BESC 3010 Quizzes and Posttests Chapters 1-8 | Latest Version | 2024/2025 | Already Passed
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BESC 3010
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BESC 3010
BESC 3010 Quizzes and Posttests
Chapters 1-8 | Latest Version | 2024/2025
| Already Passed
Explain the concept of "independent events" in probability.
Independent events are events where the occurrence of one does not affect the probability of
the other, meaning they are unrelated.
What...
BESC 3010 Quizzes and Posttests
Chapters 1-8 | Latest Version | 2024/2025
| Already Passed
Explain the concept of "independent events" in probability.
✔✔Independent events are events where the occurrence of one does not affect the probability of
the other, meaning they are unrelated.
What is the purpose of using a p-value in hypothesis testing?
✔✔A p-value helps determine the strength of evidence against the null hypothesis, with lower
values indicating stronger evidence to reject it.
How do you interpret a box plot with a long upper whisker?
✔✔A long upper whisker suggests a right-skewed distribution, indicating the presence of higher
values or potential outliers on the upper end.
What is an alternative hypothesis?
✔✔The alternative hypothesis proposes an effect or difference, suggesting that there is a
statistically significant relationship or deviation from the null hypothesis.
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,Why might a researcher choose a two-tailed test over a one-tailed test?
✔✔A two-tailed test is chosen when there’s interest in detecting differences in both directions
(higher or lower), rather than in just one specified direction.
What does the range of a dataset indicate?
✔✔The range shows the difference between the highest and lowest values in a dataset, giving a
sense of the overall spread of the data.
How does a larger sample size impact the reliability of statistical results?
✔✔A larger sample size increases reliability by reducing sampling error and providing a more
accurate estimate of the population parameter.
What is meant by "non-response bias"?
✔✔Non-response bias occurs when certain individuals do not participate in a study, leading to
results that may not represent the entire population accurately.
What does it mean if data is “normally distributed”?
2
,✔✔A normally distributed dataset forms a symmetric, bell-shaped curve where most values
cluster around the mean, with fewer values as you move away in either direction.
How does a histogram differ from a bar chart?
✔✔A histogram represents the distribution of numerical data with continuous intervals, while a
bar chart displays categorical data with separated bars.
Explain what is meant by "statistical inference."
✔✔Statistical inference uses data from a sample to make generalizations or predictions about a
population, often through hypothesis testing or confidence intervals.
What is the median, and how is it calculated?
✔✔The median is the middle value in a sorted dataset. If there’s an odd number of values, it’s
the central number; if even, it’s the average of the two middle numbers.
What does it mean if a dataset is "skewed right"?
✔✔A right-skewed dataset has a longer tail on the right side, meaning there are more high-value
outliers. The mean is usually greater than the median in right-skewed distributions.
3
, Why might a researcher use a scatter plot?
✔✔A scatter plot shows the relationship between two quantitative variables, helping researchers
visually assess correlation or trends.
What does a correlation coefficient of -0.8 suggest about two variables?
✔✔A correlation coefficient of -0.8 suggests a strong negative relationship, meaning as one
variable increases, the other tends to decrease.
What is the purpose of a t-test?
✔✔A t-test assesses whether the means of two groups are statistically different from each other,
helping determine if observed differences could be due to chance.
Explain what a residual is in the context of regression analysis.
✔✔A residual is the difference between an observed value and the predicted value from a
regression model. It indicates how well the model fits the data.
What does it mean if the standard deviation of a dataset is zero?
✔✔A standard deviation of zero means there is no variability; all data points are identical and
equal to the mean.
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