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olga55 [171]
3 years ago
6

WHOEVER ANSWERS RIGHT GETS BRAINLIST

Mathematics
2 answers:
Lerok [7]3 years ago
4 0

Answer:

61%

Step-by-step explanation:

there are 61 shaded boxes

Eduardwww [97]3 years ago
3 0

Answer:

61%

Step-by-step explanation:

The whole square is made up of 10 * 10 = 100 tiny squares.

Only a fraction of them are shaded. When we count how many are shaded, we see that 6 * 10 + 1 = 60 + 1 = 61 squares are blue.

Percent is just (part)/(whole). In this case, the "part" is the shaded 61 squares, and the "whole" is the total 100 squares. So, we have:

61/100 = 61%

Thus, the answer is 61%.

Hope this helps!

You might be interested in
You have two six-sided dice. Die A has 2 twos, 1 three, 1 five, 1 ten, and 1 fourteen on its faces. Die B has a one, a three, a
Nonamiya [84]

Answer:

a) E(A) = 2 \frac{2}{6} + 3 \frac{1}{6} + 5\frac{1}{6} + 10 \frac{1}{6} + 14\frac{1}{6}=6

E(B) = 1 \frac{1}{6} + 3 \frac{1}{6} + 5\frac{1}{6} + 7 \frac{1}{6} + 9\frac{1}{6} + 11 \frac{1}{6}=6

b) P(A>B) =\frac{16}{36}= \frac{4}{9}

P(B>A) =\frac{18}{36}= \frac{1}{2}

c) (i)

If the goal is to obtain a higher score than an opponent rolling the other die, It's better to select the die B because the probability of obtain higher score than an opponent rolling the other die is more than for the die A. Since P(B>A) > P(A>B)

(ii)

We see that the expected values of both the dies A and B were equal, so then a roll of any of the two dies would get us the maximum value required.

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The expected value of a random variable X is the n-th moment about zero of a probability density function f(x) if X is continuous, or the weighted average for a discrete probability distribution, if X is discrete.

The variance of a random variable X represent the spread of the possible values of the variable. The variance of X is written as Var(X).  

Solution to the problem

Part a

For this case we can use the following formula in order to find the expected value for each dice.

E(X) =\sum_{i=1}^n X_i P(X_i)

Die A has 2 twos, 1 three, 1 five, 1 ten, and 1 fourteen on its faces. The total possibilites for die A ar 2+1+1+1+1= 6

And the respective probabilites are:

P(2) = \frac{2}{6}, P(3)=\frac{1}{6}, P(5) =\frac{1}{6}, P(10)=\frac{1}{6}, P(14) = \frac{1}{6}

And if we find the expected value for the Die A we got this:

E(A) = 2 \frac{2}{6} + 3 \frac{1}{6} + 5\frac{1}{6} + 10 \frac{1}{6} + 14\frac{1}{6}=6

Die B has a one, a three, a five, a seven, a nine, and an eleven on its faces

And the respective probabilites are:

P(1) = \frac{1}{6}, P(3)=\frac{1}{6}, P(5) =\frac{1}{6}, P(7)=\frac{1}{6}, P(9) = \frac{1}{6}, P(11)=\frac{1}{6}

And if we find the expected value for the Die A we got this:

E(B) = 1 \frac{1}{6} + 3 \frac{1}{6} + 5\frac{1}{6} + 7 \frac{1}{6} + 9\frac{1}{6} + 11 \frac{1}{6}=6

Part b

Let A be the event of a number showing on die A and B be the event of a number showing on die B.

For this case we need to find P(B>Y) and P(B>A).

