Answer:
Isolate the variable by dividing each side by factors that don't contain the variable.
M = 0.65146579
t=0
simplified = M ( t ) = 0.65146579 t
Step-by-step explanation:i really hope this helps you
Yes, but it could be more thorough, like for example:<span>a small domesticated carnivorous mammal with soft fur, a short snout, and retractile claws. It is widely kept as a pet or for catching mice, and many breeds have been developed.</span>
Answer:
The probability is 0.503
Step-by-step explanation:
If the ghost appearances occur in the house according to a Poisson process with mean m, the time between appearances follows a exponential distribution with mean 1/m. so, the probability that the next ghost appearance happens before x hours is equal to:

Then, replacing m by 1.4 ghosts per hour we get:

Additionally, The exponential distribution have a memoryless property, so if it is now 1:00 p.m. and we want the probability that ghost appear before 1:30 p.m., we need to find the difference in hours from 1:00 p.m and 1:30 p.m. no matter that the last ghost appearance was at 12:35 p.m.
Therefore, there are 0.5 hours between 1:00 p.m. and 1:30 p.m, so the probability that the 7th ghost will appear before 1:30 p.m is calculated as:

I am pretty sure it is 100 becayse it looks luke it is doubling the number.