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BESC 3010 CH 4 QUESTIONS AND ANSWERS | 2024/2025 | GRADED A+ CA$13.73   Add to cart
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BESC 3010 CH 4 QUESTIONS AND ANSWERS | 2024/2025 | GRADED A+
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BESC 3010 CH 4 QUESTIONS AND ANSWERS | 2024/2025 | GRADED A+ What are the key features of a box plot? A box plot visually summarizes a data set's central tendency, spread, and outliers by displaying the median, quartiles, and extreme values as a rectangular box with "whiskers." How do you ...

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  • November 4, 2024
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  • 2024/2025
  • Exam (elaborations)
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BESC 3010 CH 4 QUESTIONS AND
ANSWERS | 2024/2025 | GRADED A+
What are the key features of a box plot?


✔✔A box plot visually summarizes a data set's central tendency, spread, and outliers by

displaying the median, quartiles, and extreme values as a rectangular box with "whiskers."




How do you interpret skewness in a data distribution?


✔✔Skewness indicates the asymmetry of a distribution; positive skew means more data points

are concentrated on the left, while negative skew suggests concentration on the right.




What is the role of sample size in statistical analysis?


✔✔Sample size affects the reliability of statistical conclusions; larger samples tend to provide

more accurate estimates of population parameters due to reduced sampling error.




How can a frequency polygon enhance data visualization?


✔✔A frequency polygon connects the midpoints of a histogram's bars with lines, allowing for a

clear visual representation of the data distribution and facilitating comparisons between multiple

data sets.




1

, What does the term "standard error" mean in statistics?


✔✔Standard error measures the accuracy of a sample mean compared to the actual population

mean, reflecting how much the sample mean is expected to vary across different samples.




What is the significance of the empirical rule in statistics?


✔✔The empirical rule states that in a normal distribution, approximately 68% of data falls

within one standard deviation of the mean, 95% within two standard deviations, and 99.7%

within three, helping to understand data variability.




How does variance relate to data spread?


✔✔Variance quantifies the average squared deviation of each data point from the mean,

providing insight into how much individual data points differ from the overall average.




What is the difference between a population parameter and a sample statistic?


✔✔A population parameter is a numerical characteristic of an entire population, while a sample

statistic is calculated from a subset of that population, used to estimate the parameter.




How do you determine if data is normally distributed?




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