题目
题目

Data Science Principles (202504-LLecture)

单项选择题

Assertion: EDA helps in understanding the data’s characteristics. Reason: Visualizing data is optional in EDA and does not significantly contribute to data understanding.

选项
A.a. Both assertion and reason are false.
B.b. The assertion is true, but the reason is false.
C.c. Both assertion and reason are true, but the reason is not the correct explanation of the assertion.
D.d. Both assertion and reason are true, and the reason is the correct explanation of the assertion.
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标准答案
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思路分析
The question presents an assertion and a reason about Exploratory Data Analysis (EDA). Option a: Both assertion and reason are false. This is inconsistent with common understanding of EDA, since the assertion that EDA helps in understanding data characteristics is generally true, making this option incorrect......Login to view full explanation

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类似问题

A random sample ( x , y ) was collected. The results are listed below: ######################### x<-( 1.77 , 2.14 , 1.73 , 3.3 , 2.61 , 0.41 , 2.06 , 2.18 , 2.31 , 0.89 , 3.63 , 2.57 , 0.75 , 0.41 , 3.08 , 2.16 , 2.15 , 2.96 , 2.46 , 2.6 , 3.05 , 2.01 , 2.17 , 0.37 , 2.59 , 1.6 , 1.9 , 0.75 , 1.93 , 2.52 , 3.15 , 2.21 , 2.07 , 2.71 , 0.65 , 2.41 , 1.81 , 2.21 , 3.28 , 2.69 , 2.81 , 1.19 , 3.44 , 2.71 , 1.96 , 1.76 , 1.27 , 2.66 , 2.55 , 3.58 , 2.12 , 1.48 , 2.45 , 1.49 , 3.98 , 4.25 , 1.18 , 1.41 , 3.19 , 0.95 , 3.87 , 2.09 , 2.07 , 1.58 , 1.67 , 1.06 , 0.56 , 3.98 , 2.2 , 3.78 , 1.26 , 1.33 , 2.3 , 1.23 , 1.08 , 2.27 , 1.22 , 0.96 , 1.55 , 0.89 , 2.12 , 1.39 , 2.91 , 1.41 , 2.25 , 2.37 , 2.19 , 2.12 , 2.54 , 2.69 , 1.62 , 2.85 , 3.37 , 2.19 , 3.98 , 3.01 , 0.17 , 2.01 , 0.73 , 1.78 ) ######################### y <-( 0.15 , 1.18 , -0.18 , 2.46 , 0.96 , 1.17 , 1.78 , 2.09 , 1.69 , 1.58 , 1.99 , 1.11 , 1.18 , -1.24 , 1.87 , 0.76 , 0.83 , 1.68 , 1.96 , 1.43 , 1.54 , 2.35 , 0.96 , -0.81 , 1.49 , 1.31 , 0.83 , -0.29 , 0.25 , 1.2 , 2.21 , 0.62 , 1.6 , 0.19 , -0.04 , -0.13 , 0.51 , 0.68 , 1.63 , 1.63 , -0.1 , 1.37 , 0.77 , 1.25 , -0.15 , 0.01 , 2.36 , 1.67 , 0.26 , 0.94 , 1.57 , 0.46 , 1.14 , -0.44 , 1.5 , 2.18 , 1.18 , -0.21 , 0.8 , 1.82 , 3.29 , 0.85 , 2.13 , 1.47 , 0.05 , 2.27 , -0.69 , 1.56 , 1.06 , 2.99 , 2.57 , 0.44 , 1.76 , 0.15 , -0.25 , 1.24 , 1.01 , 2.04 , 1.58 , 1.09 , -0.11 , 1.37 , 2.13 , -1.05 , 1.77 , 1.21 , 2.65 , 0.35 , 1.11 , 0.77 , 0.44 , 2.25 , 1.64 , 2.02 , 1.77 , 0.96 , 0.62 , 0 , 0.15 , 0.4 ) ######################### Which of the following is true about the data set?   ( Hint: Look at some graphs. )

Which of the following is NOT a goal of EDA?

Sequence the steps in EDA from the initial stage to the final stage:

Assertion: EDA helps in understanding the data’s characteristics. Reason: Visualizing data is optional in EDA and does not significantly contribute to data understanding.

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