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seraphim [82]
4 years ago
14

The perimeter of a rectangle id 192 ft. The ratio of its length to its width is 7:5. What are the dimensions of the rectangle?

Mathematics
1 answer:
kotykmax [81]4 years ago
7 0
<h3>Answer:</h3>

56 ft by 40 ft

<h3>Explanation:</h3>

If we let x represent the multiplier for the ratio, then the perimeter is ...

... 2 × (7x +5x) = 24x = 192 ft.

Dividing by 24 gives

... x = 8 ft.

The dimensions are 7 and 5 times this multiplier, or ...

... 7×8 ft = 56 ft . . . . by . . . .  5×8 ft = 40 ft

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3 years ago
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Line L passes through the points (1, 1) and (7, 8). What is the slope of a line that is perpendicular to line L?
asambeis [7]

When a line passes through the two points (x_{1},y_{1}) and (x_{2},y_{2}) , its slope is given by the formula m= \frac{y_{2}-y_{1}}{x_{2}-x_{1}}

In this question, a line L passes through the points (1,1) and (7,8)

So, its slope is given by m=\frac{8-1}{7-1}

m=\frac{7}{6}

When two lines are perpendicular, then the product of their slopes is -1.

Since, the slope of the line L is \frac{7}{6} , so the slope of the line which is perpendicular to the given line L is \frac{-6}{7} as the product of \frac{-6}{7} \times \frac{7}{6}=-1.

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8 0
3 years ago
When we test Upper H 0​: muequals0 against Upper H Subscript a​: mugreater than​0, we get a​ P-value of 0.03. a. What would the
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Answer:

(a) The null hypothesis will be rejected.

(b) Type I error

(c) The null hypothesis will not be rejected. The error is type II error.

Step-by-step explanation:

The hypothesis provided is:

H_{0}: \mu = 0\\ H_{a} : \mu > 0

The p-value of the test obtained is 0.03

(a)

Decision rule for hypothesis testing, based on p-value, states that if the p-value is less than the significance level (α) then the null hypothesis is rejected and vice versa.

The significance level is α = 0.10

Then,

p-value = 0.03 < \alpha  = 0.10

Thus, the null hypothesis will be rejected.

Conclusion:

The null hypothesis is rejected stating that the value of μ is more than 0.

(b)

If the decision in​ (a) is an​ error, i.e. the null hypothesis is rejected when in fact it is true, this type of error is known as type I error.

(c)

The significance level is α = 0.01

Then,

p-value = 0.03 > \alpha  = 0.01

Thus, the null hypothesis will not be rejected.

Conclusion:

The null hypothesis was not rejected stating that the value of μ is 0.

If this decision is an error, i.e. the null hypothesis was not rejected when in fact it is false, this type of error is known as type II error.

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