BESC 3010 CH 1. QUESTIONS AND ANSWERS | LATEST VERSION | 2024/2025 | 100% PASS
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Module
BESC 3010 CH 1.
Institution
BESC 3010 CH 1.
BESC 3010 CH 1. QUESTIONS AND
ANSWERS | LATEST VERSION |
2024/2025 | 100% PASS
What are the main features of a normal distribution?
A normal distribution is symmetrical, unimodal, bell-shaped, and follows the empirical rule,
where about 68% of data falls within one standard deviation of th...
BESC 3010 CH 1. QUESTIONS AND
ANSWERS | LATEST VERSION |
2024/2025 | 100% PASS
What are the main features of a normal distribution?
✔✔A normal distribution is symmetrical, unimodal, bell-shaped, and follows the empirical rule,
where about 68% of data falls within one standard deviation of the mean.
Explain the term “range” in statistics.
✔✔Range is the difference between the maximum and minimum values in a dataset, providing a
measure of the spread or variability of data.
What does it mean for data to be “skewed”?
✔✔Skewed data is asymmetrical, with values leaning more towards one side of the mean, either
positively (right-skewed) or negatively (left-skewed).
What is the median, and when is it useful?
✔✔The median is the middle value in an ordered dataset, useful for summarizing skewed data or
when outliers may affect the mean.
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, What is the mean, and why is it often used as a measure of central tendency?
✔✔The mean is the average of all data points, calculated by summing values and dividing by the
number of observations. It’s commonly used as it provides a central summary of the data.
What is a mode in a dataset?
✔✔The mode is the value that appears most frequently in a dataset, useful for describing
categorical data or identifying common occurrences.
How is a sample mean different from a population mean?
✔✔A sample mean is calculated from a subset of the population and used to estimate the
population mean, which is the average of all values in the entire population.
What is the difference between descriptive and inferential statistics?
✔✔Descriptive statistics summarize and describe the features of a dataset, while inferential
statistics use sample data to make predictions or inferences about a larger population.
Explain what a population is in statistics.
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