Sonya paid $4.39 for a hero. She paid $0.95 for an orange and $1.67 for a drink. What is the total amount Sonya paid for all three items?

Answer:

hello! As I think it is 2p coin but not sure

Answer:

35u³w⁶

Step-by-step explanation:

Given:

5u²w³

and

7uw³

Find:

Product

Computation:

5u²w³ x 7uw³

35u³w⁶

Hyp²=ADJ²+OPP²

28²=17²+X²

784=289+x²

x²=784-289

x²=495

x=22

here is your answer 22

hope it helps you ❣️

Answer:

10.25%

Step-by-step explanation:

Let the original number be represented with x.

Increase by 5% = 5% of x = 5/100 x X = 0.05x

So, the next number = x + 0.05x = 1.05x

Increase again by 5% = 5% of 1.05x = 5/100

x1.05x = 0.05 x 1.05x = 0.0525

So, the current number = 1.05x + 0.0525x =1.1025x

[tex] \frac{1.1025x - x}{x} = 0.1025 \times 100 = 10.25\%[/tex]

Answer:

0.8

Step-by-step explanation:

0.4*2=0.8

hope this helps.

Answer:

Hiiiiiiiiiiiii Picture pls?

Step-by-step explanation:

:))

Answer:

column

Step-by-step explanation:

hope it will help you

Answer:

B. Columns

Step-by-step explanation:

Dijo "Resuelva las siguientes operaciones matemáticas en su cuaderno", pero no indicó su cuaderno en la pregunta. Por favor arregle esto.

Since all sides of a square are the same, the area of a square is one side squared.

Meaning if a square had a side of 4, the area would be 16 since 4 squared is equal to 16.

The opposite is to square root the area. If you calculate the square root of 16, you get 4.

In this situation, we have to square root "[tex]25x^{2}[/tex]." We can split the area up into "25" and [tex]x^{2}[/tex]. The square root of 25 is 5, and the square root of x squared is just x. Multiply 5 and x together, you get 5x.

Easy as that, you get your answer!

5x

Answer:5%

Step-by-step explanation:

The probability is equal to the ratio of the number of favourable outcomes and the total number of outcomes. Here the percentage that the person is surveyed under 40 and read newspaper is 5%. The correct option is B.

Probability is the measure of the likelihood of an event to occur. Many events cannot be predicted with total certainty. We can only predict the chance of an event to occur. The probability of all the events in a sample space adds up to 1.

The value is expressed from zero to one. Here zero means the event is impossible.

Here the total person under 40  = 40

The total number of persons = 80

Those who read the newspapers under 40 = 4

Then the probability is given as:

4 / 40 × 40 / 80 × 100 = 0.05 × 100 = 5%

Thus the percentage of persons who read newspaper is 5%.

Thus the correct option is B.

To know more about Probability, visit;

https://brainly.com/question/24159069

#SPJ7

Answer:

D

Step-by-step explanation:

d

Answer:

[tex]\huge\boxed{\sf Rhombus}[/tex]

Step-by-step explanation:

When we plot the given vertices on a graph, We get a shape which has the following characteristics.

=> Opposite angles are equal.

=> The diagonals are perpendicular to each other.

=> Opposite sides are parallel to each other.

=> Sum of adjacent angles in equal to 90 degrees.

But, the shape does not seem to be like pentagon, square and rectangle. Hence, It's a rhombus.

See the attached file!

[tex]\rule[225]{225}{2}[/tex]

Hope this helped!

Answer:

<D = 82°

<E = 49°

<F = 49°

Step-by-step explanation:

This is an isosceles triangle because two of the sides are the same length which means the 2 bottom angles are the exact same which means we can set them equal to each other to solve for it.

Answer: D. Zero

Step-by-step explanation:

It’s a flat line. Flat horizontal lines are ALWAYS zero

Answer: Honestly, they wouldn't really look at your clubs and attendance for sports for Middle School. They would most likely check for High School and beyond that.

I would just have fun while you can. Or try getting into a good High School with good academics scoring for a good chance to get selected to a dream college. Hope this help!

Edit: If there's programs for college- then try taking them! But I doubt it'll catch the eyes of those who look through college applications for how strict they are.

Answer:

you actually should its way better that you do because joining all the clubs they have in school can help YOU and your record.

