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kotykmax [81]
3 years ago
14

I Find the determinentist of the followingmatricesi) A= (-1 1) ( 2 0) ​

Mathematics
1 answer:
USPshnik [31]3 years ago
8 0
I belive it’s c becuse hehehendnsndnnddnbdndndjdjdjjdjdndjdjdjdjdjdjdjdjdjd
You might be interested in
Nathaniel can weld a railing in 75 minutes. Brenda can weld a railing 25 minutes faster. If they work together, how many minutes
geniusboy [140]

Answer:

30 minutes

Step-by-step explanation:

Nathaniel can weld 1 rail in 75 minutes, so he welds 1R = 75 min,  and Brenda can weld 1 rail in 50 minutes (25 minutes faster than Nathaniel), so she welds

1R = 50 min

We want to see how many minutes it takes them both, so we need to solve both problems for the minute unit

Nathaniel:  (1/75)R = 1 min   (he can do one seventy-fifth of a rail per minute)

Brenda:  (1/50)R = 1 min (she can do one fiftieth of a rail per minute)

notice, the equation is 1/(minutes it takes them), and we want to see how long it takes both of them, so we get the equation:

1/75 + 1/50 = 1/x

Simplify the left side with common denominator of 57(50) = 3750

We get

125/3750 = 1/x

We can cross multiply to get rid of the fractions...

125x = 3750

Divide both sides by 125 to solve for x...

x = 30, so it would take them 30 minutes to weld a rail if they work together.

5 0
3 years ago
Answer my question for brainiest
11Alexandr11 [23.1K]

Answer:

-13 = n - 4

Step-by-step explanation:

-13 is four less than a number n

so four less than n  can be written as n - 4

-13 = n - 4

n= -9

8 0
3 years ago
In a group of 80 people ,42 people visit zoo ,50 people museum and each person like to visit at least 1 of the place
Vadim26 [7]

Answer:

170 person r in the zoo so it depends

7 0
3 years ago
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
Jake’s family is moving to a new home. They packed 22 boxes in \large 1\small \frac{5}{6} hours. What is the average number of b
den301095 [7]

Answer:

12 boxes per hour

Step-by-step explanation:

22 boxes in 1 5/6 hours

22 /11/6

22 *6/11=12

Hope this helps plz hit the crown :D

3 0
3 years ago
Read 2 more answers
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