battlemarshmell
12.03.2021 •
Mathematics
What is the answer? This is geometry
Solved
Show answers
More tips
- H Health and Medicine Contrast Shower: Benefits for the Body and Soul...
- S Society and Politics Skoptsy: Who They Are and How They Perform Castration?...
- H Health and Medicine How to Calculate Your Ideal Weight?...
- S Style and Beauty Discover the Art of Nail Design: How Do You Paint Your Nails?...
- P Philosophy How to Develop Extrasensory Abilities?...
- O Other Everything You Need to Know About Kudyabliks...
- C Computers and Internet The Twitter Phenomenon: What it is and How to Use it...
- C Computers and Internet How to Choose a Laptop: Expert Guide and Tips...
- C Computers and Internet How to Choose a Monitor?...
- H Horoscopes, Magic, Divination Where Did Tarot Cards Come From?...
Answers on questions: Mathematics
- M Mathematics Matthew launches a ball is at 34 meters per sec from a 28 meter tall platform. The function of the ball s height (h) at time (*) seconds after launch is h(t) = -12t^2...
- M Mathematics Explain mathematical induction step by step in the most simple way possible please.- Precalc...
- M Mathematics A box has 16 candies.12 red and 4 yellow.If you were picking candies from the box without looking.How many candies would you have to pick up to be certain to find two...
- C Chemistry During monsoon we face the problem of muddy water flowing through our taps. What possible techniques can you use to make the water clean and why?...
- M Mathematics Factorise fully 2c - 4...
- P Physics Why don t objects on Earth seem to obey the second part of Newton s first law...
Ответ:
Step-by-step explanation:
We know that the heron wingspan follow a normal distribution with an mean of 125 cm.
In this case we seek to find
If X is a random variable that represents the length of the heron wingspan, then X follows a normal distribution and therefore is a continuous random variable.
Then by definition of continuous random variable we have to:
That is to say that only the ranges of values can have a different probability of zero. The probability that a continuous random variable is equal to some exact value is always zero.
Finally we can conclude that