x + 2x + 12y + 4 I don't know the answer can someone help me please

Type I error is We conclude that the mean is not 34 years when it really is 34 years. The correct option to this question is C.

Rejecting the null hypothesis when it is in fact true is a Type I mistake. It entails drawing conclusions about outcomes that are statistically significant when, in fact, they were just the consequence of chance or unrelated causes.

The significance level you select (alpha or ) determines the likelihood that you will make this mistake. You determined that figure at the start of your research to determine the statistical likelihood of getting your results (p-value).

The typical significance level is 0.05 or 5%. If the null hypothesis is accurate, your results only have a 5% chance or less of occurring.

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Answer:

180

Step-by-step explanation:

rotate it 90 degrees 2 times

From the graph of the piece-wise function, the cost of a package weighing 3.2 pounds would be of $10.

To find the numeric value of a function or of an expression, we have to replace each instance of the variable in the defined function or in the defined expression by the value of the input variable at which we want to find the numeric value.

On the graph of a function, we have that:

Hence the numeric value is obtained tracing a vertical line through the input, and is given by the intersection of this vertical line and the function.

Thus, cost of a package weighing 3.2 pounds would be of $10.

The graph is missing and is given by the image at the end of the answer.

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Step-by-step explanation:

\(\displaystyle \rm -2z+3-z=-4z+2 \\\\ -3z+3=-4z+2 \\\\ 4z-3z=-3+2 \\\\ \underline{z=-1 \ \ \ \ } \\\\\)

\(\large{\rm{\underline{\underline{Answer:}}}}\)

Given to solve: -2z+3-z = -4z+2

⇛ -3z + 3 = -4z + 2

⇛ -3z + 4z = 2 - 3

⇛ z = -1

Required value of z is -1. The steps we followed are: We shifted z to a single side and other numbers to other side. Then we equated to get the result.

Answer:

yes

Step-by-step explanation:

the line passes through that point.

Answer:

yes

Step-by-step explanation:

Here, x=2 and y=-1

If these points lie on the line y= 3-2x,then they must satisfy the equation of the line (also mean they must be equal)

So on solving the equations putting the value of x and y, we get

y=3-2x

or,-1=3-2*2

or,-1=3-4

Therefore, -1=-1

The equation to model the value of Maureen's car x years after purchase can be written in the form of y = a(b)^x , where y is the value of the car, x is the number of years after purchase, and a and b are constants.

Using the information given, we can find the values of a and b.

We know that the value of the car one year after purchase is $24,403.

So, we can substitute this value into the equation:

24403 = a(b)^1

We also know that the car's original value is $26,525

So we can substitute this value into the equation:

26525 = a

Now we can use these two equations to find the value of b

24403 = 26525 (b)^1

b = 24403 / 26525

b = 0.9153

So the final equation is:

y = 26525 (0.9153)^x

where y is the value of the car, x is the number of years after purchase, and a = 26525 and b = 0.9153

Answer:

I didn’t know if I was solving for x or for y but I believe that the answer is x=75-y

Step-by-step explanation:

Solve by simplifying both sides of the equation, then isolating the variable.

Answer:

1900 km

Step-by-step explanation:

train = 1050km

bus = 200 less than train or 1050-200 = 850

1050+850=1900

Answer:

625, just got it right

Step-by-step explanation:

Answer: 1 1/4 ft each part

Step-by-step explanation: 8 3/4 divided by 7 is 1 1/4

(8.75 / 7 = 1.25)

False , the variance and standard deviation are not measures of central location

Given data ,

The variance and standard deviation are not measures of central location but measures of dispersion or spread of a dataset

Measures of central location include the mean, median, and mode, which represent the typical or central value of a dataset

The variance and standard deviation are measures of dispersion or spread in a dataset. They provide information about how the values in a dataset are spread out around the mean.

In order to understand the variability or dispersion of data points within a dataset, one must take into account both the variance and standard deviation. They provide information on the range of values and aid in calculating how far away from the mean certain data points are. In statistics and data analysis, these metrics are frequently used to comprehend and evaluate the variance of various datasets.

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Answer:

\(\frac{49}{4}\)

Step-by-step explanation:

Given

x² + 7x

To complete the square

add ( half the coefficient of the x- term )²

x² + 2( \(\frac{7}{2}\) )x + (\(\frac{7}{2}\) )²

= x² + 7x + \(\frac{49}{4}\)

= (x + \(\frac{7}{2}\) )² ← perfect square

Step-by-step explanation:

this question is kinda tricky

Answer:

the slope is 1

the y-int is -2

Answer:

Slop=1  y-intercept=-2

Step-by-step explanation:

Answer:

mean is 4.86

mean absolute deviation is 4.86

Step-by-step explanation:

Answer:

7 1/2 m

Step-by-step explanation:

C = πd

in this problem, d = 15 which means that r = 15/2 or 7 1/2

Answer:

x should be 20

Answer:

f(x) = -1/x^2 + 4e^x + 5x + 1 + 1/x - 4e^(-1)

Step-by-step explanation:

We can find the function f(x) by integrating f'(x) with respect to x:

â«f'(x) dx = â«(2/(x^3) + 4e^x + 5) dx

f(x) = -1/x^2 + 4e^x + 5x + C

To find the constant C, we can use the given initial conditions:

f(-1) = 1 = -1/(-1)^2 + 4e^(-1) - 5 + C

C = 1 + 1/1 - 4e^(-1)

f(x) = -1/x^2 + 4e^x + 5x + 1 + 1/x - 4e^(-1)

Therefore, the function f(x) is:

f(x) = -1/x^2 + 4e^x + 5x + 1 + 1/x - 4e^(-1)

Answer:

. JUST LOAD

Step-by-step explanation:

Based on the limited information in the graph, it appears that there is a positive correlation between age and salary.

As age increases, the average salary tends to increase as well. It appears that there is a positive correlation between age and salary, as the average salary tends to increase with age until around 50 years old.

However, because the data is incomplete, I cannot accurately determine the strength of the correlation coefficient, it is difficult to determine whether the correlation is "fairly strong" or not.

Therefore, the statement is mostly true, but cannot be confirmed with certainty without additional information.

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Answer:

8

Step-by-step explanation:

Answer:

she can get 8 picture frames with 14 extra dollars

Step-by-step explanation:

Step-by-step explanation:

Interior angles of a 5-gon    sum to   ( 5-2)(180 = 540 degrees

smallest angle =x

largest angle = x + 4d    

          where d is the arithmetic sequence common difference

x + 4d     -x     =  44    shows d = 11

then    x    + x+d    + x+2d   + x+3d   + x + 4d = 540

      5x + 10d = 540      we know d = 11

       5x + 10(11) = 540

         5x = 430

           x = smallest angle = 86 degrees

The smallest interior angle of the pentagon is 86 degrees. This was found by setting up an equation involving the common difference "d" in the arithmetic sequence of angles and solving for "x."

Let's denote the five interior angles of the pentagon as follows:

Let the smallest angle be "x" degrees.

The other four angles form an arithmetic sequence, so we can represent them as x + d, x + 2d, x + 3d, and x + 4d, where "d" is the common difference between the angles.

Now, we know that the difference between the largest angle and the smallest angle is $44^\circ$. Therefore, we can write the equation:

(x + 4d) - x = $44^\circ$

Simplify and solve for "d":

4d = $44^\circ$

Now, divide both sides by 4 to find the value of "d":

d = $44^\circ / 4 = $11^\circ

Now that we know the common difference "d" is $11^\circ", we can find the smallest angle "x" by using the equation for the sum of angles in a pentagon, which is 540 degrees:

x + (x + d) + (x + 2d) + (x + 3d) + (x + 4d) = 540

Simplify and solve for "x":

5x + 10d = 540

5x + 10($11^\circ) = 540

5x + $110 = 540

Now, subtract $110 from both sides:

5x = 540 - $110

5x = $430

Finally, divide by 5 to find the smallest angle "x":

x = $430 / 5 = $86

So, the smallest angle of the pentagon is $86 degrees.

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The expression that represents the relationship between the step number n and the total number of small squares in the pattern is this: (n-1)^2.

From the given information, we can see that the pattern starts with 0 squares at step 1, and each subsequent step adds a square to the pattern. However, the lower right square is always missing. Therefore, the total number of small squares in the pattern at step n can be represented by the expression: (n-1)^2

The reason we subtract 1 from n is that we started counting from step 1, whereas the expression (n-1)^2 assumes that we start counting from 0. Then we square (n-1) to account for the number of squares in the pattern, excluding the missing square in the lower right corner.

Complete Question:

Which expression represents the relationship between the step number n and the total number of small squares in the pattern?

A pattern of small squares. Step 1 has 0 squares. Step 3 has 3 squares: 2 by 2 but missing the lower right square. Step 3 has 8 squares: 3 by 3 but missing the lower right square.

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Scores range from 80 to 99, with scores exceeding 99 and scores falling below 60 points.

In the given range of scores, which spans from 80 to 99, it encompasses a range of values that are considered satisfactory and relatively high. These scores reflect a level of achievement or performance within a specific context, such as academic grading or test results. Additionally, it is important to note that there are scores that exceed 99, indicating exceptional performance or outstanding results. On the other hand, there are also scores below 60, which indicate lower levels of achievement or performance. These scores may require further attention or improvement in order to reach a more desirable outcome. The varying range of scores allows for a comprehensive evaluation of individuals or entities based on their performance, highlighting both strengths and areas that may need improvement.

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Answer:

360/15= cost of each ticket

the cost of each ticket is $24

Step-by-step explanation:

Answer:

\( m\angle 6 = 107\degree \)

\( m\angle 7 = 73\degree\)

Step-by-step explanation:

\( m\angle 6 = m\angle 4 \)

(Exterior alternate angles)

\( \because m\angle 4 = 107\degree... (given) \)

\(\huge \therefore m\angle 6 = 107\degree \)

\( \because m\angle 6+ m\angle 7= 180\degree\)

(linear pair angles)

\( \therefore 107\degree+ m\angle 7= 180\degree\)

\( \therefore m\angle 7= 180\degree-107\degree\)

\( \huge \therefore m\angle 7 = 73\degree\)

The regular dodecagon is a polygon with 12 sides of equal length and 12 angles of equal measure.

        Area = 3 × side length × apothem,

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Answer: 50 students

Step-by-step explanation:

You know that the number of students last year plus 20% of that number equals the number of students this year, which can be written as: x + 0.2x = 60 →

1.2x = 60 → x = 50 students :)

Answer: 50 students

Step-by-step explanation:

x + .2x = 60

1.2x = 60

x = 60/1.2

x = 50

A simple linear regression model is appropriate when the response variable is influenced by only one explanatory variable.

A simple linear regression model assumes a linear relationship between the response variable (y) and a single explanatory variable (x).

It is suitable when we want to understand how changes in the explanatory variable affect the response variable.

In the given options, the situation where the response variable y is influenced by one explanatory variable aligns with the requirements of a simple linear regression model.

This means that the relationship between y and x can be adequately described by a straight line.

The model aims to estimate the slope and intercept of this line, allowing us to make predictions and draw conclusions about the impact of the explanatory variable on the response variable.

If the response variable y is influenced by two or more explanatory variables, a multiple linear regression model would be more appropriate.

Multiple linear regression allows for the analysis of the combined effects of multiple predictors on the response variable, accounting for their individual contributions.

Similarly, if the explanatory variable x is influenced by two or more response variables, a different modeling technique, such as multivariate regression, would be more suitable.

Therefore, the situation where the response variable y is influenced by one explanatory variable is the scenario where a simple linear regression model is appropriate.

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