Football subscription. in a community of 100,000 students, subscribers to a season ticket for football games tend to renew their subscription with probability 90% and persons presently not subscribing will subscribe for the next season with probability 2%. if the present number of subscribers is 1200, how many subscribers will there be next season and the season following that? (define all mathematical terms/quantities used.)

Next season: 3,056 subscribers.

The season after that: 4,689.28 subscribers

Step-by-step explanation:

There are 100,000 students in the community, of which 1,200 currently are season ticket subscribers. This means that 100,000 - 1,200 = 98,800 of the students are not season ticket subscribers.

The problem states that current subscribers tend to renew their subscription with probability 90% and persons presently not subscribing will subscribe for the next season with probability 2%.

For next season.

There are currently 1,200 subscribers. 90% of them are expected to renew. There are 98,800 non-subscribers. 2% are expected to subscribe. The expected number of subscribers is:

For next season, there are expected to be 3,056 subscribers, and 100,000 - 3,056 = 96,944 non subscribers.

For the season after that:

There are currently 3,056 subscribers. 90% of them are expected to renew. There are 96,944 non-subscribers. 2% are expected to subscribe. The expected number of subscribers is:

b. 6

step-by-step explanation:

we are given the table representing an exponential function.

we can see from the table that, as x is increasing, the value of y is increasing in the power of 6.

i.e. the following relation is obtained,

x = 1, y = 6

x = 2, y = 36 =

x = 3, y = 216 =

x = 4, y = 1296 =

x = 5, y = 7776 =

so, the geometric series obtained is .

thus, the common ratio is given by = = 6.

hence, the common ratio is 6.

the highest percentage for deaths in construction from highest to lowest is as follows: falls, struck by objects, electrocution, and caught-in/between. these four are collectively known as fatal four.

in the case of falls, the type that is responsible for the overall highest death in the category is falls from roofs.