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1 year ago

Help me pleas. You might have to zoom in on the picture to see better.

Mathematics

1 answer:

Ivanshal [37]1 year ago

8 0

Answer:

1/2, -1/8, 1/32

Step-by-step explanation:

$- 2( - \frac{1}{4} ) = \frac{1}{2}$

$\frac{1}{2} ( - \frac{1}{4} ) = - \frac{1}{8}$

$- \frac{1}{8} ( - \frac{1}{4}) = \frac{1}{32}$

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A square's area is 3 times its perimeter. Find the dimensions of the square.

snow_tiger [21]

Answer:

length = 6

width = 6

height = 6

Step-by-step explanation:

Area of the square = 6 * 6

Area of the square = 36

The perimeter = 6 + 6

The perimeter = 12

so 36 is 3 times bigger than 12

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2 years ago

What percent of 11 is 44%

Inga [223]

Answer:

Step-by-step explanation:

cause math

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2 years ago

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5x is equal to 8X raise to power - 1/3

goldenfox [79]

Answer:

No solutions.

Step-by-step explanation:

5x = 8x^-1/3

Divide 8 into both sides.

5/8x = x^-1/3

Divide both sides by x.

5/8 = x^-4/3

Multiply both sides by the exponent -3/4.

5/8^-3/4 = x

1.422624 = x

Plug in 1.422624 for x to check.

It does not work. There are no real solutions.

7 0

2 years ago

(Picture Included) could someone give me the answers to #6?

Aliun [14]

1/6 I think i might be wrong

7 0

2 years ago

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A manufacturer of paper coffee cups would like to estimate the proportion of cups that are defective (tears, broken seems, etc.)

Maksim231197 [3]

Answer:

The 95% confidence interval is $0.0503 < p < 0.1297$

The sample proportion is $\r p = 0.09$

The critical value is $Z_{\frac{\alpha }{2} } = 1.96$

The standard error is $SE =0.020$

Step-by-step explanation:

From the question we are told that

The sample size is n = 200

The number of defective is k = 18

The null hypothesis is $H_o : p = 0.08$

The alternative hypothesis is $H_a : p > 0.08$

Generally the sample proportion is mathematically evaluated as

$\r p = \frac{18}{200}$

$\r p = 0.09$

Given that the confidence level is 95% then the level of significance is mathematically evaluated as

$\alpha = 100 - 95$

$\alpha = 5\%$

$\alpha = 0.05$

Next we obtain the critical value of $\frac{ \alpha }{2}$ from the normal distribution table, the value is

$Z_{\frac{\alpha }{2} } = 1.96$

Generally the standard of error is mathematically represented as

$SE = \sqrt{\frac{\r p (1 - \r p)}{n} }$

substituting values

$SE = \sqrt{\frac{0.09 (1 - 0.09)}{200} }$

$SE =0.020$

The margin of error is

$E = Z_{\frac{ \alpha }{2} } * SE$

=> $E = 1.96 * 0.020$

=> $E = 0.0397$

The 95% confidence interval is mathematically represented as

$\r p - E < \mu < p < \r p + E$

=> $0.09 - 0.0397 < \mu < p < 0.09 + 0.0397$

=> $0.0503 < p < 0.1297$

7 0

2 years ago