First P(A>B):

P(A>B) = P(A -B>0)

P(\frac{(A-B)-E(A-B)}{\sqrt{Var(A-B)}} > \frac{0-E(A-B)}{\sqrt{Var(A-B)}})

We can solve this using the sampling space for the experiment on this case we have 6*6 = 36 possible options for the possible outcomes and are given by:

S= {(2,1),(2,3),(2,5),(2,7),(2,9),(2,11), (2,1),(2,3),(2,5),(2,7),(2,9),(2,11), (3,1),(3,3),(3,5),(3,7),(3,9),(3,11), (5,1)(5,3),(5,5),(5,7),(5,9),(5,11), (10,1),(10,3),(10,5),(10,7),(10,9),(10,11), (14,1),(14,3),(14,5),(14,7),(14,9), (14,11)}

We need to see how in how many pairs the result for die A is higher than B, and we have:  (2,1), (2,1), (3,1), (5,1), (5,3), (10,1), (10,3), (10,5), (10,7), (10,9), (14,1), (14,3),(14,5),(14,7),(14,9), (14,11). so we have 16 possible pairs out of the 36 who satisfy the condition and then we have this:

P(A>B) =\frac{16}{36}= \frac{4}{9}

And for the other case when B is higher than A we have this: (2,3), (2,5), (2,7), (2,9), (2,11), (2,3), (2,5), (2,7), (2,9), (2,11), (3,5), (3,7), (3,9), (3,11), (5,7), (5,9), (5,11), (10,11). We have 18 possible pairs out of the 36 who satisfy the condition and then we have this:

P(B>A) =\frac{18}{36}= \frac{1}{2}

Part c

(i)

If the goal is to obtain a higher score than an opponent rolling the other die, It's better to select the die B because the probability of obtain higher score than an opponent rolling the other die is more than for the die A. Since P(B>A) > P(A>B)

(ii)

We see that the expected values of both the dies A and B were equal, so then a roll of any of the two dies would get us the maximum value required.

7 0
3 years ago
Omg someone pleaseeee help me!!! 30 points!!!
Crank

add the volume of a cone, V=1/3 pi times radius squared times h. The volume of the cone is V=355. Then you add the volume of the cone to the volume of the cylinder. the formula for the volume of a cylinder is V= pi times radius squared times h. So the volume of the cylinder will be V=923. if you add those two together the overall volume is 1,278.

8 0
4 years ago
The cost of 2kg apples and 3 kg oranges is Rs. 120. [Take x and y as the cost per kg of apples and oranges respectively.]
stiv31 [10]

Step-by-step explanation:

2+3=120

5=120

=120

5

=24

apple=2 multiply 24 is 48

orange=3 multiply 24 is 72

6 0
1 year ago
THIS IS SCIENCE NOT MATH I MARKED IT WRONGPLZ HELP!!!! I WILL MARK BRAINLIEST. I NEED THIS ASAP!!!!! The greater the difference
Alenkinab [10]

Answer:lowe,cooler,humid,stronger

Step-by-step explanation:

5 0
3 years ago
Read 2 more answers
A researcher would like to investigate whether or not there is a difference in IQ between Psychology and History majors. She gat
Over [174]

Answer:

Paired t test

H0 : μd = 0

H1 : μd > 0

Critical value = 3.499

Test statistic = 2.230

Reject H0 if test statistic > Critical value

Kindly check explanation.

Step-by-step explanation:

Given the data :

110 90 120 98 100 100 90 110

124 100 102 120 110 110 123 120

The hypothesis :

H0 : μd = 0

H1 : μd > 0

Tcritical value, df = n - 1 = 8 - 1 = 7

Tcritical(0.01, 7) = 3.499

The difference, d = (-14,-10,18,-22,-10,-10,-33,-10)

The test statistic :

Xdbar / Sd/√n

The mean difference, Xdbar = Σx / n = - 11.375

The standard deviation of difference, Sd = 14.431

The test statistic :

-11.375 / (14.431/√8) ;

-11.375 / 5.102

= 2.230

Decison :

Reject H0 if test statistic > Critical value

Since ; 2.230 <3.499 ;

We fail to reject the null

7 0
3 years ago
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