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3 years ago

9

Rosas monthly salary is $162.50. Her company told her she will be getting a raise of 6.5% of her current salary. What is her mon

thly salary after the raise

1 answer:

marshall27 [118]3 years ago

7 0

Answer:

$173.06

Step-by-step explanation:

Think of "her new monthly salary" as the sum of "her monthly salary plus a 6.5% increase. Multiplying "her monthly salary" by 1.065 will produce a result that includes both the original monthly salary and the increase:

1.065($162.50) = $173.06

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Answer:

X = -2

Step-by-step explanation:

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8x + 6 - 2x = 34 x= ?

e-lub [12.9K]

8x + 6 - 2x = 34x

Simplify 8x +6 - 2x to 6x + 6:
6x + 6 = 34x

Subtract 6x from both sides:
6 = 34x- 6x

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6 = 28x

Divide both sides by 28:
$\frac{6}{28}$ = x

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2 years ago

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Answer:

The ordered pairs for 1 and 3 are:

(1,2) (3,8)

Now use the slope formula:

(y2-y1)/(x2-x1)

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Step-by-step explanation:

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2 years ago

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Which scenario can the following graph describe? A)the total time a kite is up in the air as it goes up for a little bit ,comes

Vadim26 [7]

Answer:

Option C is the correct answer.

Step-by-step explanation:

We are given,

<em>A graph where the function first increases and then decreases to touch the x-axis and the increases.</em>

It is required to find the corresponding situations.

So, from the options we have that,

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2 years ago

Consider the following hypothesis test. : : The following results are for two independent samples taken from two populations. Ex

I am Lyosha [343]

Answer:

$z = -1.53$ --- test statistic

$p = 0.1260$ --- p value

Conclusion: Fail to reject the null hypothesis.

Step-by-step explanation:

Given

$n_1 = 80$ $\bar x_1= 104$ $\sigma_1 = 8.4$

$n_2 = 70$ $\bar x_2 = 106$ $\sigma_2 = 7.6$

$H_o: \mu_1 - \mu_2 = 0$ --- Null hypothesis

$H_a: \mu_1 - \mu_2 \ne 0$ ---- Alternate hypothesis

$\alpha = 0.05$

Solving (a): The test statistic

This is calculated as:

$z = \frac{\bar x_1 - \bar x_2}{\sqrt{\frac{\sigma_1^2}{n_1} + \frac{\sigma_2^2}{n_2} }}$

So, we have:

$z = \frac{104 - 106}{\sqrt{\frac{8.4^2}{80} + \frac{7.6^2}{70} }}$

$z = \frac{104 - 106}{\sqrt{\frac{70.56}{80} + \frac{57.76}{70}}}$

$z = \frac{-2}{\sqrt{0.8820 + 0.8251}}$

$z = \frac{-2}{\sqrt{1.7071}}$

$z = \frac{-2}{1.3066}$

$z = -1.53$

Solving (b): The p value

This is calculated as:

$p = 2 * P(Z < z)$

So, we have:

$p = 2 * P(Z < -1.53)$

Look up the z probability in the z score table. So, the expression becomes

$p = 2 * 0.0630$

$p = 0.1260$

Solving (c): With $\alpha = 0.05$ , what is the conclusion based on the p value

We have:

$\alpha = 0.05$

In (b), we have:

$p = 0.1260$

By comparison:

$p > \alpha$

i.e.

$0.1260 > 0.05$

So, we fail to reject the null hypothesis.

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2 years ago