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Intro to Statistics- Final Exam Questions and Answers | Latest Version | 2024/2025 | Graded A+ $10.27   Add to cart

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Intro to Statistics- Final Exam Questions and Answers | Latest Version | 2024/2025 | Graded A+

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Intro to Statistics- Final Exam Questions and Answers | Latest Version | 2024/2025 | Graded A+ What is the purpose of calculating the mean in a data set? The mean provides the average value of a data set, summarizing the central tendency of the data. Explain the difference between popu...

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  • August 21, 2024
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  • 2024/2025
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  • Intro to Statistics-
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Intro to Statistics- Final Exam Questions
and Answers | Latest Version | 2024/2025
| Graded A+
What is the purpose of calculating the mean in a data set?


✔✔ The mean provides the average value of a data set, summarizing the central tendency of the

data.




Explain the difference between population and sample in statistics.


✔✔ A population includes all members of a defined group, while a sample is a subset of the

population used to make inferences about the whole group.




What is a confidence interval, and what does it represent?


✔✔ A confidence interval estimates the range within which a population parameter is likely to

fall, with a specified level of certainty.




Describe the concept of standard deviation and its significance.


✔✔ Standard deviation measures the dispersion or spread of data points around the mean,

indicating variability within a data set.




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, What does a p-value represent in hypothesis testing?


✔✔ The p-value indicates the probability of observing the data, or something more extreme,

assuming the null hypothesis is true.




Explain the purpose of a scatter plot in statistical analysis.


✔✔ A scatter plot visualizes the relationship between two quantitative variables, helping to

identify trends or correlations.




What is the null hypothesis, and why is it important in hypothesis testing?


✔✔ The null hypothesis is a statement that there is no effect or no difference, serving as a

baseline to test if observed data provides enough evidence to reject it.




Define type I error and type II error in the context of hypothesis testing.


✔✔ A type I error occurs when the null hypothesis is incorrectly rejected, while a type II error

occurs when the null hypothesis is incorrectly accepted.




What is the median, and how is it calculated?


✔✔ The median is the middle value of a data set when it is ordered, or the average of the two

middle values if the data set has an even number of observations.

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