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Python Institute PCED-30-02 Exam Syllabus Topics:

Section	Objectives
Topic 1: Basic Statistics for Data Analysis	- Descriptive statistics 1. Variance and standard deviation 2. Mean, median, mode
Topic 2: Data Handling and Processing with Python	- Working with data structures 1. Lists, tuples, dictionaries 2. Iterating and transformations - Data manipulation libraries 1. NumPy basics 2. Pandas fundamentals
Topic 3: Python Programming Fundamentals	- Basic syntax and data types 1. Variables and operators 2. Control flow basics
Topic 4: Data Analysis and Visualization	- Data cleaning and preprocessing 1. Data transformation techniques 2. Missing values handling - Data visualization 1. Plot interpretation 2. Matplotlib basics

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Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions (Q29-Q34):

NEW QUESTION # 29
A healthcare provider analyzes patient records to determine that appointment cancellations spike during weather alerts and flu season.
What type of analytics is this?

A. Diagnostic analytics - it identifies reasons behind patterns in patient behavior.
B. Descriptive analytics - it reports appointment numbers across past seasons.
C. Prescriptive analytics - it automates patient rescheduling based on cancellation patterns.
D. Predictive analytics - it uses weather and illness trends to forecast future cancellations.

Answer: A

Explanation:
It examines existing data to understand why cancellations increase, identifying underlying causes such as weather alerts and flu season, which characterizes diagnostic analytics.

NEW QUESTION # 30
You are reviewing a report that compares the number of weekly client meetings and project completion rates across teams. The table below summarizes the data for each team:

Which statement best describes the data shown above? Select the best answer.

A. "Gamma and Omega were outliers that inflated the meeting average, but most teams finished about 3 projects per month."
B. "Project completion numbers were nearly identical across all teams, averaging 3.25 per month."
C. The more meetings a team had, the more projects they finished, especially in high-performing teams like Omega and Delta."
D. "Teams with 5-6 weekly meetings tended to complete more projects than those with very high or very low meeting counts."

Answer: D

Explanation:
Teams with moderate meeting counts around 5-6 per week (such as Alpha, Gamma, and Theta) completed among the highest numbers of projects, while teams with very high or very low meeting counts tended to complete fewer projects, indicating that moderate meeting frequency is associated with higher project completion.

NEW QUESTION # 31
A programmer writes a script to test operator precedence using the expression 3 + 4 * 2 ** 2. The goal is to evaluate the result correctly based on Python's operator hierarchy rules. What result should the script produce?

A. 0
B. 1
C. 2
D. 3

Answer: D

Explanation:
Exponentiation is evaluated first, so 2 ** 2 equals 4. Then multiplication 4 * 4 equals 16. Finally, addition is performed: 3 + 16 results in 19.

NEW QUESTION # 32
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(math.ceil(statistics.mean(steps)))
print(statistics.median(steps))
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(round(math.mean(steps)))
print(math.median(steps))
import statistics

Answer: B

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 # 33
You are creating a presentation slide to communicate findings about student stress levels across four categories over a six-month period. You include the following line graph in your presentation:

Your goal is to help your audience clearly understand trends in stress levels over time.
What is the highest problem with this visual presentation? Select the best answer.

A. The months should be replaced with week numbers to provide more detailed insight.
B. The lines are too light and similar in color, making it difficult to distinguish between trends.
C. The graph doesn't explain what each stress level means or show exact values for each month, which limits interpretation.
D. The font used in the chart is hard to read; using larger, uppercase text would improve clarity.
E. The chart should be in 3D format to show depth and highlight differences more clearly.

Answer: B

Explanation:
The lines are very light and visually similar, making it difficult to clearly distinguish between the different stress level trends, which directly reduces the effectiveness of the visualization in communicating patterns over time.

NEW QUESTION # 34
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