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mr Goodwill [35]
3 years ago
7

Mrs.mayuko paid 40.68 for 3kg of sheimp whats the cost of 1 kilogram of shrimp

Mathematics
2 answers:
Dimas [21]3 years ago
8 0
13.56 for 1kg of shrimp
Rus_ich [418]3 years ago
8 0
Divide it by 40.68 by 3 to get 13.56 as your answer.
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11 points
anyanavicka [17]

Answer:

9.100

9.10,00

1. 1,098,000

1.109,800,000

5 0
2 years ago
To enter a local fair, one must pay an entrance fee and pay for the number of ride tickets he/she wants. Admission to the fair i
Xelga [282]

Answer:

A - $10

Step-by-step explanation:

The equation f(x) = 0.50x + 10 is in the form

y = mx + c where m is the gradient and c is the intercept.

The price of the entrance fee will be the intercept because that is when x is equal to 0, meaning it will be $10.

3 0
3 years ago
Read 2 more answers
Find the common ratio 24,18,37/2,81/8
Vinil7 [7]

Note: The third term of the sequence should be \dfrac{27}{2} instead of \dfrac{37}{2}, otherwise the sequence has no common ratio.

Given:

The given sequence is

24,18,\dfrac{27}{2},\dfrac{81}{8}

To find:

The common ratio of the given sequence.

Solution:

The quotient of each pair of consecutive terms are:

\dfrac{18}{24}=\dfrac{3}{4}

Similarly,

\dfrac{\dfrac{27}{2}}{18}=\dfrac{27}{36}

\dfrac{\dfrac{27}{2}}{18}=\dfrac{3}{4}

And,

\dfrac{\dfrac{81}{8}}{\dfrac{27}{2}}=\dfrac{81}{8}\times \dfrac{2}{27}

\dfrac{\dfrac{81}{8}}{\dfrac{27}{2}}=\dfrac{3}{4}

Therefore, the common ratio of the given sequence is \dfrac{3}{4} or 0.75.

8 0
3 years ago
Suppose a different student reaches in the bag, randomly selects their twenty chips, and estimates that 60% of the students are
djyliett [7]
12 chips if you are trying to find 60% of 20
8 0
3 years ago
A regional planner employed by a public university is studying the demographics of nine counties in the eastern region of an Atl
Brilliant_brown [7]

Answer:

Step-by-step explanation:

Hello!

Given the variables:

X₁: Median Age

X₂: Median Income

b) Considering it from a logical point of view, income changes with age, for example, the more experienced the worker is you would think he would get a better paying job than a younger worker who is just starting. Then the dependent variable will be the median income and the independent variable will be the median age.

a)  and c)

To see if there is a linear regression between the median income and median age you have to conduct a hypothesis test for the slope. If the slope is equal to zero, there is no linear regression between the two variables, if it is different to zero, there is a regression between the two of them:

H₀: β=0

H₁: β≠0

α: 0.05

t= \frac{b-\beta }{Sb} ~~t_{n-2}

The estimated regression equation for this regression ^Yi= 20.01 + 0.50X

The standard deviation for the slope is Sb= 0.11

t_{H_0}= \frac{0.50-0}{0.11} = 4.545

And the p-value for the test is 0.0022

The p-value is less than the level of significance I choose, so the decision is to reject the null hypothesis. You can conclude that there is a linear regression between these two variables.

The correlation coefficient between the median income and the median age is r= 0.87 ⇒ This means you could expect a positive and strong linear correlation between the two variables.

d)

The slope represents how much the variable Y is modified whenever the variable X increases one unit.

In this example: Is the modification of the population mean of the median income, when the median age increases one year.

5 0
3 years ago
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