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Misha Larkins [42]
3 years ago
6

Suzy can type 39 words in 36 seconds. At this rate, how many words can she type in 1 minute?

Mathematics
1 answer:
valentinak56 [21]3 years ago
4 0
1,104

I multiplied it
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Gavin goes to the market and buys one rectangle shaped board. The length of the board is 16 cm and width is 10 cm. if he wants t
Ira Lisetskai [31]
Check the picture below.

doesn't that make it just a 20 x 14?  well, surely you know what that area is.

8 0
3 years ago
How do you find the are of the diameter
GalinKa [24]
I think you mean circumference, which is equal to = 2πr
6 0
3 years ago
A state vector X for a four-state Markov chain is such that the system is four times as likely to be in state 2 as in 4, is not
GREYUIT [131]
All the components in the state vector need to sum to 1. You're given that component corresponding to state 1 is 0.2, and that the component for state 3 is 0.

That leaves states 2 and 4, for which you're told that the component for state 2 is four times as large. If x_i is the component for state i, then you have

x_1+x_2+x_3+x_4=1\iff 0.2+4x_4+0+x_4=1\implies5x_4=0.8\implies x_4=0.16

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8 0
3 years ago
Please helppppppp ❤️
liberstina [14]

Answer:

Inverse of f exists.

Step-by-step explanation:

From the graph attached,

If we do the horizontal line test for the function graphed,

We find the function as one to one function.

In other words for every input value (x-value) there is a different output value.

Since, for one-to-one functions, inverse of the functions exist.

Therefore, the answer will be,

The inverse of 'f' exists.

7 0
3 years ago
You consider yourself a bit of an expert at playing rock-paper-scissors and estimate that the probability that you win any given
cestrela7 [59]

Answer:

a) 0.37

b) 0.421

c) 0.25

Step-by-step explanation:

Since the probability of winning a game is binomial (P = 0.5) the expected value for number of winning when you play 60 games is

\mu = 60*0.5 = 30

And the standard deviation:

\sigma = 60*0.5*0.5 = 15

a) the cumulative probability of winning at least 35 games is

P(X \geq 35) = 1 - P(X < 35) = 1 - 0.631 = 0.37

b)P(X < 27) = 0.421

c)P(30 \leq X \leq 40) = P(X \leq 40) - P(X \leq 30) = 0.75 - 0.5 = 0.25

7 0
3 years ago
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