer for: Which statistical measure does not use every observation ?
Show answer

Answer: E. Mode

The mode identifies only the most frequent data point without calculating all values. Frequency counts determine the mode rather than numerical values of every observation. Entire portions of the dataset can change compl...

Q5. Which branch of statistics handles organizing, summarizing, and presenting data?

Select your answer for: Which branch of statistics handles organizing, summarizing, and presenting data?
Show answer

Answer: B. Descriptive Statistics

Descriptive statistics focus on organizing summarizing and presenting data clearly. Techniques include charts graphs and summary metrics like mean and standard deviation. This branch summarizes past observed data without...

Q6. Which property holds true for the cumulative distribution function (CDF) of a random variable X?

Select your answer for: Which property holds true for the cumulative distribution function (CDF) of a random variable X?
Show answer

Answer: B. From smallest upto specific value of x

By definition, cumulative distribution functions accumulate probability values continuously from the left side. This means they sum up all likelihoods starting from the absolute smallest possible outcome. The calculation...