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Lostsunrise [7]
3 years ago
14

The equation, y = 1250x + 22,850, gives the salary of a person as "y" after the stated number of years (x). Model the data with

a linear function using the points (1, 24,100) and (3, 36,600) Then use this function to predict the salary in 5 years.
Mathematics
1 answer:
Sidana [21]3 years ago
8 0

Answer:

(a) y = 6250x +17850 --- The function

(b) y = 49100 --- The salary in 5 years

Step-by-step explanation:

Given

y = 1250x + 22850

Solving (a): Model the function around (1,24100) and (3,36600)

First, we calculate the slope

m = \frac{y_2 - y_1}{x_2 - x_1}

m = \frac{36600 - 24100}{3 - 1}

m = \frac{12500}{2}

m = 6250

The function is then calculated as:

y = m(x - x_1) + y_1

y = 6250(x - 1) + 24100

y = 6250x - 6250 + 24100

y = 6250x +17850

Solving (b): Salary in 5 years

Here:

x = 5

So:

y = 6250x +17850

y = 6250*5 +17850

y = 49100

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Express sin UU as a fraction in simplest terms.
alukav5142 [94]

The expression of sinU as a fraction is 12/13

Find the diagram attached.

To get the fraction represented by sinU, we will use the SOH CA TOA identity.

From the diagram;

  • Hypotenuse = SU = 13
  • Opposite = ST = 12 (angle opposite to m<U)

Since sin theta = opp/hyp

SinU = ST/SU

SinU = 12/13

Hence the expression of sinU as a fraction is 12/13

Learn  more on SOH CAH TOA here: brainly.com/question/20734777

5 0
2 years ago
Rockwell hardness of pins of a certain type is known to have a mean value of 50 and a standard deviation of 1.2.a. If the distri
zalisa [80]

Answer:

a

 P(\= X \ge 51 ) =0.0062

b

P(\= X \ge 51 ) = 0

Step-by-step explanation:

From the question we are told that

The mean value is \mu = 50

The standard deviation is  \sigma = 1.2

Considering question a

The sample size is  n = 9

Generally the standard error of the mean is mathematically represented as

      \sigma_x = \frac{\sigma }{\sqrt{n} }

=>   \sigma_x = \frac{ 1.2 }{\sqrt{9} }

=>  \sigma_x = 0.4

Generally the probability that the sample mean hardness for a random sample of 9 pins is at least 51 is mathematically represented as

      P(\= X \ge 51 ) = P( \frac{\= X - \mu }{\sigma_{x}}  \ge \frac{51 - 50 }{0.4 } )

\frac{\= X -\mu}{\sigma }  =  Z (The  \ standardized \  value\  of  \ \= X )

     P(\= X \ge 51 ) = P( Z  \ge 2.5 )

=>   P(\= X \ge 51 ) =1-  P( Z  < 2.5 )

From the z table  the area under the normal curve to the left corresponding to  2.5  is

    P( Z  < 2.5 ) = 0.99379

=> P(\= X \ge 51 ) =1-0.99379

=> P(\= X \ge 51 ) =0.0062

Considering question b

The sample size is  n = 40

   Generally the standard error of the mean is mathematically represented as

      \sigma_x = \frac{\sigma }{\sqrt{n} }

=>   \sigma_x = \frac{ 1.2 }{\sqrt{40} }

=>  \sigma_x = 0.1897

Generally the (approximate) probability that the sample mean hardness for a random sample of 40 pins is at least 51 is mathematically represented as  

       P(\= X \ge 51 ) = P( \frac{\= X - \mu }{\sigma_x}  \ge \frac{51 - 50 }{0.1897 } )

=> P(\= X \ge 51 ) = P(Z  \ge 5.2715  )

=>  P(\= X \ge 51 ) = 1- P(Z < 5.2715  )

From the z table  the area under the normal curve to the left corresponding to  5.2715 and

=>  P(Z < 5.2715  ) = 1

So

   P(\= X \ge 51 ) = 1- 1

=> P(\= X \ge 51 ) = 0

5 0
2 years ago
And example of commutative property of multiplication
FromTheMoon [43]

Answer:

4 × 3 = 3 × 4 4 \times 3 = 3 \times 4 4×3=3×44, times, 3, equals, 3, times, 4.

8 0
2 years ago
Read 2 more answers
LI<br> EA<br> 5<br> S<br> 3. What is 4/5x 25?<br> a. 5<br> b. 10<br> C. 15<br> d. 20
Art [367]

Answer: D. 20

Step-by-step explanation:

(4/5)(25/1)

= 100/5

=20

7 0
3 years ago
SOLVE ANY BUT PUT THE NUMBER WITH IT
zubka84 [21]
1.
k = 1
J = 7(1) + 5
J = 12

k = 1 + 2 = 3
J = 7(3) + 5
J = 26

26 - 12 = 14
J increases by 14.


2. 
1/6 = 0.16 false (1/6 = 1.67)
0.08 = 4/5 false (0.08 = 8/100 = 2/25)
0.25 = 1/4 true (0.25 = 25/100 = 1/4)
<span>1/3 = 0.3 true (if rounded)</span>
<span>

3.
12 candles in 3 hours
12 </span>÷ 3 = 4
4 candles in 1 hour
4 × 8 = 32
32 candles in 8 hours


4.
$3.45 for 64 ounces
3.45 ÷ 64 = 0.05
$0.05 or 5 cents per ounce


5.
75 is what percent of 250?
75 ÷ 250 = 0.3
0.3 × 100 = 30
30%
8 0
3 years ago
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