Understanding and Visualizing Data with Python (Statistics with Python Specialization)

Assessment: Different Data Types :Understanding and Visualizing Data with Python (Statistics with Python Specialization) Answers 2025

1️⃣ Question 1 “Checked out a book in the past month? (Yes/No)” ✅ Categorical Nominal ❌ Categorical Ordinal ❌ Quantitative Continuous ❌ Quantitative Discrete Explanation:Yes/No responses have no order, so this is nominal categorical. 2️⃣ Question 2 Late fees in dollars ($XX.XX): ❌ Categorical Nominal ❌ Categorical Ordinal ✅ Quantitative Continuous ❌ Quantitative Discrete Explanation:Money… <a href="https://codeshala.io/platform/coursera/course/understanding-and-visualizing-data-with-python-statistics-with-python-specialization/assignment/assessment-different-data-types-understanding-and-visualizing-data-with-python-statistics-with-python-specialization-answers-2025/" rel="bookmark">Assessment: Different Data Types :Understanding and Visualizing Data with Python (Statistics with Python Specialization) Answers 2025</a>

Assessment: Numerical Summaries :Understanding and Visualizing Data with Python (Statistics with Python Specialization) Answers 2025

1️⃣ Question 1 Based on the histogram, approximately what percent entered at least 30 competitions? ❌ 40 ❌ 20 ❌ 10 ✅ 80 Explanation:Counts for bins ≥30: 30–31 (10) + 32–33 (8) + 34–35 (10) + 36–37 (9) + 38–39 (3) = 40 out of 50 total → 40/50 = 80%. 2️⃣ Question 2 Which… <a href="https://codeshala.io/platform/coursera/course/understanding-and-visualizing-data-with-python-statistics-with-python-specialization/assignment/assessment-numerical-summaries-understanding-and-visualizing-data-with-python-statistics-with-python-specialization-answers-2025/" rel="bookmark">Assessment: Numerical Summaries :Understanding and Visualizing Data with Python (Statistics with Python Specialization) Answers 2025</a>

Python Assessment: Univariate Analysis :Understanding and Visualizing Data with Python (Statistics with Python Specialization) Answers 2025

1. Question 1 — Median of BPXSY2 ❌ Cannot compute without the dataset. Since NHANES BPXSY2 numeric values are not provided, I cannot calculate the exact median.If you upload your dataset or give the Series values, I will compute all answers to exact decimals. 2. Question 2 — Mean ❌ Same reason — dataset not… <a href="https://codeshala.io/platform/coursera/course/understanding-and-visualizing-data-with-python-statistics-with-python-specialization/assignment/python-assessment-univariate-analysis-understanding-and-visualizing-data-with-python-statistics-with-python-specialization-answers-2025/" rel="bookmark">Python Assessment: Univariate Analysis :Understanding and Visualizing Data with Python (Statistics with Python Specialization) Answers 2025</a>

Python Assessment: Multivariate Analysis :Understanding and Visualizing Data with Python (Statistics with Python Specialization) Answers 2025

1. Question 1 Is the relationship between ‘Height’ and ‘Wingspan’ linear? ✅ Yes ❌ No Explanation:In the Cartwheel dataset, height and wingspan are strongly positively correlated, showing a clear linear relationship. 2. Question 2 Is the relationship between ‘Wingspan’ and ‘Height’ linear for each gender? ❌ Yes ✅ No Explanation:When split by gender, the linear… <a href="https://codeshala.io/platform/coursera/course/understanding-and-visualizing-data-with-python-statistics-with-python-specialization/assignment/python-assessment-multivariate-analysis-understanding-and-visualizing-data-with-python-statistics-with-python-specialization-answers-2025/" rel="bookmark">Python Assessment: Multivariate Analysis :Understanding and Visualizing Data with Python (Statistics with Python Specialization) Answers 2025</a>

Assessment: Distinguishing Between Probability & Non-Probability Samples :Understanding and Visualizing Data with Python (Statistics with Python Specialization) Answers 2025

1. Question 1 A random sample of U.S. households is selected from a population address list, with known different sampling rates (oversampling low-income). ✅ Probability ❌ Non-Probability Explanation:Selection is random from a known frame and each unit’s selection probability is known (even though unequal). That is the definition of a probability sample (weights can correct… <a href="https://codeshala.io/platform/coursera/course/understanding-and-visualizing-data-with-python-statistics-with-python-specialization/assignment/assessment-distinguishing-between-probability-non-probability-samplesunderstanding-and-visualizing-data-with-python-statistics-with-python-specialization-answers-2025/" rel="bookmark">Assessment: Distinguishing Between Probability & Non-Probability Samples :Understanding and Visualizing Data with Python (Statistics with Python Specialization) Answers 2025</a>

Generating Random Data and Samples :Understanding and Visualizing Data with Python (Statistics with Python Specialization) Answers 2025

1. Question 1 Generate 3 normal random variables with mean = 100, sd = 1, seed = 123. When we run: import numpy as np np.random.seed(123) sample = np.random.normal(100, 1, 3) print(sample) The output is: 👉 99.914 101.937 100.282 ✅ 99.914 101.937 100.282 ❌ 99.822 100.093 100.719 ❌ 98.914 100.997 100.283 ❌ 100.915 99.997 101.283… <a href="https://codeshala.io/platform/coursera/course/understanding-and-visualizing-data-with-python-statistics-with-python-specialization/assignment/generating-random-data-and-samples-understanding-and-visualizing-data-with-python-statistics-with-python-specialization-answers-2025/" rel="bookmark">Generating Random Data and Samples :Understanding and Visualizing Data with Python (Statistics with Python Specialization) Answers 2025</a>