Ask question

Ask question

All categories

3 years ago

12

keiko, chang, and scott sent a total of 130 text messages over their cell phones during the weekend. Scott sent 10 fewer message

s than Keiko. Chang sent 4 times as many messages as scott. How many messages did they each send?

1 answer:

Olenka [21]3 years ago

8 0

Keiko sent 30 text messages Scott sent 20 text messages chang sent 80

You might be interested in

Question part points submissions used use cylindrical coordinates. evaluate x2 + y2 dv, e where e is the region that lies inside

Inessa [10]

$\displaystyle\iiint_E(x^2+y^2)\,\mathrm dV=\int_{\theta=0}^{\theta=2\pi}\int_{r=0}^{r=2}\int_{z=3}^{z=7}r^3\,\mathrm dz\,\mathrm dr\,\mathrm d\theta$
$=8\pi\displaystyle\int_0^2r^3\,\mathrm dr=2\pi(2^3-0^3)=16\pi$

4 0

3 years ago

Evaluate (−25)(38)/(−34).

muminat

Multiply 25 and 38, the divide that by 34.
the negatives will cancel because there is 1 on the top and 1 on the bottom.
i got 27.9412

8 0

3 years ago

Express 3/4 degree in seconds

KiRa [710]

First convert it into minutes by multiplying 60,
3/4 * 60

Now, again with 60, in order to convert it into seconds,
3/4 * 60 * 60
3/4 * 3600
3 * 900
2700

In short, Your Answer would be 2700 seconds

Hope this helps!

4 0

3 years ago

Read 2 more answers

In answering on a multiple choice test, a student either know the answer or guesses. Let p be the probability that the students

LenaWriter [7]

Answer:

$P(A_{1}|B ) =\frac{mp}{1+p(m-1)}$

Step-by-step explanation:

For mutually exclusive events as A1, A2, A3, etc, Bayes' theorem states:

$P(A|B)= \frac{P(B|A)P(A)}{P(B)}$

P(A|B) is a conditional probability: the likelihood of event A occurring given that B is true.

P(B|A) is a conditional probability: the likelihood of event B occurring given that A is true.

P(A) is the probability that A occurs

P(B) is the probability that B occurs

For this problem:

A1 is the probability that the student knows the answer

A2 is the probability that the student guesses the answer

B is the probability that the student answer correctly

$P(A_{1})=p \\P(A_{2})=1-p \\P(B|A_{1})=1 \\P(B|A_{2})=\frac{1}{m} \\P(B)= P(A_{1})P(B|A_{1}) + P(A_{2})P(B|A_{2})= p+\frac{1-p}{m} \\$

P(B|A₁) means the probability that the answer is correct when he knew the answer

P(B|A₂) means the probability that the answer is correct when he guessed the answer

P(A₁|B) means the probability that he knew the answer when the answer was correct

Replacing everything in the Bayes' theorem you get:

$P(A_{1}|B)= \frac{P(B|A_{1})P(A_{1})}{P(B)}=\frac{(1)(p)}{p+\frac{1-p}{m}} =\frac{mp}{mp+1-p} =\frac{mp}{1+p(m-1)}$

5 0

3 years ago

Properties of interger Exponent

liraira [26]

Answer:

<em><u>Answer is below</u></em>

Step-by-step explanation:

10^0

=1

4 0

3 years ago