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Georgia [21]
3 years ago
14

What is the greastest place 105.40 can round to

Mathematics
2 answers:
Sonja [21]3 years ago
8 0
The greatest place 105.40 can round to is 100.
Lady_Fox [76]3 years ago
4 0
The greatest place you can round to is the hundreds
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Note: Enter your answer and show all the steps that you use to solve this problem in the space provided.
larisa [96]

Answer: The area is 1,330 inches.

Step-by-step explanation:

Parallelogram Area = base * height

Height = 35

Base = 38

38 * 35 = 1,330

8 0
4 years ago
Read 2 more answers
How do u write (2b)^4 without exponents
bearhunter [10]
Since you don't know the value of b about the best that you could do is:

(2b)^4

16b^4

16b*b*b*b
4 0
3 years ago
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5.2.14. For the negative binomial pdf p (k; p, r) = k+r−1 (1 − p)kpr, find the maximum likelihood k estimator for p if r is know
Volgvan

Answer:

\hat p = \frac{r}{\bar x +r}

Step-by-step explanation:

A negative binomial random variable "is the number X of repeated trials to produce r successes in a negative binomial experiment. The probability distribution of a negative binomial random variable is called a negative binomial distribution, this distribution is known as the Pascal distribution".

And the probability mass function is given by:

P(X=x) = (x+r-1 C k)p^r (1-p)^{x}

Where r represent the number successes after the k failures and p is the probability of a success on any given trial.

Solution to the problem

For this case the likehoof function is given by:

L(\theta , x_i) = \prod_{i=1}^n f(\theta ,x_i)

If we replace the mass function we got:

L(p, x_i) = \prod_{i=1}^n (x_i +r-1 C k) p^r (1-p)^{x_i}

When we take the derivate of the likehood function we got:

l(p,x_i) = \sum_{i=1}^n [log (x_i +r-1 C k) + r log(p) + x_i log(1-p)]

And in order to estimate the likehood estimator for p we need to take the derivate from the last expression and we got:

\frac{dl(p,x_i)}{dp} = \sum_{i=1}^n \frac{r}{p} -\frac{x_i}{1-p}

And we can separete the sum and we got:

\frac{dl(p,x_i)}{dp} = \sum_{i=1}^n \frac{r}{p} -\sum_{i=1}^n \frac{x_i}{1-p}

Now we need to find the critical point setting equal to zero this derivate and we got:

\frac{dl(p,x_i)}{dp} = \sum_{i=1}^n \frac{r}{p} -\sum_{i=1}^n \frac{x_i}{1-p}=0

\sum_{i=1}^n \frac{r}{p} =\sum_{i=1}^n \frac{x_i}{1-p}

For the left and right part of the expression we just have this using the properties for a sum and taking in count that p is a fixed value:

\frac{nr}{p}= \frac{\sum_{i=1}^n x_i}{1-p}

Now we need to solve the value of \hat p from the last equation like this:

nr(1-p) = p \sum_{i=1}^n x_i

nr -nrp =p \sum_{i=1}^n x_i

p \sum_{i=1}^n x_i +nrp = nr

p[\sum_{i=1}^n x_i +nr]= nr

And if we solve for \hat p we got:

\hat p = \frac{nr}{\sum_{i=1}^n x_i +nr}

And if we divide numerator and denominator by n we got:

\hat p = \frac{r}{\bar x +r}

Since \bar x = \frac{\sum_{i=1}^n x_i}{n}

4 0
3 years ago
Which answer choice best represents 3/15?
uysha [10]

Uhh... what are the options?

Here's some possible ones:

0.2

1/5

4 0
3 years ago
Read 2 more answers
What did they do incorrectly <br>40 + 70 + ? = 360<br> 110 + ? = 360<br> -110 -110 <br>? = 250
Arte-miy333 [17]

Answer:

I guess they subtracted a 110 from -110 instead of subtracting from 360

6 0
3 years ago
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