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BESC 3010 Exam 1 Questions and Answers | Latest Version | 2024/2025 | Rated A+
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BESC 3010 Exam 1 Questions and Answers | Latest Version | 2024/2025 | Rated A+ How can data be transformed to meet the assumptions of a statistical test? Data can be transformed through methods such as logarithmic, square root, or inverse transformations to stabilize variance or achieve no...

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  • November 4, 2024
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BESC 3010 Exam 1 Questions and
Answers | Latest Version | 2024/2025 |
Rated A+
How can data be transformed to meet the assumptions of a statistical test?


✔✔Data can be transformed through methods such as logarithmic, square root, or inverse

transformations to stabilize variance or achieve normality for analysis.




What is the importance of random sampling in research?


✔✔Random sampling ensures that every individual in a population has an equal chance of being

selected, minimizing bias and enhancing the generalizability of research findings.




What does it mean to say that data is "homogeneous"?


✔✔Homogeneous data refers to a set of values that are similar or consistent in nature, making it

suitable for certain statistical analyses that assume uniformity across the data.




What is the role of outliers in statistical analysis?


✔✔Outliers can significantly affect the results of statistical analyses by skewing mean values

and increasing variability, prompting further investigation to determine if they should be

included or excluded from analysis.

1

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


✔✔A p-value indicates the probability of obtaining results at least as extreme as those observed,

assuming the null hypothesis is true, with lower p-values suggesting stronger evidence against

the null hypothesis.




What is the main purpose of inferential statistics?


✔✔Inferential statistics aims to make predictions or generalizations about a population based on

a sample, helping researchers draw conclusions and test hypotheses.




How does one differentiate between qualitative and quantitative data?


✔✔Qualitative data describes characteristics or categories, while quantitative data represents

numerical values that can be measured or counted.




What is the significance of a confidence interval in statistics?


✔✔A confidence interval provides a range of values, derived from a sample, within which the

true population parameter is expected to fall, offering a measure of uncertainty around a point

estimate.




2

, What is the central limit theorem, and why is it important?


✔✔The central limit theorem states that the distribution of sample means approaches a normal

distribution as the sample size increases, regardless of the original population's distribution,

allowing for more reliable statistical inferences.




How do you interpret a correlation coefficient?


✔✔A correlation coefficient quantifies the strength and direction of a relationship between two

variables, with values ranging from -1 to 1, where 0 indicates no correlation, and values closer to

-1 or 1 indicate a stronger relationship.




What is the purpose of a scatter plot in data analysis?


✔✔A scatter plot visually represents the relationship between two quantitative variables, helping

to identify patterns, trends, and potential outliers in the data.




What does the term "type I error" refer to in hypothesis testing?


✔✔A type I error occurs when the null hypothesis is incorrectly rejected when it is true, leading

to a false positive conclusion.




What is the difference between parametric and non-parametric tests?


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