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mash [69]
3 years ago
15

Help ..................

Mathematics
1 answer:
Alexus [3.1K]3 years ago
7 0

Pythagorean Theorm Unit? I got you!

It would be C, about 63.07

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Expand the expression (5x + 3)2, and write the result in standard form.
Nikolay [14]

Expand

2 × 5x + 2 × 3

Simplify 2 × 5x to 10x

10x + 2 × 3

Simplify 2 × 3 to 6

<u>= 10x + 6</u>

3 0
3 years ago
What is (8 - 3p)( -2 ) using distributive property
Llana [10]
When you use the Distributive Property you're really just multiplying the number on the outside by all of the numbers on the inside of the parentheses.

(8 - 3p) (-2)   Multiply -2 by 8 and -3p
-2(8) + (-2)(-3p)   Multiply
-16 + 6p
3 0
3 years ago
How do I solve this problem?
romanna [79]

Answer:

It will be 3 4/8 or 3 1/2

<u><em>PLS MARK BRAINLIEST</em></u>

3 0
3 years ago
Read 2 more answers
. (0.5 point) We simulate the operations of a call center that opens from 8am to 6pm for 20 days. The daily average call waiting
SashulF [63]

Answer:

The 95% t-confidence interval for the difference in mean is approximately (-2.61, 1.16), therefore, there is not enough statistical evidence to show that there is a change in waiting time, therefore;

The change in the call waiting time is not statistically significant

Step-by-step explanation:

The given call waiting times are;

24.16, 20.17, 14.60, 19.79, 20.02, 14.60, 21.84, 21.45, 16.23, 19.60, 17.64, 16.53, 17.93, 22.81, 18.05, 16.36, 15.16, 19.24, 18.84, 20.77

19.81, 18.39, 24.34, 22.63, 20.20, 23.35, 16.21, 21.73, 17.18, 18.98, 19.35, 18.41, 20.57, 13.00, 17.25, 21.32, 23.29, 22.09, 12.88, 19.27

From the data we have;

The mean waiting time before the downsize, \overline x_1 = 18.7895

The mean waiting time before the downsize, s₁ = 2.705152

The sample size for the before the downsize, n₁ = 20

The mean waiting time after the downsize, \overline x_2 = 19.5125

The mean waiting time after the downsize, s₂ = 3.155945

The sample size for the after the downsize, n₂ = 20

The degrees of freedom, df = n₁ + n₂ - 2 = 20 + 20  - 2 = 38

df = 38

At 95% significance level, using a graphing calculator, we have; t_{\alpha /2} = ±2.026192

The t-confidence interval is given as follows;

\left (\bar{x}_{1}- \bar{x}_{2}  \right )\pm t_{\alpha /2}\sqrt{\dfrac{s_{1}^{2}}{n_{1}}+\dfrac{s_{2}^{2}}{n_{2}}}

Therefore;

\left (18.7895- 19.5152 \right )\pm 2.026192 \times \sqrt{\dfrac{2.705152^{2}}{20}+\dfrac{3.155945^2}{20}}

(18.7895 - 19.5125) - 2.026192*(2.705152²/20 + 3.155945²/20)^(0.5)

The 95% CI = -2.6063 < μ₂ - μ₁ < 1.16025996668

By approximation, we have;

The 95% CI = -2.61 < μ₂ - μ₁ < 1.16

Given that the 95% confidence interval ranges from a positive to a negative value, we are 95% sure that the confidence interval includes '0', therefore, there is sufficient evidence that there is no difference between the two means, and the change in call waiting time is not statistically significant.

6 0
3 years ago
You deposit $500 in an account that pays 8% annual interest compounded yearly. What is the account balance after six years? Form
Diano4ka-milaya [45]
Principal, P = $500
r =8% = 0.08, the interest rate
n = 1, the compounding interval
t = 6 years

The value after 6 years is
A = P(1 +  \frac{r}{n} )^{nt}
That is,
A = $500*(1 + 0.08)⁶ = $793.44

Answer: $793.44

7 0
3 years ago
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