ADMS 2320: TERM TEST #2 PREP · Fall 2024

CHAPTER LESSONS - FREE

Chapter 5: Data Collection And Sampling

5 Topics | 1 Quiz

Introduction to Data Collection and Sampling

Data Collection

Types of Samples

Types of Errors

Chapter 05 Quiz

Chapter 7.1: Random Variables and Discrete Probability Distributions

12 Topics | 1 Quiz

Discrete Variables vs. Continuous Variables

Relative Frequencies + Discrete Variables (Q1a)

Requirements for a Distribution of a Discrete Random Variable (Q1a)

Population Mean = Expected Value E(X) (Q1b)

Population Variance V(X) and Standard Deviation (Q1c-d)

Variance | The Shortcut Formula

Probability Trees and Discrete Variables (Q2a)

Discrete Probabilities (Q2b-c)

Expected Value (Q2d)

Variance of X (2e)

Laws of Expected Value (Q2f)

Probability Tree (Q3)

Chapter 07.1 Quiz

Chapter 8.1: Probability Density Functions

3 Topics

Probability Density Functions

Uniform Distributions

Uniform Distribution – Example

CHAPTER LESSONS - PREMIUM CONTENT

Chapter 7.4: Binomial Distribution

6 Topics | 1 Quiz

The Binomial Experiment

The Binomial Probability Distribution (The Formula)

Using Binomial Tables

10 | Binomial Probability

11 | More Binomial

12 | Even More Binomial

Chapter 07.4 Quiz

Chapter 8.2: Normal Distribution

4 Topics | 1 Quiz

Normal Distribution – Question #1 and #2

Normal Distribution – Question #3

Normal Distribution – Question #4

Normal Distribution – Question #5

Chapter 08 Quiz

Chapter 9: Sampling Distributions

6 Topics | 1 Quiz

Introduction to Sampling Distributions

1 | Distribution of One Sample Mean

2 | Comparing Chapters 9 and 8

3 | Probability of a Sample Mean

4 | Binomial vs Sample Proportions

Comparing Two Populations

Chapter 09 Quiz

Chapter 10: Introduction to Estimation

8 Topics | 1 Quiz

Introduction to Estimation

Point Estimators

Confidence Interval Estimate of the Mean (Q1)

Quick Reference Table

Interpreting Confidence Intervals (Q2a–b)

Confidence Interval Width vs. Confidence Level (Q2c–d)

Confidence Interval Width vs. Sample Size, Standard Deviation, and Mean (Q2e–i)

Sample Size Determination (Q3)

