


How can you find the probability P(a ≤ X ≤ b) using the CDF?
In Stock
$34.99
$29.99
Shipping and Returns Policy
- Deliver to United States » Shipping Policy «
- - Shipping Cost: $5.99
- - Handling time: 2-3 business days
- - Transit time: 7-10 business days
- Eligible for » Returns & Refund Policy « within 30 days from the date of delivery
Find similar items here:
what is normal cdf
- What is the relationship between the CDF and the Lorenz curve?
- What are loss distributions and their CDFs?
- What are probabilistic models for realistic rendering?
- How is the normal CDF used in information theory and coding?
- What are aggregate loss distributions and their CDFs?
- What are the CDFs of population density?
- How can normal approximations be used for real-time analysis of data streams?
- How are CDFs used in biostatistics and clinical trial analysis?
- How is the normal CDF used in agent-based modeling and simulation?
- How can you find the probability P(X ≥ x) for a general normal distribution using the standard normal CDF?
-
Next Day Delivery by USPS
Find out more
Order by 9pm (excludes Public holidays)
$11.99
-
Express Delivery - 48 Hours
Find out more
Order by 9pm (excludes Public holidays)
$9.99
-
Standard Delivery $6.99 Find out more
Delivered within 3 - 7 days (excludes Public holidays).
-
Store Delivery $6.99 Find out more
Delivered to your chosen store within 3-7 days
Spend over $400 (excluding delivery charge) to get a $20 voucher to spend in-store -
International Delivery Find out more
International Delivery is available for this product. The cost and delivery time depend on the country.
You can now return your online order in a few easy steps. Select your preferred tracked returns service. We have print at home, paperless and collection options available.
You have 28 days to return your order from the date it’s delivered. Exclusions apply.
View our full Returns and Exchanges information.
Our extended Christmas returns policy runs from 28th October until 5th January 2025, all items purchased online during this time can be returned for a full refund.
No reviews yet. Only logged in customers who have purchased this product may leave a review.