MATHEMATICS COLLEGE

69 +69 -69 / 69 * 69

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Answer 1

Answer:

Answer:

Step-by-step explanation:

Answer 2

Answer:

Answer:

Step-by-step explanation:

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There are 1,760 yards in a mile. How many full laps would Danny have to run around the block to run a mile?

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Answer:

how many yards is the track

Suppose that det(a) = a b c d e f g h i = 2 and find the determinant of the given matrix. a b c −4d −4e −4f a + g b + h c + i

Answers

I'll go out on a limb and suppose you're given the matrix

$\mathbf A=\begin{bmatrix}a&b&c\nd&e&f\ng&h&i\end{bmatrix}$

and you're asked to find the determinant of $\mathbf B$ , where

$\mathbf B=\begin{bmatrix}a&b&c\n-4d&-4e&-4f\na+g&b+h&c+i\end{bmatrix}$

and given that $\det\mathbf A=2$ .

There are two properties of the determinant that come into play here:

(1) Whenever a single row/column is scaled by a constant $k$ , then the determinant of the matrix is scaled by that same constant;

(2) Adding/subtracting rows does not change the value of the determinant.

Taken together, we have that

$\det\mathbf B=-4\det\mathbf A=-8$

Final answer:

Due to insufficient information, we cannot calculate the determinant of the given matrix. The determinant calculation varies based on the matrix's size and the specifics of its elements.

Explanation:

The question asked was to find the determinant of a given matrix when the det(a) = 2. However, the information provided is insufficient to determine the actual matrix determinant due to numerical errors and unrelatable data. The determinant of a matrix is calculated differently depending on the type of matrix. For a 2x2 matrix, if the matrix is [a b; c d], the determinant would be 'ad - bc'. For a 3x3 matrix, the determinant process involves more steps including finding minors and cofactors of matrix elements. However, without the actual specifics of the matrix, the determinant cannot be calculated.

Learn more about Determinant of a matrix here:

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A publisher reports that 42%42% of their readers own a particular make of car. A marketing executive wants to test the claim that the percentage is actually different from the reported percentage. A random sample of 250250 found that 35%35% of the readers owned a particular make of car. Find the value of the test statistic. Round your answer to two decimal places.

Answers

Answer:

$z=\frac{0.35 -0.42}{\sqrt{(0.42(1-0.42))/(250)}}=-2.24$

Step-by-step explanation:

Data given and notation

n=250 represent the random sample taken

$\hat p=0.35$ estimated proportion of readers owned a particular make of car

$p_o=0.42$ is the value that we want to test

z would represent the statistic (variable of interest)

$p_v$ represent the p value (variable of interest)

Concepts and formulas to use

We need to conduct a hypothesis in order to test the claim that that the percentage is actually different from the reported percentage.:

Null hypothesis: $p=0.42$

Alternative hypothesis: $p \neq 0.42$

When we conduct a proportion test we need to use the z statistic, and the is given by:

$z=\frac{\hat p -p_o}{\sqrt{(p_o (1-p_o))/(n)}}$ (1)

The One-Sample Proportion Test is used to assess whether a population proportion $\hat p$ is significantly different from a hypothesized value $p_o$ .

Calculate the statistic

Since we have all the info requires we can replace in formula (1) like this:

$z=\frac{0.35 -0.42}{\sqrt{(0.42(1-0.42))/(250)}}=-2.24$

Calculate the pay for the following day of a weekly time card given a wage of $12/hr

Answers

Answer:

Step-by-step explanation:

At a pay of 12$ per hour at 8 hours a day you will make 94$ a day or 658$ a week.

Evaluate the expression if b = 5 and c = -4.
3c - 2b

Answers

Answer:

3(-4) - 2(5) = -12 - 10 = -22

The number of times a player has golfed in one's lifetime is compared to the number of strokes it takes the player to complete 18 holes. The correlation coefficient relating the two variables is -0.26. Which best describes the strength of the correlation and what is true about the causation between the variables?

Answers

Answer: It is a weak negative correlation and it is not likely causal.

Step-by-step explanation:

Given: The number of times a player has golfed in one's lifetime is compared to the number of strokes it takes the player to complete 18 holes. The correlation coefficient relating the two variables is -0.26.

Variables : "number of times a player has golfed in one's lifetime" and "number of strokes it takes the player to complete 18 holes".

Since -0.26 is more closer to 0 as compared to 1 , so it describes a weak negative correlation.

Also, it is not likely causal as number of times a player has golfed in one's lifetime not cause number of strokes it takes the player to complete 18 holes.

Answer: B) It is a weak negative correlation, and it is likely casual

Correct on edge 2020!

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Bryce wrote the linear regression equation y=1.123x-6.443 to predict the armspan, y, of a person who is x inches tall. Riley has an armspan of 67.5 inches. Which is the best prediction of Riley’s height? A. 54.36 inches B. 65.84 inches C. 66.55 inches D. 69.36 inches

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In the expression 4X +2, what do we call the 2