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Montano1993 [528]

3 years ago

8

as a medical technician, Stephanie has been offered a job that pays $53 000.00 per year and another job that pays $25.50 per hou

r. assuming a 40 hour work week and all other conditions being the same, at which job will she earn more?

1 answer:

ohaa [14]3 years ago

7 0

Answer:

25.50x40= 1020/ week

times 52 weeks- $53040

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Please Help!!!!!!!!!!!!!!!

melisa1 [442]

Answer:X=4

Step-by-step explanation:

Congruent triangles method

AB/DB=BC/EC

10-x+x/10-x=3+2/3

10/10-x=5/3

30=50-5x

30-50=-5x

-20=-5x

X=4

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3 years ago

In a pie chart if a value of 200 represents 80°, then 20° represents a value of

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Answer:

12

Step-by-step explanation:

12

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3 years ago

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What inequality describes the solutions of 2y less than or equal to 8?

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Answer:

$y\leq 4$

Step-by-step explanation:

Start with the given

$2y\leq 8\\$

Divide the two on both sides to get

$y\leq 4$

8 0

3 years ago

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There is a 70% chance of rain tomorrow and a 20% chance that the volleyball game will be postponed. What is the probability that

lions [1.4K]

0.20/0.70 = 0.2857

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7 0

3 years ago

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A resident of Bayport claims to the City Council that the proportion of Westside residents

Kazeer [188]

Answer:

The test statistics is $z = -1.56$

The p-value is $p-value = 0.05938$

Step-by-step explanation:

From the question we are told

The West side sample size is $n_1 = 578$

The number of residents on the West side with income below poverty level is $k = 76$

The East side sample size $n_2=688$

The number of residents on the East side with income below poverty level is $u = 112$

The null hypothesis is $H_o : p_1 = p_2$

The alternative hypothesis is $H_a : p_1 < p_2$

Generally the sample proportion of West side is

$\^{p} _1 = \frac{k}{n_1}$

=> $\^{p} _1 = \frac{76}{578}$

=> $\^{p} _1 = 0.1315$

Generally the sample proportion of West side is

$\^{p} _2 = \frac{u}{n_2}$

=> $\^{p} _2 = \frac{112}{688}$

=> $\^{p} _2 = 0.1628$

Generally the pooled sample proportion is mathematically represented as

$p = \frac{k + u}{ n_1 + n_2 }$

=> $p = \frac{76 + 112}{ 578 + 688 }$

=> $p =0.1485$

Generally the test statistics is mathematically represented as

$z = \frac{\^ {p}_1 - \^{p}_2}{\sqrt{p(1- p) [\frac{1}{n_1 } + \frac{1}{n_2} ]} }$

=> $z = \frac{ 0.1315 - 0.1628 }{\sqrt{0.1485(1-0.1485) [\frac{1}{578} + \frac{1}{688} ]} }$

=> $z = -1.56$

Generally the p-value is mathematically represented as

$p-value = P(z < -1.56 )$

From z-table

$P(z < -1.56 ) = 0.05938$

So

$p-value = 0.05938$

3 0

4 years ago