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erma4kov [3.2K]
3 years ago
15

Diana ordered food for dinner last night that cost X dollars. She decided to tip the delivery driver 14%. Write a single algebra

ic expression that can be used to find the cost of Diana‘s dinner including the tip.
Mathematics
1 answer:
kakasveta [241]3 years ago
3 0

Answer: X + 14% of X

Step-by-step explanation: I dont know if this is accurate. Sorry

You might be interested in
1. Escribe como potencia los siguientes productos y luego resuelve como se indica en el ejemplo. a) 6.6.6 = 6 3 = 216 f) 11.11=
alexandr402 [8]

Answer:

(Véase la explicación para mayores detalles/See the explanation for further details)

Step-by-step explanation:

a) Tres al cubo (Three to cube):

x = 3 \times 3 \times 3

x = 3^{3}

x = 27

b) Seis al cubo (Six to cube):

x = 6 \times 6 \times 6

x = 6^{3}

x = 216

c) Cinco al cuadrado (Five squared):

x = 5 \times 5

x = 5^{2}

x = 25

d) Ocho al cuadrado (Eight squared):

x = 8 \times 8

x = 8^{2}

x = 64

e) Dos a la quinta (Two to five):

x = 2 \times 2 \times 2 \times 2 \times 2

x = 2^{5}

x = 32

f) Diez a la cuarta (Ten to four):

x = 10\times 10 \times 10 \times 10

x = 10^{4}

x = 10000

3 0
3 years ago
A company maintains a large fleet of automobiles. To check the average number of miles driven per month, a random sample of 100
Bas_tet [7]

Answer:

df=n-1=100-1=99  

Since is a two sided test the p value would be:  

p_v =2*P(t_{(99)}>2.7)=0.0082  

And since the p vaue is lower than the significance level we have enough evidence to reject the null hypothesis.

Step-by-step explanation:

Data given

\bar X=2690 represent the sample mean

s=360 represent the sample standard deviation

n=100 sample size  

\mu_o =2600 represent the value that we want to test

\alpha=0.05 represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

System of hypothesis

We need to conduct a hypothesis in order to check if the true mean of interest is different from 2600, the system of hypothesis would be:  

Null hypothesis:\mu = 2600  

Alternative hypothesis:\mu \neq 2600  

The statistic is given by:

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

Calculate the statistic

The statistic for this case is given t_{calc}=2.7

P-value

The first step is calculate the degrees of freedom, on this case:  

df=n-1=100-1=99  

Since is a two sided test the p value would be:  

p_v =2*P(t_{(99)}>2.7)=0.0082  

And since the p vaue is lower than the significance level we have enough evidence to reject the null hypothesis.

7 0
3 years ago
Find the angle between u=(8, -2) and v=(9,3) Round to the nearest tenth of a degree.
Kryger [21]

Answer:

the angle between u=(8, -2) and v=(9,3) is 32.5°

Step-by-step explanation:

u=(8,-2)=(u1,u2)→u1=8, u2=-2

v=(9,3)=(v1,v2)→v1=9, v2=3

We can find the angle between two vectors using the formula of dot product:

u . v =║u║║v║cos α   (1)

And the dot product is:

u . v = u1 v1 + u2 v2

u . v = (8)(9)+(-2)(3)

u . v = 72-6

u . v = 66


║u║=√(u1²+u2²)

║u║=√((8)²+(-2)²)

║u║=√(64+4)

║u║=√(68)

║u║=√((4)(17))

║u║=√(4)√(17)

║u║=2√(17)


║v║=√(v1²+v2²)

║v║=√((9)²+(3)²)

║v║=√(81+9)

║v║=√(90)

║v║=√((9)(10))

║v║=√(9)√(10)

║v║=3√(10)


Replacing the known values in the formula of dot product (1):

u . v =║u║║v║cos α

66 = 2√(17) 3√(10) cos α

Multiplying:

66 = 6√((17)(10)) cos α

66 = 6√(170) cos α

Solving first for cos α: Dividing both sides of the equation by 6√(170):

\frac{66}{6\sqrt{170} }=\frac{6\sqrt{170}cos \alpha}{6\sqrt{170} }

\frac{66}{6\sqrt{170}}=cos\alpha

Simplifying: Dividing the numerator and denominator on the left side of the equation by 6:

(66/6)/(6√170/6)=cosα→11/√170=cosα→cosα=11/√170

cosα=11/13.03840481→cosα=0.84366149

\alpha=cos^{-1}0.84366149\\\alpha=32.47119205^{\°}\\ \alpha=32.5^{\°}

5 0
4 years ago
Read 2 more answers
Which best describes the strength of the model? a weak positive correlation a strong positive correlation a weak negative correl
Akimi4 [234]

Correlation coefficient helps us to know how strong is the relation between two variables. The strength of the model is a strong positive correlation.

<h3>What is the correlation coefficient?</h3>

The correlation coefficient helps us to know how strong is the relation between two variables. Its value is always between +1 to -1, where, the numerical value shows how strong is the relation between them and, the '+' or '-' sign shows whether the relationship is positive or negative.

  • 1 indicates a strong positive relationship.
  • -1 indicates a strong negative relationship.
  • A result of zero indicates no relationship at all, therefore, independent variable.

Hence, the strength of the model is a strong positive correlation.

Learn more about Correlation Coefficients:

brainly.com/question/15353989

3 0
3 years ago
The area of a square is 21 more than its perimeter. find the length of a side.
Evgesh-ka [11]
The formula for area of a square is s^2 so it would be 7; the perimeter would be 7+7+7+7= 28 and the area would be 7^2= 49
4 0
3 years ago
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