Over million tweets are sent per day (digital marketing ramblings website, december 15, 2014). assume that the number of tweets per hour follows a poisson distribution and that bob receives on average tweets during his lunch hour. a. what is the probability that bob receives no tweets during his lunch hour (to 4 decimals)? 0.0009 b. what is the probability that bob receives at least tweets during his lunch hour (to 4 decimals)? for this question, if calculating the probability manually make sure to carry at least 4 decimal digits in your calculations. 0.5169 c. what is the expected number of tweets bob receives during the first minutes of his lunch hour (to 1 decimal)? d. what is the probability that bob receives no tweets during the first minutes of his lunch hour (to 4 decimals)?

oof

step-by-step explanation:

she will sew have sewn five dresses   and be 1/3 done with the sixth one in an hour.

step-by-step explanation:

3/4 of an hour=45 mins

lucy makes 1 dress per 11.25 minutes

45 mins+11.25 mins=56.25 mins

60 mins- 56.25 mins=3.75 mins

3.75 mins is 1/3 of of 11.25 mins

therefore she the other 1/3 would be part of the hour and she will have sewn 5 dresses and begun the sixth.

contact me if you have any questions you are welcome.

b. b < 1 might be the correct answer

answer: it actually depends on which is the independent variable and which is the dependent variable. let us say we're looking at a linear equation. y=2x+3. we theoretically could switch the equation to be x=(y-3)/2 and it would be the same line. so either a causes b or it can be that b causes a. so technically the answer is false

step-by-step explanation: