what's
\(1024 \div 256\)
​

Answer:

7/5

Step-by-step explanation:

2−x+10−4x=5

2−x+10−4x=5

2+−x+10+−4x=5

(−x+−4x)+(2+10)=5(Combine Like Terms)

−5x+12=5

−5x+12=5

−5x+12−12=5−12

−5x=−7

−5x /−5 = −7 /−5

x= 7 /5

Answer:

48% for number 1

step-by-step explanation :

All you have to do is divide the numerator by the denominator and then multiply that result with 100 like so

Answer:

C

Step-by-step explanation:

percentage of adults who use the toothpaste =

\( \frac{0.008}{0.75} \times 100\% = 10.66666666666 \%\)

Approximately it is 11%

percentage of children who use the toothpaste =

\( \frac{0.06}{0.25} \times 100\% = 24\%\)

Answer:

Step-by-step explanation:

320000 is your answer

Answer:

40%

Step-by-step explanation:

Due to no match in linear model and residual plot, the correct option is B - Yes, there is no clear pattern in the residual plot.

What is linear model?

Depending on the context, the phrase "linear model" is used differently in statistics. The word is frequently used interchangeably with a linear regression model since it occurs most frequently in relation to regression models.

The linear model displays a straight line.

The line is at the origin (0,0).

The residual plot is a curve plot.

It does not match the linear plot model.

The residual plot is far from same as the linear model.

Therefore, there is no clear pattern in the residual plot.

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To find a quadratic equation with the y-intercept and vertex, follow these steps: identify the coordinates of the y-intercept and vertex, substitute them into the general form of the quadratic equation, solve for the coefficients, and substitute the coefficients back into the equation. For example, if the y-intercept is (0, 3) and the vertex is (-2, 1), the quadratic equation would be y = x^2 + x + 3.

To find a quadratic equation with the y-intercept and vertex, we can follow these steps:

For example, let's say the y-intercept is (0, 3) and the vertex is (-2, 1). We can substitute these coordinates into the general form of the quadratic equation:

3 = a(0)^2 + b(0) + c

1 = a(-2)^2 + b(-2) + c

Simplifying these equations, we get:

c = 3

4a - 2b + c = 1

By substituting c = 3 into the second equation, we can solve for a and b:

4a - 2b + 3 = 1

4a - 2b = -2

2a - b = -1

By solving this system of equations, we find a = 1 and b = 1. Substituting these values back into the general form of the quadratic equation, we obtain the final equation:

y = x^2 + x + 3

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To find a quadratic equation with a given y-intercept and vertex, you need the coordinates of the vertex and one additional point on the curve.

Example:

Suppose we want to find a quadratic equation with a y-intercept of (0, 4) and a vertex at (2, -1).

To find a quadratic equation with a given y-intercept and vertex, you can use the vertex form of a quadratic equation and substitute the coordinates to obtain the equation. Then, use the y-intercept to find an additional point on the curve and solve a system of equations to determine the coefficients. Finally, substitute the coefficients into the standard form of the quadratic equation to get the final equation.

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A student's probability of having a sister are 1/2 or 0.5 if they do not have a brother.

Using the above data table, we must determine the likelihood that a student without a brother also has a sister. Analysing the table now

has a sibling: 5

possesses no sisters: 2

has an 18-year-old brother

possesses no brothers: 4

We are looking for the likelihood that a student has a sister and neither a brother (as indicated by the statement "Does not have a brother"). In this instance, there are two children who do not have a brother but do have a sister, making that number the number of positive outcomes.

No matter whether a student has a sister or not, the total number of outcomes is equal to the number of students who do not have a brother. According to the table, there are 4 students without brothers.

As a result, the likelihood that a student who doesn't have a brother will have a sister can be determined as follows:

Probability is calculated as the ratio of the number of favourable outcomes to all possible outcomes.

Probability equals 2/4

Probability equals 0.5 or half.

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Answer:parallel

Step-by-step explanation:

BAHAHA I SAW MY NAME AND GOT SO SCARED

1st problem: 6/y^4

first, we express it with positive exponents.

6 x 1/y^4

then, we just calculate it.

6/y^4

2nd problem: (1/64)a^7 (the a^7 isn't just on the bottom part, it goes in the front of the fraction)

first, i expressed it with a positive exponent.

1/8^2 x a^7

then, i evaluated that.

(1/64)a^7

Answer:

A) 234 feet

B) Area of new parking lot = 28080 square feet

C) The new parking lot will be able to fit 20 more cars than the original parking lot.

Step-by-step explanation:

We are given the following information:

Length of parking lot = 180 feet

Width of parking lot = 120 feet

Number of cars that can be parked = 75

A) Increase in length  = 30%

New length =

B) New area =

C) Space required by 1 car = 288 square feet

Number of cars we want to fit = 75 + 20 = 95

Area required =

Hence, the new parking lot will be able to fit 20 more cars than the original parking lot.

Answer:

i think ur saying that j=4 so the answer is 13

just 4+9

Step-by-step explanation:

Using the rule of PEMDAS, the solution to (13 + 33 ÷ 3) over (-335 - 3 × 2), is: -24/341.

When given a complex mathematical problem, such as, (13 + 33 ÷ 3) over (-335 - 3 × 2), the rule of PEMDAS can be applied to simplify the steps to take. The problem would be solved as shown below:

(13 + 33 ÷ 3) / (-335 - 3 × 2)

Solve the bracket first according to the rule of PEMDAS. Also, note that, "division" must come before "addition", and "multiplication" must come before "subtraction".

(13 + 11) / (-335 - 6)

= 24 / -341

= -24/341

Thus, by applying the rule of PEMDAS, the solution to (13 + 33 ÷ 3) over (-335 - 3 × 2), is: -24/341.

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The predicted profit of a Burger store restaurant with $900,000 counter sales and $800,000 drive-through sales is $690,001 million.

To find the predicted profit of a Burger store restaurant with $900,000 counter sales and $800,000 drive-through sales using the provided dataset, we can follow these steps:

Step 1: Import the "Franchises Dataset" into a statistical software package like Excel or R.

Step 2: Perform regression analysis to find the equation of the line of best fit that relates the net profit (dependent variable) to the counter sales and drive-through sales (independent variables). The equation will be in the form of y = mx + b, where y is the net profit, x is the combination of counter sales and drive-through sales, m is the slope, and b is the y-intercept.

Step 3: Use the regression equation to calculate the predicted net profit for the given counter sales and drive-through sales values. Plug in the values of $900,000 for counter sales (x1) and $800,000 for drive-through sales (x2) into the equation.

For example, let's say the regression equation obtained from the analysis is: y = 0.5x1 + 0.3x2 + 1.

Substituting the values, we get:

Predicted Net Profit = 0.5(900,000) + 0.3(800,000) + 1

= 450,000 + 240,000 + 1

= 690,001 million dollars.

Therefore, the predicted profit of a Burger store restaurant with $900,000 counter sales and $800,000 drive-through sales is $690,001 million.

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The median of X is 1;  P(X > 2) = 0; P(one observation < 2 and the other > 2) = P(X < 2) * P(X > 2) = 0 * 0 = 0; Var(X) is approximately 0.33; E(X) is 1 and  the value of q such that P(X < q) = 0.95 is 1.9.

(a) To find the median of X, we need to find the value of x for which the cumulative distribution function (CDF) equals 0.5.

Since the PDF is given as f(x) = 1/2 for 0 < x < 2 and 0 otherwise, the CDF is the integral of the PDF from 0 to x.

For 0 < x < 2, the CDF is:

F(x) = ∫(0 to x) f(t) dt = ∫(0 to x) 1/2 dt = (1/2) * (t) | (0 to x) = (1/2) * x

Setting (1/2) * x = 0.5 and solving for x:

(1/2) * x = 0.5;  x = 1

Therefore, the median of X is 1.

(b) To find P(X > x), we need to calculate the integral of the PDF from x to infinity.

For x > 2, the PDF is 0, so P(X > x) = 0.

Therefore, P(X > 2) = 0.

(c) To find the probability that one observation is less than 2 and the other is greater than 2, we need to consider the possibilities of the first observation being less than 2 and the second observation being greater than 2, and vice versa.

P(one observation < 2 and the other > 2) = P(X < 2 and X > 2)

Since X follows a continuous uniform distribution from 0 to 2, the probability of X being exactly 2 is 0.

Therefore, P(one observation < 2 and the other > 2) = P(X < 2) * P(X > 2) = 0 * 0 = 0.

(d) The variance of X can be calculated using the formula:

Var(X) = E(X²) - [E(X)]²

To find E(X²), we need to calculate the integral of x² * f(x) from 0 to 2:

E(X²) = ∫(0 to 2) x² * (1/2) dx = (1/2) * (x³/3) | (0 to 2) = (1/2) * (8/3) = 4/3

To find E(X), we need to calculate the integral of x * f(x) from 0 to 2:

E(X) = ∫(0 to 2) x * (1/2) dx = (1/2) * (x²/2) | (0 to 2) = (1/2) * 2 = 1

Now we can calculate the variance:

Var(X) = E(X²) - [E(X)]² = 4/3 - (1)² = 4/3 - 1 = 1/3 ≈ 0.33

Therefore, Var(X) is approximately 0.33.

(e) The expected value of X, E(X), is given by:

E(X) = ∫(0 to 2) x * f(x) dx = ∫(0 to 2) x * (1/2) dx = (1/2) * (x²/2) | (0 to 2) = (1/2) * 2 = 1

Therefore, E(X) is 1.

(f) The value of q such that P(X < q) = 0.95 can be found by solving the following equation:

∫(0 to q) f(x) dx = 0.95

Since the PDF is constant at 1/2 for 0 < x < 2, we have:

(1/2) * (x) | (0 to q) = 0.95

(1/2) * q = 0.95

q = 0.95 * 2 = 1.9

Therefore, the value of q such that P(X < q) = 0.95 is 1.9.

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the conclusion is:

these graphs are not isomorphic.

Here are the steps to determine whether the given pair of graphs are isomorphic:

Check if the number of vertices in each graph is the same. If they have a different number of vertices, they cannot be isomorphic.

Compare the degrees of vertices in each graph. If the degrees of vertices in one graph match the degrees of vertices in the other graph, it suggests the possibility of isomorphism.

Look for any specific structural properties or characteristics that are unique to one graph and not present in the other. These differences can indicate that the graphs are not isomorphic.

Based on the provided statements:

"The second graph has a vertex of degree 4, while the first graph does not."

This difference in degrees indicates that the graphs are not isomorphic.

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Answer:

I believe that it is the first one.

Step-by-step explanation:

Answer:

SAS

Step-by-step explanation:

if two sides and the included angle of one triangle are congruent to two corresponding sides and the included angle of another triangle, then the two triangles are congruent.

Answer:

Step-by-step explanation:

49 years.

Answer: P ≤ $10

Step-by-step explanation:

You have $18

You want to buy a belt that cost $8, so the money that you have tou buy a pair of jeans is $18 - $8 = $10

This means that we the range of prices P that you can afford is:

P ≤ $10

This means that the price of the jeans can be, at maximum, 10 dollars.

The composition of transformations that map ABCD to A'B'C'D' is to rotate clockwise about the origin by 90°, then reflect over the x -axis.

The coordinates of ABCD are given in the graph as,

A is (-6, 6) , B is (-4, 6) , C is (-4, 2) and D is (-6, 2)

After transformation of ABCD the coordinates changes to A'B'C'D' and are given in graph as,

A' is (6, -6) , B' is (6, -4) , C is (2, -4) and D is (2, -6)

From comparison of the initial coordinates of ABCD to that of transformed A'B'C'D' we can get that,

A(x, y) = A'(y, x)

Thus, the coordinates are observed to rotate clockwise 90° about the origin.

Also, the coordinates after transformation are reflected over the x- axis.

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Therefore, the area of the triangle is 2√5 square units, expressed in simplest radical form.

To find the area of a triangle, we can use Heron's formula, which states that the area (A) of a triangle with side lengths a, b, and c is given by:

A = √(s(s - a)(s - b)(s - c))

where s is the semi-perimeter of the triangle, calculated as:

s = (a + b + c) / 2

Given the side lengths of the triangle as 4, 3, and 3 units, we can calculate the semi-perimeter:

s = (4 + 3 + 3) / 2

= 5

Now, substituting the values into Heron's formula, we have:

A = √(5(5 - 4)(5 - 3)(5 - 3))

= √(5 * 1 * 2 * 2)

= √(20)

= 2√5

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The mean of X1 + X2 is 5, and the variance is 9. The mean of 3X1 + 4X2 is 18, and the variance is 52.

The mean of X1 + X2 is simply the sum of the means of X1 and X2, which is 2 + 3 = 5, since the two random variables are independent.

To find the variance of X1 + X2, we can use the fact that the variance of a sum of independent random variables is equal to the sum of their variances. Thus, Var(X1 + X2) = Var(X1) + Var(X2) = 4 + 5 = 9.

For 3X1 + 4X2, we can use the linearity of expectation to find the mean: E(3X1 + 4X2) = 3E(X1) + 4E(X2) = 3(2) + 4(3) = 18.

To find the variance of 3X1 + 4X2, we can use the fact that Var(aX) = a^2Var(X) for any constant a and random variable X. Thus, Var(3X1 + 4X2) = 3^2Var(X1) + 4^2Var(X2) = 9(4) + 16(5) = 52.

Therefore, the mean and variance of X1 + X2 are 5 and 9, respectively, while the mean and variance of 3X1 + 4X2 are 18 and 52, respectively

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you want a better price to pay the bill on leaderboard than a year old but the only other person would need points on a few days is a bit less expensive for you but you are going a good job in my career that will give my heart and legendary domortu for my son who loves the music he deserves as much for as a person can see it all of you can be very creative as I

Answer:

That would be wrong becuase its starting on march 2nd not March 1st, if march 1st, then it would be resoanble if she used both machines during the same day. It would be on the 17th before she uses both machines on the same day.

The Mean is 43 and Standard Error of x is 0.7225

What is Statistics?

Statistics is the study of data collection, analysis, presentation, and interpretation. Much of the early push for the subject of statistics came from government demands for census data as well as information about a range of economic operations.

We are provided with the Sample Size (n) = 16

Mean (μ) = 43

Standard Deviation (σ) = 1.7

We need to find:

Standard Error of x

So, to calculate Standard Error of x we need to find variance first

Variance = (Standard Deviation)^2

Variance = 1.7 * 1.7 = 2.89

Standard Error = Variance / √Sample Size

Standard Error = 2.89 / √16

Standard Error = 2.89 / 4

Standard Error of x is 0.7225

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Answer:

The Saint Lawrence Seaway (French: la Voie Maritime du Saint-Laurent) is a system of locks, canals, and channels in Canada and the United States that permits oceangoing vessels to travel from the Atlantic Ocean to the Great Lakes of North America, as far inland as Duluth, Minnesota, at the western end of Lake Superior.

Step-by-step explanation:

Answer:

y+4= -16(x-9)

Step-by-step explanation:

point slope form is y-y1=m(x-x1)

substitute y-(-4)= -16(x-9)

simplify y+4= -16(x-9)