QNT 102: Introduction to Statistics

The Week 4 Assignment is a graded task that will test learners' understanding of the key concepts covered in Chapters 1-3 of Introductory Statistics 2e, reinforcing their ability to analyze data and solve probability-based problems. The assignment will evaluate their grasp of the following key topics from Weeks 1 to 4:

Chapter 1: Introduction to Statistics

• Key Statistical Terms

• Types of Data

• Levels of Measurement

• Data Collection and Sampling Methods

Chapter 2: Descriptive Statistics

• Measures of Central Tendency

• Measures of Variability

• Data Visualization

• Data Distribution and Skewness

Chapter 3: Probability Concepts

• • Basic Probability Rules

  • Independent vs. Mutually Exclusive Events

  • Conditional Probability and Bayes’ Theorem

  • Probability Tools

Learners submit a report with clear sections (1–4), labeled answers, and calculations. It should be clear which response corresponds to which question and section. Learners are welcome to complete their work on a sheet of paper and add an image of that work to the document they’re preparing. Learners should include graphs, tables, and explanations where needed, and ensure professionalism and clarity. Once learners are ready to submit, they must convert their documents into a PDF, and name it according to the format: FirstName_LastName_Week04_Assignment.pdf.

The Week 8 Assignment will evaluate learners' understanding of Chapters 4–7 of Introductory Statistics 2e, testing their ability to apply statistical principles to real-world scenarios. The assignment will reinforce their ability to analyze data and solve probability-based problems. The following key topics from Weeks 5 to 8 will be evaluated: 

Chapter 4: Discrete Probability Distributions

• Probability mass functions (PMFs)

• Discrete random variables

• Probability distribution

Chapter 5: Continuous Probability Distributions

• Probability density functions (PDFs), and cumulative distribution functions (CDFs)

• Uniform Distribution and Exponential Distribution

• Computing probabilities

Chapter 6: The Normal Distribution

• The normal distribution

• Z-scores

• Confidence intervals

• The normal approximation

Chapter 7: Sampling Distributions & The Central Limit Theorem

• Sampling distribution

• The Central Limit Theorem (CLT)

• Standard errors and the Finite Population Correction Factor (FPCF)

Learners submit a report with clear sections (1–4), labeled answers, and calculations. It should be clear which response corresponds to which question and section. Learners are welcome to complete their work on a sheet of paper and add an image of that work to the document they’re preparing. Learners should include graphs, tables, and explanations where needed, and ensure professionalism and clarity. Once learners are ready to submit, they must convert their documents into a PDF, and name it according to the format: FirstName_LastName_Week08_Assignment.pdf.

The Week 11 Assignment will evaluate learners' understanding of Chapters 8–9 of Introductory Statistics 2e, testing their ability to use confidence intervals and hypothesis testing in real-world applications. These concepts are fundamental to making informed decisions based on data, and mastering them will enhance their analytical skills. The following key topics from Weeks 9 to 11 will be evaluated: 

Chapter 8: Confidence Intervals

• Population means and proportions

• Known or unknown population standard deviation

• Student’s t-distribution

• Confidence level and margin of error

• Real-world applications of confidence intervals

Chapter 9: Hypothesis Testing

• Formulating null (H₀) and alternative (Hₐ) hypotheses

• Type I and Type II errors

• Hypothesis tests for means and proportions

• The Central Limit Theorem

• Statistically sound conclusions

Learners submit a document showing all working, and adding clear explanations where needed. Learners are welcome to complete their work on a sheet of paper and add an image of that work to the document they’re preparing. Learners should label each answer with the corresponding question number, and explain their interpretations in complete sentences. Once learners are confident in your assignment, they must convert their documents into a PDF, and name it according to the format: FirstName_LastName_Week11_Assignment.pdf.

The Week 15 Assignment will evaluate learners' understanding of Chapters 10–13 of Introductory Statistics 2e, testing their ability to use key statistical concepts for data analysis and decision-making. These concepts are also fundamental to making informed decisions based on data, and mastering them will enhance their analytical skills. The following key topics from Weeks 12 to 15 will be evaluated: 

Chapter 10: Analysis of Variance (ANOVA)

• One-Way ANOVA

• The F Distribution and F-Ratio

• Testing for Variances

• Assumptions and Significance Levels in ANOVA

Chapter 11: Chi-Square Tests

• Goodness-of-Fit Test

• Test of Independence

• Test for Homogeneity

• Chi-Square Tests

Chapter 12: Simple and Multiple Regression Analysis

• Linear Regression

• The correlation coefficient (𝑟)

• Predicting outcomes

• The significance of regression coefficients

• Elasticity and logarithmic transformation

Chapter 13: Regression and Data Analysis in Excel

• Regression Analysis with Microsoft Excel®

• Regression output

• Regression tools

Learners submit a document showing all working, and adding clear explanations where needed. Learners are welcome to complete their work on a sheet of paper and add an image of that work to the document they’re preparing. Learners should label each answer with the corresponding question number, and explain their interpretations in complete sentences. Once learners are confident in your assignment, they must convert their documents into a PDF, and name it according to the format: FirstName_LastName_Week15_Assignment.pdf.