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Vista previa 3 fuera de 26 páginas
Examen

D467 Wgu Exploring Data 152 10

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Vista previa 3 fuera de 26 páginas

D467 WGU EXPLORING DATA 152 10

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1. Which of the following is not a measure of central tendency?
A. Mean
B. Median
C. Mode
D. Range
Answer: D) Range
Rationale: Measures of central tendency include the mean, median, and
mode, which indicate the center or typical value of a dataset. The range,
however, is a measure of variability.


2. What is a key difference between a population and a sample?
A. A population includes all members of a group, while a sample is a
subset of that group.
B. A sample includes all members of a group, while a population is a
subset.
C. A population is always smaller than a sample.
D. A sample is always more accurate than a population.
Answer: A) A population includes all members of a group, while a
sample is a subset of that group.
Rationale: A population is the entire group being studied, whereas a
sample is a smaller, representative subset of that group.

,3. In which type of chart is the relationship between two variables best
visualized?
A. Pie chart
B. Scatter plot
C. Histogram
D. Box plot
Answer: B) Scatter plot
Rationale: A scatter plot is used to visualize the relationship between
two continuous variables, with one variable plotted on each axis. It
helps identify correlations or patterns in data.


4. What type of graph would be most appropriate for displaying the
frequency of different categories in a dataset?
A. Histogram
B. Line chart
C. Bar chart
D. Scatter plot
Answer: C) Bar chart
Rationale: A bar chart is ideal for displaying the frequency of categories
in categorical data. The height of each bar represents the count of each
category.

, 5. Which of the following statistical measures is affected by extreme
outliers?
A. Median
B. Mode
C. Range
D. Interquartile range
Answer: C) Range
Rationale: The range is the difference between the maximum and
minimum values in a dataset, so it can be heavily influenced by extreme
outliers.


6. Which of the following is true about skewed distributions?
A. A positively skewed distribution has a long tail on the left.
B. A negatively skewed distribution has a long tail on the right.
C. A positively skewed distribution has a long tail on the right.
D. Skewed distributions always follow a normal distribution.
Answer: C) A positively skewed distribution has a long tail on the
right.
Rationale: In a positively skewed distribution, the tail extends toward
higher values, making the mean greater than the median.


7. When performing a regression analysis, which of the following is the
independent variable?

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Subido en
12 de febrero de 2025
Número de páginas
26
Escrito en
2024/2025
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