Statistics on customs

Track 07

Motivation to do Track 07

This learning path is designed to develop the following skills:

Confidence interval from a sample to estimate population mean and proportion.
Application of hypergeometric distribution and the size of a sample as discussed in the inspection theme.
Application on real-weight data from INTTRA database with HS6 code.

The journey map of Track 07

Badges

CLT Simulator

Sample Estimate

Normal Distrib,

Student T Distrib,

Inverse Distrib.

Confid. Interval

HS6 and Weight

Inspect LVL 3

1. Concepts & Definitions

1.1. Types of inspection

1.2. Central Limit Theorem (CLT)

1.3. Building a CLT Simulator

1.4. More results on CLT

1.5. Confidence interval and normal distribution

1.6. Applying normal confidence interval

1.7. Normal versus Student's T distributions

1.8. Confidence interval and Student T distribution

1.9. Applying Student T confidence interval

1.10. Estimating sample size using normal distribution

1.11. Estimating sample size using Student T distribution

1.12. Estimating proportion using samples

2. Problem & Solution

2.1. Confidence interval for weight of HS6 code

2.2. Sample size for weight of HS6 code

2.3. Inspection and proportion estimate

1. Concepts & Definitions

2. Problem & Solution

Types of inspection

More results on CLT

Normal versus Student's T distributions

Estimating sample size using normal distribution

Confidence interval for weight of HS6 code

Central Limit Theorem (CLT)

Confidence interval and normal distribution

Confidence interval and Student T distribution

Estimating sample size using Student T distribution

Sample size for weight of HS6 code

Building a CLT Simulator

Applying normal confidence interval

Applying Student T confidence interval

Estimating proportion using samples

Inspection and proportion estimate

Page updated

Google Sites

Report abuse