Can someone tell me the answer to -a+3a+4 please

Total freshman = 58. Number of freshman who prefer cheese toppings= 14. Determined the probability that a freshman prefer cheese

Yakvenalex [24]

Answer:

The probability that a freshman prefer cheese toppings is 0.241

Step-by-step explanation:

Probability of any event E = $\frac{\textrm{Number of favorable outcomes}}{\textrm{Total number of outcomes}}$

Here, let E : Event of choosing cheese toppings

So, the number of favorable outcomes = 14

Total number of outcomes = 58

So, $P(E) = \frac{\textrm{Number of students who like cheese toppings}}{\textrm{Total number of students}}$

or, P(E) = $\frac{14}{58} = 0.241379$

So,the probability that a freshman prefer cheese toppings is 0.241379

Rounding of 0.241379 to the <u>nearest thousandth</u>, we get

Here , in 0.241379 thousandth digit is 3, and 3 < 5,

so the value of P(E) = 0.241

4 0

3 years ago

The statue of liberty is 305.5 feet tall from the foundation of it pedestal to the top of its torch Isla is building a model of

Effectus [21]

Answer: The actual model is 3.055 feet tall.

Step-by-step explanation:

Given: The statue of liberty is 305.5 feet tall from the foundation of it pedestal to the top of its torch .

The height of the model of the statue = $\dfrac{1}{100}\times\text{ (Height of actual model)}$

$=\dfrac{1}{100}\times305.5\\\\=3.055\text{ feet}$

Hence, the actual model is 3.055 feet tall.

8 0

3 years ago

The National Center for Health Statistics (NCHS) reports that 70%70% of U.S. adults aged 6565 and over have ever received a pneu

Marianna [84]

Answer:

11.44% probability that exactly 12 members of the sample received a pneumococcal vaccination.

Step-by-step explanation:

For each adult, there are only two possible outcomes. Either they received a pneumococcal vaccination, or they did not. The probability of an adult receiving a pneumococcal vaccination is independent of other adults. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$