Inferential Statistical Analysis with Python (Statistics with Python Specialization)

Python Basics Assessment :Inferential Statistical Analysis with Python (Statistics with Python Specialization) Answers 2025

1. Question 1 Default for axis in pandas.DataFrame.drop The default is axis=0 ✅ 0 ❌ any other value Explanation:DataFrame.drop() by default drops rows, meaning axis=0. 2. Question 2 Default kind for np.sort ⚙️ Default = ‘quicksort’ ❌ stable ✅ quicksort ❌ mergesort ❌ heapsort Explanation:NumPy’s default algorithm for np.sort is quicksort. 3. Question 3 What… <a href="https://codeshala.io/platform/coursera/course/inferential-statistical-analysis-with-python-statistics-with-python-specialization/assignment/python-basics-assessment-inferential-statistical-analysis-with-python-statistics-with-python-specialization-answers-2025/" rel="bookmark">Python Basics Assessment :Inferential Statistical Analysis with Python (Statistics with Python Specialization) Answers 2025</a>

Sample Size & Assumptions :Inferential Statistical Analysis with Python (Statistics with Python Specialization) Answers 2025

1. Question 1 Which of the following corresponds to the value of 43%? (Select all that apply) ✅ Statistic ❌ Parameter ✅ Sample proportion ❌ Population proportion ✅ Estimate of the population proportion ❌ Test statistic Explanation:43% is computed from the sample of 232 students, so it’s a sample statistic (the sample proportion) and serves… <a href="https://codeshala.io/platform/coursera/course/inferential-statistical-analysis-with-python-statistics-with-python-specialization/assignment/sample-size-assumptions-inferential-statistical-analysis-with-python-statistics-with-python-specialization-answers-2025/" rel="bookmark">Sample Size & Assumptions :Inferential Statistical Analysis with Python (Statistics with Python Specialization) Answers 2025</a>

Confidence Intervals Assessment :Inferential Statistical Analysis with Python (Statistics with Python Specialization) Answers 2025

1. Question 1 — What numerical value in the column ‘napping’ indicates that a toddler takes a nap? ❌ No answer ✅ 1 Explanation: Commonly the binary indicator uses 1 = takes a nap and 0 = does not nap. I selected 1 as the numeric code indicating the toddler naps. 2. Question 2 —… <a href="https://codeshala.io/platform/coursera/course/inferential-statistical-analysis-with-python-statistics-with-python-specialization/assignment/confidence-intervals-assessment-inferential-statistical-analysis-with-python-statistics-with-python-specialization-answers-2025/" rel="bookmark">Confidence Intervals Assessment :Inferential Statistical Analysis with Python (Statistics with Python Specialization) Answers 2025</a>

Name That Scenario :Inferential Statistical Analysis with Python (Statistics with Python Specialization) Answers 2025

Question 1 — Blind taste test to estimate percentage who prefer grape❌ Single population proportion❌ Difference in two population proportions❌ Single population mean❌ Population mean difference for paired data✅ Difference in two population proportions Explanation: Two flavors (grape vs apple) compared within consumers to estimate the proportion preferring grape relative to apple — this is… <a href="https://codeshala.io/platform/coursera/course/inferential-statistical-analysis-with-python-statistics-with-python-specialization/assignment/name-that-scenario-inferential-statistical-analysis-with-python-statistics-with-python-specialization-answers-2025/" rel="bookmark">Name That Scenario :Inferential Statistical Analysis with Python (Statistics with Python Specialization) Answers 2025</a>

Hypothesis Testing in Python Assessment :Inferential Statistical Analysis with Python (Statistics with Python Specialization) Answers 2025

1) Question 1 — Difference of sample mean bedtimes (nap − no-nap) (three decimals) ❌ 20.126✅ 0.714❌ 0.1785❌ 0.5355 Explanation: Using the reported group CIs, the nap-group mean ≈ 20.3040 and the no-nap mean ≈ 19.5900, so the difference ≈ 20.3040 − 19.5900 = 0.714 (rounded to three decimals). 2) Question 2 — Degrees of… <a href="https://codeshala.io/platform/coursera/course/inferential-statistical-analysis-with-python-statistics-with-python-specialization/assignment/hypothesis-testing-in-python-assessment-inferential-statistical-analysis-with-python-statistics-with-python-specialization-answers-2025/" rel="bookmark">Hypothesis Testing in Python Assessment :Inferential Statistical Analysis with Python (Statistics with Python Specialization) Answers 2025</a>

Assessment :Inferential Statistical Analysis with Python (Statistics with Python Specialization) Answers 2025

1) Question 1 — 95% CI for the undergraduate mean (n=500, mean=62.5, SD=10) SE = 10 / √500 ≈ 0.4472; margin = 1.96·SE ≈ 0.8765 ⇒ CI ≈ (62.5 ± 0.8765) = (61.6235, 63.3765) ❌ (62.46, 62.54)✅ (61.62, 63.38)❌ (42.90, 82.10)❌ (62.05, 62.95) Explanation: Using z≈1.96 for 95% (n large), the CI is 62.5 ±… <a href="https://codeshala.io/platform/coursera/course/inferential-statistical-analysis-with-python-statistics-with-python-specialization/assignment/assessment-inferential-statistical-analysis-with-python-statistics-with-python-specialization-answers-2025/" rel="bookmark">Assessment :Inferential Statistical Analysis with Python (Statistics with Python Specialization) Answers 2025</a>