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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Objectives
Basic Statistics for Data Analysis	- Descriptive statistics 1. Variance and standard deviation 2. Mean, median, mode
Data Handling and Processing with Python	- Data manipulation libraries 1. Pandas fundamentals 2. NumPy basics - Working with data structures 1. Lists, tuples, dictionaries 2. Iterating and transformations
Data Analysis and Visualization	- Data visualization 1. Plot interpretation 2. Matplotlib basics - Data cleaning and preprocessing 1. Data transformation techniques 2. Missing values handling
Python Programming Fundamentals	- Basic syntax and data types 1. Control flow basics 2. Variables and operators

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q32-Q37):

NEW QUESTION # 32
You have a list of test scores, where each entry includes a student name and a score. Some students appear more than once. You want to compute the average score for each student and store the results in a dictionary. Here's the partial code block:

Which code correctly replaces the # MISSING CODE comment to calculate the average score for each student? Select the best answer.

Answer: A

Explanation:
It iterates through each record, extracts the name and score, and uses dictionary .get() to accumulate total scores and counts per student safely, initializing missing keys to zero. This correctly enables calculation of each student's average afterward.

NEW QUESTION # 33
You are given the following list of daily step counts:
steps = [8230, 9020, 7640, 8760, 10020, 2546, 9817]
Your task is to calculate:
- the standard deviation of the step counts,
- the average rounded up to the nearest whole number, and
- the median of the step counts.
Which code snippet correctly performs all three tasks? Select the best answer.
import statistics

A. import math
print(math.stdev(steps))
print(statistics.mean(steps))
print(statistics.median(steps))
import statistics
B. import math
print(statistics.stdev(steps))
print(round(math.mean(steps)))
print(math.median(steps))
import statistics
C. import math
print(statistics.variance(steps))
print(math.ceil(sum(steps) / len(steps)))
print(math.floor(statistics.median(steps)))
import statistics
D. import math
print(statistics.stdev(steps))
print(math.ceil(statistics.mean(steps)))
print(statistics.median(steps))

Answer: D

Explanation:
It uses statistics.stdev() to compute the standard deviation, statistics.mean() to compute the average and math.ceil() to round it up to the nearest whole number, and statistics.median() to compute the median.

NEW QUESTION # 34
Given the following string:
text = "Report2024Final"
Which of the following statements are entirely correct? (Choose two.)

A. text.capitalize()changes Report2024Finalto REPORT2024FINAL, and text.find("2024")returns 6
B. text.capitalize()changes Finalto lowercase, and text.find ("L")returns True
C. text.isalpha()returns True, and text.find ("2024")returns True
D. text[6:8].isdigit()returns True, and text.endswith("Final")returns True
E. text[0:6].isalpha() returns True, and text.find("2024") returns 6
F. text[-6].isdigit() returns True, text.startswith("r") returns True

Answer: B,D,E

Explanation:
The slice text[6:8] is "20", which contains only digits, and the string ends with "Final". The first six characters are "Report", which are all alphabetic, and "2024" begins at index 6.

NEW QUESTION # 35
A program uses while False: followed by print statements inside the loop. The developer expects output. What will actually happen during execution?

A. Prints once
B. Error
C. No execution
D. Infinite loop

Answer: C

Explanation:
The condition False is evaluated before entering the loop. Since it is always false, the loop body is never executed, and no output is produced.

NEW QUESTION # 36
How do the analysis and visualization stages of the data lifecycle typically work together?

A. Analysis identifies patterns and insights in processed data, which are then communicated through visualizations for informed decision-making.
B. Analysis summarizes archived data, and visualization transforms it into structured tables for storage.
C. Analysis retrieves raw inputs from dashboards, while visualization uses that input to clean the data.
D. Analysis produces charts and graphs, while visualization interprets the data to detect outliers.

Answer: A

Explanation:
Analysis involves examining processed data to uncover patterns, trends, and insights, and visualization presents those findings in graphical form so stakeholders can clearly understand and act on the results.

NEW QUESTION # 37
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