what is the surface area in a square of a cube with a side of 7 inches Long​

The value of x that satisfies the system of equations is 3. Option B

From the information given, we have the simultaneous equation given as;

x+2y=11

4x-y=8

Make 'x' the subject from equation 1, we have that;

x = 11 - 2y

Now, substitute the value into equation 2, we get;

4(11-2y) - y = 8

expand the bracket, we get;

44 - 8y -y = 8

add the like terms, we have;

-9y = -36

Make 'y' the subject

y = 4

Substitute the value, we have;

x = 11 - 2y

x = 11  - 2(4)

expand

x = 3

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Answer: (3,3)

Step-by-step explanation:

Answer:sine

Step-by-step explanation:

Answer:$156

Step-by-step explanation:

SI=principal x rate x time/100

=150 x 4 x 1/100

=$6

amount = principal+SI

=150+6

=$156

Answer:

The answer is 6.8

Step-by-step explanation:

Check on your calculator 6.8^2 equals 46

If all other factors are held constant, decreasing the significance level results in an increase in the probability of a type II error. This is true. we can say that the probability of making a type II error increases when the significance level is lowered.

What is a type II error? In hypothesis testing, a type II error occurs when a false null hypothesis is not rejected. When there is a real effect and the null hypothesis is false, this happens. It's a mistake that occurs when a researcher fails to reject a false null hypothesis.

A false negative is another term for a type II error. The power of the test, the size of the sample, the confidence level, and the effect size are all factors that influence the probability of making a type II error. Only if we decrease the significance level can the probability of a type II error be increased.

What is the significance level? The significance level is also known as alpha. It is the probability of rejecting a null hypothesis when it is true. It is represented by α. It is usually set at 0.05 or 0.01 in most studies. When the significance level is lowered, the probability of making a type I error decreases, but the probability of making a type II error increases. Therefore, we can say that the probability of making a type II error increases when the significance level is lowered.

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Answer:

14cm 54cm 48cm

Step-by-step explanation:

find the answer

The maximum amount of mushrooms Alberto can eat in a day is 4 kg.

Alberto can eat at most 4 kg of mushrooms in a day. If he picks 4 kg of mushrooms himself, he will not gain any monetary profit, and if he picks oranges, the monetary gain will be less than picking mushrooms.

He can sell mushrooms in the market for 514.79 per kg, whereas he can sell oranges for 38.7 per kg. It is evident that he will gain a lot of monetary profit by selling mushrooms rather than oranges.

Alberto can buy mushrooms from the market and sell them for a higher price. But it does not mean that he can eat more mushrooms. Alberto can consume a maximum of 4 kg of mushrooms whether he picks them himself or buys them from the market.

Therefore, the maximum amount of mushrooms Alberto can eat in a day is 4 kg.
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Answer:

C. 20

8 cycles for 1 inch, times 2 is 16, + 4 is 20

Answer: D. 2

Step-by-step explanation:

-3t + 6 = 0

1. Subtract 6 from each side

-3t + 6 - 6 = 0 - 6

-3t = -6

2. Divide each side by -3 to isolate t and get the answer to the equation

-3t/-3 = -6/-3

t = 2

You can check your answer by plugging your calculated value back into the equation and evaluating to find that 0 = 0.

Given:

The temperature on the moon can vary from -172 to -126 degrees Celsius.

To find:

The difference between the maximum and minimum temperatures.

Solution:

It is given that the temperature on the moon can vary from -172 to -126 degrees Celsius.

Since \(-172 <-126\), therefore the minimum temperature is -172 and the maximum temperature is -126.

The difference between the maximum and minimum temperatures is:

Difference = Maximum temperature - Minimum temperature

\(\text{Difference}=-126-(-172)\)

\(\text{Difference}=-126+172\)

\(\text{Difference}=46\)

Therefore, the difference between the maximum and minimum temperatures is 46 degrees Celsius.

Answer:

x+2

Step-by-step explanation:

\( \frac{x ^{2} + 4x + 4 }{x + 2} \\ \frac{(x) ^{2} + 2 \times x \times 2 + (2) ^{2} }{x + 2} \\ \ \frac{(x + 2) ^{2} }{x + 2} \\ \frac{(x + 2)(x + 2)}{x + 2} \\ x + 2\)

1. In 2008, there were approximately 28.2 million live Christmas trees sold in the U.S

2. The linear regression equation that models the set of data above is C = 0.28t + 27.28.

3. From 2004 to 2011, the number of Christmas trees sold in the U.S. increased by approximately 0.28 million trees each year.

4. In 2008, there were approximately 28.4 million live Christmas trees sold in the U.S.

5. Why is this the case: A. The data are not perfectly linear. The regression equation gives only an approximation.

By using the data values in the table, the number of live Christmas trees that were sold in the year 2008 can be calculated as follows;

t = 0 + (2008 - 2004) years.

t = 4 years.

At t = 4 years on the table, approximately 28.2 million live Christmas trees sold in the U.S.

Part 2.

Based on the table, we can logically deduce that the y-intercept or initial value is (0, 27.1).

y = mx + b ≡ C = mt + b

b = (547.6 - 538.6)/(105 - 72.2)

b = 0.28

Therefore, the required linear regression equation is given by;

C = 0.28t + 27.28

Part 3.

