EXST 2201 - Exam 1 Questions and Answers Graded A+
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EXST 2201 - Exam 1 Questions and
Answers Graded A+
What is the purpose of statistical analysis in research?
The purpose of statistical analysis is to summarize, interpret, and draw conclusions from data
to make informed decisions based on empirical evidence.
How do descriptive statistics...
EXST 2201 - Exam 1 Questions and
Answers Graded A+
What is the purpose of statistical analysis in research?
✔✔The purpose of statistical analysis is to summarize, interpret, and draw conclusions from data
to make informed decisions based on empirical evidence.
How do descriptive statistics differ from inferential statistics?
✔✔Descriptive statistics summarize and describe the main features of a dataset, while inferential
statistics use sample data to make predictions or inferences about a larger population.
What is the role of a hypothesis in statistical testing?
✔✔A hypothesis serves as a proposed explanation or prediction that can be tested through data
collection and statistical analysis.
What is a null hypothesis?
✔✔A null hypothesis states that there is no significant effect or relationship between variables,
serving as a starting point for statistical testing.
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,How can you determine the level of significance in a study?
✔✔The level of significance can be determined by setting a threshold (commonly 0.05) which
indicates the probability of rejecting the null hypothesis when it is true.
What is the difference between a sample and a population?
✔✔A sample is a subset of individuals or observations taken from a larger group (population)
for the purpose of statistical analysis.
What does it mean for data to be normally distributed?
✔✔Data is normally distributed when it follows a bell-shaped curve, indicating that most
observations cluster around the mean with symmetrical tails.
How can outliers affect statistical analysis?
✔✔Outliers can skew results, distort statistical measures, and affect the overall validity of
conclusions drawn from the data.
What are measures of central tendency?
✔✔Measures of central tendency include the mean, median, and mode, which summarize a set
of data points to represent a typical value.
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,How is the mean calculated?
✔✔The mean is calculated by adding all values in a dataset and dividing by the number of
observations.
What is the median, and how is it determined?
✔✔The median is the middle value of a dataset when arranged in ascending or descending order,
providing a measure that is less affected by extreme values.
What does the mode represent in a dataset?
✔✔The mode represents the value that appears most frequently in a dataset, highlighting the
most common observation.
What are measures of variability?
✔✔Measures of variability, such as range, variance, and standard deviation, quantify how spread
out or dispersed the data points are within a dataset.
How is standard deviation interpreted in a dataset?
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, ✔✔Standard deviation indicates the average distance of data points from the mean, providing
insights into the data's variability or consistency.
What is the purpose of creating a frequency distribution?
✔✔A frequency distribution organizes data into categories or intervals to show how often each
value occurs, making it easier to analyze and visualize.
What is a histogram, and how is it used in statistics?
✔✔A histogram is a graphical representation of the frequency distribution of a dataset, allowing
for a visual assessment of data distribution and patterns.
What is a correlation coefficient?
✔✔A correlation coefficient measures the strength and direction of a linear relationship between
two variables, ranging from -1 to +1.
How can correlation be misinterpreted?
✔✔Correlation does not imply causation; two variables may be correlated without one directly
affecting the other, leading to potential misinterpretations of relationships.
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