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43% of Americans utilize online media and different sites to voice their sentiments about TV programs (The Huffington Post, November 23, 2011). The following are

43% of Americans utilize online media and different sites to voice their sentiments about TV programs (The Huffington Post, November 23, 2011). The following are the

aftereffects of a study of 1400 people who were inquired as to whether they utilize web-based media and other

sites to voice their feelings about TV programs.

Utilizations Social Media and Other Doesn't Use Social Media and Other

Sites to Voice Opinions About Websites to Voice Opinions About

TV Programs Television Programs

Female 395 291

Male 323 355

a. What is the likelihood a respondent is female?

b. What is the restrictive likelihood a respondent uses online media and different sites

to voice sentiments about TV programs given the respondent is female?

c. Allow F to mean the occasion that the respondent is female and A signify the occasion that the

respondent uses web-based media and different sites to voice conclusions about TV

programs. Are occasions F and A free?

The accompanying table gives quantities of cases at an enormous insurance agency by

kind and by geographic locale. Here hospitalization and midwest are autonomous to one another.

East South Midwest West

Hospitalization 75 128 29 52

Doctor's visit 233 514 104 251

Outpatient treatment 100 326 65 99

Figure section aggregates and column sums. Their meaning could be a little clearer.

a. On the off chance that a bill is picked indiscriminately, what is the likelihood that it is from the Midwest?

b. What is the likelihood that a haphazardly picked bill is from the East?

c. What is the likelihood that an arbitrarily picked bill is either from the Midwest

or on the other hand from the South? What is the connection between these two occasions?

d. What is the likelihood that an arbitrarily picked bill is for hospitalization?

e. Given that a bill is for hospitalization, what is the likelihood that it is from

the South?

f. Given that a bill is from the East, what is the likelihood that it is for a

doctor's visit?

g. Given that a bill is for outpatient treatment, what is the likelihood that it is

from the West?

h. What is the likelihood that a haphazardly picked bill is either from the East or

for outpatient treatment (or both)?

I. What is the likelihood that a haphazardly chosen bill is either for hospitalization or from the South (or both)?

\23\

A centralized server PC in a college crashes on the normal 0.71 time in a

semester.

a. What is the likelihood that it will crash at any rate multiple times in guaranteed

semester?

b. What is the likelihood that it won't crash at all in a given semester?

c. The MIS executive needs to build the likelihood of no accident at

all in a semester to in any event 90%. What is the biggest that will accomplish

this objective?

Prior to showcasing new items broadly, organizations regularly test them on

tests of likely clients. Such tests have a known unwavering quality. For a specific item type, a test will show accomplishment of the item 75% of the time if

the item is in reality effective and 15% of when the item isn't fruitful. From past experience with comparable items, an organization realizes that a

new item has a 0.60 possibility of accomplishment on the public market. In the event that the test shows that the item will be fruitful, what is the likelihood that it truly will

be fruitful?

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