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BESC 3010 Posttest 2 Questions and Answers | Latest Update | 2024/2025 | 100% Pass $9.92   Add to cart

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BESC 3010 Posttest 2 Questions and Answers | Latest Update | 2024/2025 | 100% Pass

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BESC 3010 Posttest 2 Questions and Answers | Latest Update | 2024/2025 | 100% Pass What is the main difference between a population parameter and a sample statistic? A population parameter is a characteristic or measure obtained by using all the data from a specific population, while a sam...

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  • November 4, 2024
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  • BESC 3010 Posttest 2
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BESC 3010 Posttest 2 Questions and
Answers | Latest Update | 2024/2025 |
100% Pass
What is the main difference between a population parameter and a sample statistic?


✔✔A population parameter is a characteristic or measure obtained by using all the data from a

specific population, while a sample statistic is a characteristic or measure obtained by using data

from a subset of the population.




How does the concept of sampling error relate to survey results?


✔✔Sampling error refers to the discrepancy between the sample statistic and the true population

parameter, highlighting the potential inaccuracies that can arise when making inferences from a

sample.




What is a frequency distribution, and how is it useful in statistics?


✔✔A frequency distribution is a summary of how often each value occurs in a dataset, allowing

for a clearer understanding of the data’s distribution and helping identify patterns or trends.




Explain what a skewed distribution indicates about data.




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, ✔✔A skewed distribution indicates that the data is not symmetrical; if skewed right (positive

skew), most values are concentrated on the left, while if skewed left (negative skew), most

values are concentrated on the right.




How can the interquartile range (IQR) be used to identify outliers?


✔✔The interquartile range (IQR) measures the middle 50% of a dataset, and any value that lies

beyond 1.5 times the IQR above the third quartile or below the first quartile is considered an

outlier.




What is the significance of using a paired sample t-test?


✔✔A paired sample t-test compares means from the same group at different times or under

different conditions, assessing whether the average difference is statistically significant.




How do confidence intervals provide insight into data reliability?


✔✔Confidence intervals offer a range of values likely to contain the population parameter,

indicating the precision of the sample estimate and how much uncertainty is associated with it.




What does the term "null hypothesis" represent in hypothesis testing?




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