Based on the slope of the above linear regression equation, the number of Christmas trees sold in the U.S. from 2004 to 2011 increased by approximately 0.28 million trees each year.

Part 4.

For the number of live Christmas trees sold in year 2008, we have:

C(4) = 0.28(4) + 27.28

C(4) = 28.4 million.

Part 5.

The answers to parts 1 and 4 are different because the data set do not have a perfectly linear relationship and the linear regression equation gives only an approximated value, not an exact value.

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Answer:

6/25

Step-by-step explanation:

Answer:

6/25

Step-by-step explanation:

100 divided by 25 is 4 and 4 multiplied by 6 is 24

Answer:

120 degrees

Step-by-step explanation:

it is literally the same as the other side

The expression 2^7 times 19 can be simplified by first evaluating the exponential term, 2^7, which is equal to 128. Therefore:2^7 times 19 = 128 * 19We can then evaluate the product of 128 and 19 using multiplication. When we do that, we get:2^7 times 19 = 2432Therefore, the choice that is equivalent to the expression 2^7 times 19 is 2432

Answer and Step-by-step explanation:

The answer that we have agreed upon is answer choice 2, C, A, B.

This is because the first distance is found, and could possibly be the hypotenuse, noted as C, then the other two sides are created, becoming the legs of a triangle, noted as A and B respectively.

I hope this helps and is correct!

#teamtrees #PAW (Plant And Water)

Answer:

y=-3x+4

Step-by-step explanation:

im assuming that you need the equation of the table

to find slope, y2-y1/x2-x1    10-4/-2-0

6/-2=-3   slope=-3  

y=mx+b   just sub in the numbers from a point in the table

10=-3(-2)+b

10=6+b

b=4

y=-3x+b

Answer:

c

Step-by-step explanation:

_6x -9y =15

_6x÷3=-2x

9y÷3=3y

15÷3=5

so,_2x -3y =5

Answer:

Step-by-step explanation:

Equations:

Subtract the second equation from the first:

Create equations

\(\\ \tt\Rrightarrow 8x+14y=254--(1)\)

\(\\ \tt\Rrightarrow x+14y=191--(2)\)

Substract eq(2) from eq(1)

\(\\ \tt\Rrightarrow 7x=63\)

\(\\ \tt\Rrightarrow x=\dfrac{63}{7}\)

\(\\ \tt\Rrightarrow x=9\)

The histogram in Figure 2.16 shows that the distribution of waiting times is skewed to the right and not symmetrical.

Histograms are visual representations of the distribution of a dataset.

In order to determine whether the empirical rule is appropriate for describing the distribution of bank customer waiting times, we need to examine the histogram in Figure 2.16.

Looking at the histogram, we can see that the distribution of waiting times is not perfectly symmetrical.

The shape of the histogram is not exactly bell-shaped, which is what we would expect if the data were normally distributed. Instead, it is skewed to the right.

In conclusion, the histogram in Figure 2.16 indicates that the empirical rule is not appropriate for describing the distribution of bank customer waiting times. This is because the waiting times are not normally distributed and do not follow a symmetrical, bell-shaped curve.

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Answer:

28.72

Step-by-step explanation:

Did the math

The rate of change of the function that has a graph that passes

through the points (-1, 3) and (-2,-4) is slope and is equal to 7.

We have given two points  (-1, 3) and (-2,-4) .

Rate of change of graph is given by slope

Using slope formula , we get

      m = -4 - 3 / -2 - (-1)

      m = -7 / -2 + 1

      m = -7 / -1

       m = 7

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Answer:

D. Acute

Step-by-step explanation:

Acute because both <A and <B are less then 90 degrees

Hope this helps :).

Answer:

Option A

Step-by-step explanation:

Given :-

We need to find the relationship between a and b. Also we know that the measure of angle of straight line is 180 ° .

According to Question :-

\(:\implies\) a + b + 90° = 180°

\(:\implies\) a + b = 180° - 90°

\(:\implies\) a + b = 90°

Answer:

Step-by-step explanation:

30 i think

Answer:

12

Step-by-step explanation:

To compare the profiles of temperature and salinity for Argo Float 108683 in the Eastern Tropical North Pacific on April 16, 2012 (Profile 001) and April 16, 2016 (Profile 138), follow these steps:

Locate the data: Visit the Argo Data Management site (http://www.argodatamgt.org/) and search for Argo Float 108683 using the ArgosID. Download the data for the specific dates (April 16, 2012, and April 16, 2016).

Plot the graphs: Using a data analysis tool like Excel or Python, create plots of temperature with depth and salinity with depth for both profiles. Ensure that you label the axes and include units.
Compare the profiles: Examine the shapes of the temperature and salinity profiles for both years, focusing on the mixed layer depth and the main thermocline depths.

Based on general ocean circulation, we would expect temperature profiles in the Eastern Tropical North Pacific to show a well-mixed layer near the surface with a rapid temperature decrease below the mixed layer depth, leading to the main thermocline.

Differences between years could be attributed to several factors, such as variations in seasonal weather patterns, changes in ocean circulation, or anomalies like El Niño events. These factors could affect the mixed layer depth, main thermocline depths, and surface features, leading to differences in the temperature and salinity profiles for the two years.

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