Answer:

d. 9x + 63 and 63 square feet

Step-by-step explanation:

Given

Original

[tex]Length = x[/tex]

[tex]Width = 9[/tex]

Extended

[tex]Length = x + 7[/tex]

[tex]Width = 9[/tex]

[tex]Area = 9(x + 7)[/tex]

Required

Determine an expression and the value of the extended area

First, we calculate the area of the original desk

[tex]A_1 = x * 9[/tex]

[tex]A_1 = 9x[/tex]

From the given parameters, we have:

[tex]Area = 9(x + 7)[/tex] --- area of the new surface

Open bracket

[tex]Area = 9x + 63[/tex]

The area of the new surface is the summation of the area of the original desk and the area of the extended portion (E)

So:

[tex]Area = A_1 + E[/tex]

Make E the subject

[tex]E= Area - A_1[/tex]

[tex]E= 9x + 63 - 9x[/tex]

[tex]E= 63[/tex]

Hence, the area of the extended portion is 63

Answer:

Brainliest????

Step-by-step explanation:

X=23°

Answer:

The answer is option B. 240

Answer:

a) 0.5 = 50% of flanges exceed 1 millimeter.

b) A thickness of 0.96 millimeters is exceeded by 90% of the flanges

Step-by-step explanation:

A distribution is called uniform if each outcome has the same probability of happening.

The uniform distributon has two bounds, a and b, and the probability of finding a value higher than x is given by:

[tex]P(X > x) = \frac{b - x}{b - a}[/tex]

The thickness of a flange on an aircraft component is uniformly distributed between 0.95 and 1.05 millimeters.

This means that [tex]a = 0.95, b = 1.05[/tex]

(a) Determine the proportion of flanges that exceeds 1.00 millimeters.

[tex]P(X > 1) = \frac{1.05 - 1}{1.05 - 0.95} = \frac{0.05}{0.1} = 0.5[/tex]

0.5 = 50% of flanges exceed 1 millimeter.

(b) What thickness is exceeded by 90% of the flanges?

This is x for which:

[tex]P(X > x) = 0.9[/tex]

So

[tex]\frac{1.05 - x}{1.05 - 0.95} = 0.9[/tex]

[tex]1.05 - x = 0.9*0.1[/tex]

[tex]x = 1.05 - 0.9*0.1[/tex]

[tex]x = 0.96[/tex]

A thickness of 0.96 millimeters is exceeded by 90% of the flanges

Answer: #1: 15/12 aka 1 3/12 #2: < #3 11/9 aka 9 2/11

Step-by-step explanation: Hope it helps ya

Answer:

a. a + 10 is the correct option.

Answer:

D

Step-by-step explanation:

Answer:

first term of the pattern​ (T₁) : 10

Step-by-step explanation:

T₁  ;    1 ;    -6 ;   T₄ ;    -14  

1-T₁  ;  -6-1   ; T₄-(-6)  ; -14 -T₄    (First Tₙ-Tₙ₋₁)

-8+T₁  = T₄+13 = -2T₄-20            (2nd Tₙ-Tₙ₋₁ is constant)

T₄+13 = -2T₄-20          3T₄ = -33          T₄ = -11

-8+T₁  = T₄+13         -8 + T₁ = -11 + 13 = 2

T₁ = 10

Answer:

you just have to add everything together.

Step-by-step explanation:

H=6

E=x+5

F=12

D=9

G=6

0Answer: 9.0

Step-by-step explanation:

.

Answer:

38 remander 8

Step-by-step explanation:

Answer:

0.9544 = 95.44% probability of the resulting sample proportion being within .04 of the true proportion

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the z-score of a measure X is given by:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]s = \frac{\sigma}{\sqrt{n}}[/tex].

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean [tex]\mu = p[/tex] and standard deviation [tex]s = \sqrt{\frac{p(1-p)}{n}}[/tex]

20% of the residents in a certain state support an increase in the property tax. Sample of 400.

This means that [tex]p = 0.2, n = 400[/tex]

Mean and standard deviation:

Mean [tex]\mu = p = 0.2[/tex]

Standard deviation [tex]s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.2*0.8}{400}} = 0.02[/tex]

How likely is the resulting sample proportion to be within .04 of the true proportion (i.e., between .16 and .24)?

This is the pvalue of Z when X = 0.24 subtracted by the pvalue of Z when X = 0.16. So

X = 0.24

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

By the Central Limit Theorem

[tex]Z = \frac{X - \mu}{s}[/tex]

[tex]Z = \frac{0.24 - 0.2}{0.02}[/tex]

[tex]Z = 2[/tex]

[tex]Z = 2[/tex] has a pvalue of 0.9772

X = 0.16

[tex]Z = \frac{X - \mu}{s}[/tex]

[tex]Z = \frac{0.16 - 0.2}{0.02}[/tex]

[tex]Z = -2[/tex]

[tex]Z = -2[/tex] has a pvalue of 0.0228

0.9772 - 0.0228 = 0.9544

0.9544 = 95.44% probability of the resulting sample proportion being within .04 of the true proportion