Chapter 10 Quiz

PAST TESTS + SOLUTIONS FREE

Term Test #2 – Fall 2022 – Sample

3 Topics

Q1a) Ch8: Normal Distribution: Convert x → z → area « FREE SAMPLE

Q1b) Ch8: Normal Distribution: Convert x → z → area « FREE SAMPLE

Unlock ALL Past Term Test 2’s

PAST TESTS + SOLUTIONS - PREMIUM CONTENT

Term Test #2 – Fall 2022

14 Topics

Q1a) Ch8: Normal Distribution: Convert x → z → area

Q1b) Ch8: Normal Distribution: Convert x → z → area

Q1c) Ch8: Uniform Distribution

Q1d) Ch8: Normal Distribution: Convert area → z → x

Q2a) Ch9: Normal Distribution: Convert x̄ → z → area

Q2b) Ch9: Normal Distribution: Convert p̂ → z → area

Q2c) Ch9: Normal Distribution: Convert (x̄1-x̄2) → z → area

Q2d) Ch10: Estimation: Interpretation

Q3a) Ch7.4: Binomial: Table

Q3b) Ch7.4: Binomial: Table

Q3c) Ch7.4: Binomial: Expected value, Binomial: Variance

Q3d) Ch7.4: Binomial: Laws of Variance

Q3e) Ch7.4: Binomial: Laws of Expected Value

Q3f) Ch7.4: Binomial: Formula

Term Test #2 – Winter 2021

12 Topics

Q1) Ch7.4: Binomial Setting

Q1a) Ch7.4: Binomial: Formula

Q1b) Ch7.4: Binomial: Mean, Binomial: Variance

Q1c) Ch7.4: Binomial: Table

Q1d) Ch7.4: Binomial: Table

Q2a) Ch8: Normal Distribution: Convert x → z → area

Q2b) Ch8: Normal Distribution: Convert area → z → x → μ

Q2c) Ch9: Normal Distribution: Convert p̂ → z → area

Q2d) Ch9: Normal Distribution: Convert (x̄1-x̄2) → z → area

Q3a)b) Ch8: Uniform Distribution

Q3c) Ch10: Estimation: Minimum Sample Size

Q3d) Ch10: Estimation: Bound on the Error

Term Test #2 – Winter 2018

12 Topics

Q1a) Ch8: Uniform Distribution

Q1b) Ch8: Uniform Distribution

Q1c) Ch8: Continuous Distribution: Theory

Q1d) Ch8: Uniform Distribution

Q1e) Ch7.4: Binomial: Table

Q1f) Ch7.4: Binomial: Table, Binomial: Formula

Q1g) Ch9: Normal Distribution: Convert p̂ → z → area

Q2a) Ch8: Normal Distribution: Convert x → z → area

Q2b) Ch9: Normal Distribution: Convert x̄ → z → area

Q2c) Ch8: Normal Distribution: Convert area → z → x

Q2d) Ch9: Normal Distribution: Convert (x̄1-x̄2) → z → area

Q2e) Ch8: Normal Distribution: Convert x → z → area, Binomial: Formula

Term Test #2 – Fall 2017

15 Topics

Q1) Setup: Ch7.4: Binomial: Identification

Q1a) Ch7.4: Binomial: Table

Q1b) Ch7.4: Binomial: Table

Q1c) Ch7.4: Binomial: Table

Q1d) Ch7.4: Binomial: Theory, Ch6 Probability

Q1e) Ch7.4: Binomial: Formula

Q1f) Ch7.4: Binomial: Expected Value

Q1g) Ch7.4: Binomial: Variance

Q1h) Ch7.4: Binomial: Formula

Q2a) Ch8: Normal Distribution: Convert x → z → area

Q2b) Ch9: Normal Distribution: Convert x̄ → z → area

Q2c) Ch8: Normal Distribution: Convert area → z → x

Q2d) Ch9: Normal Distribution: Convert (x̄1-x̄2) → z → area

Q2e) Ch7.4: Binomial: Formula

Term Test #2 – Fall 2016

14 Topics

Q1a) Ch7.4 Binomial: Mean

Q1b) Ch7.4 Binomial: Variance

Q1c) Ch4 Standard Deviation

Q1d) Ch7.4 Binomial: Formula

Q1e) Ch7.4 Binomial: Formula

Q1f) Ch7.4 Binomial: Formula

Q1g) Ch7.4 Binomial: Table

Q1h) Ch7.4 Binomial: Table

Q2a) Ch9: Central Limit Theorem

Q2b) Ch9: Variance of x̄

Q2c) Ch9 Normal Distribution: Convert x̄ → z → area

Q2d) Ch10 Confidence Interval Estimate of x̄

Q2e) Ch10 Estimation: Minimum Sample Size

Term Test #2 – Archive | Extra Chapter #7 Questions

5 Topics

Exam A – Binomial – 5 Questions

Exam B – Binomial – 4 Questions

Exam C – Random Variables and Probability Distributions – 4 Questions

Exam D – Binomial – 4 Questions

Exam E – Binomial – 5 Questions

Term Test #2 – Archive | Extra Chapter #8 Questions

4 Topics

Exam G – Normal Distribution – 4 Questions

Exam H – Normal Distribution – 3 Questions

Exam I – Normal Distribution – 1 Question

Exam J – Normal Distribution, Ch.9 Sampling Distribution of the Mean – 4 Questions

Term Test #2 – Archive | Extra Chapter #9 Questions

3 Topics

Exam K – Sampling Distribution of the Mean – 4 Questions

Exam L – Central Limit Theorem – 1 Question

Exam M – Sampling Distribution of a Proportion – 5 Questions

Previous Lesson

Introduction to Estimation

ADMS 2320: TERM TEST #2 PREP · Fall 2024 Chapter 10: Introduction to Estimation Introduction to Estimation

Chapter 10 introduces statistical inference, distinguishing it from the descriptive statistics you learned in earlier chapters.

I explain here how unknown population parameters can be estimated using known sample data, with a focus on estimating the population mean.

Test your understanding:

Time limit: 0

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Question 1 of 4

1. Question
What is the main difference between descriptive statistics and statistical inference?
- a) Descriptive statistics deals with unknown data, while statistical inference deals with known data.
- b) Descriptive statistics deals with known data, while statistical inference deals with unknown data.
- c) Descriptive statistics and statistical inference both deal with known data.
- d) Descriptive statistics and statistical inference both deal with unknown data.
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Question 2 of 4

2. Question
What does it mean to infer in the context of statistical inference?
- a) To make an educated guess about an unknown population parameter.
- b) To organize the data in a certain order.
- c) To present known data in a graphical form.
- d) To summarize known data with a single sample mean.
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Question 3 of 4

3. Question
What are the two methods of making an inference?
- a) Estimation and Hypothesis Testing.
- b) Estimation and Data Organization.
- c) Hypothesis Testing and Data Presentation.
- d) Data Organization and Data Presentation.
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Question 4 of 4

4. Question
What is the unknown population parameter specifically dealt with in Chapter 10?
- a) The population variance.
- b) The population proportion.
- c) The population mean.
- d) The difference between two means.
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