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ki77a [65]
3 years ago
12

The surface area of a square pyramid is 136 square inches. The base length is 4 inches. What is the slant height?

Mathematics
1 answer:
aivan3 [116]3 years ago
5 0
The surface area is 13630=1/2(4)(height)30=2(height)and from there we can solve. 30/2=15the height of the triangle is 15, which is also the slant heightto check our work, 1/2(4)(15)=304x15=601/2x60=30
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Solve the equation -9x+1=-x+17​
Step2247 [10]

Answer:

x=-2

Step-by-step explanation:

-9x+1=-x+17

Add 9x on both sides:

     1=8x+17

Subtract 17 on both sides:

   -16=8x

Divide both sides by 8:

     -2=x

Check x=-2!

-9x+1=-x+17     with x=-2

-9(-2)+1=-(-2)+17

18+1=2+17

19=19

19=19 is a true equation so x=-2 is correct.

5 0
3 years ago
Read 2 more answers
A corporate team building event costs $2 for every attendee. If there are 8 attendees how much will the corporate team building
lesantik [10]

Answer:

16$

Step-by-step explanation:

8 times 2 is 16

I hope this helps!!!

7 0
3 years ago
Please Fill in the Blank with the simplified equation. 5/8g=40
FinnZ [79.3K]

Multiply both sides by 8

5/8g × 8 = 40× 8

5g = 320

Divide both sides by 5

5g/5 = 320/5

G = 64

4 0
3 years ago
1/8 (8x-5)=1/6-7/6 what is the answer for X?
evablogger [386]
X=-\frac{3}{8} or -0.375
4 0
3 years ago
) One year, professional sports players salaries averaged $1.5 million with a standard deviation of $0.9 million. Suppose a samp
Nutka1998 [239]

Answer:

Probability that the average salary of the 400 players exceeded $1.1 million is 0.99999.

Step-by-step explanation:

We are given that one year, professional sports players salaries averaged $1.5 million with a standard deviation of $0.9 million.

Suppose a sample of 400 major league players was taken.

<em>Let </em>\bar X<em> = sample average salary</em>

The z-score probability distribution for sample mean is given by;

                 Z = \frac{ \bar X -\mu}{{\frac{\sigma}{\sqrt{n} } }} }  ~ N(0,1)

where, \mu = mean salary = $1.5 million

            \sigma = standard deviation = $0.9 million

             n = sample of players = 400

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the average salary of the 400 players exceeded $1.1 million is given by = P(\bar X > $1.1 million)

    P(\bar X > $1.1 million) = P( \frac{ \bar X -\mu}{{\frac{\sigma}{\sqrt{n} } }} } >  \frac{ 1.1-1.5}{{\frac{0.9}{\sqrt{400} } }} } ) = P(Z > -8.89) = P(Z < 8.89)

<em>Now, in the z table the maximum value of which probability area is given is for critical value of x = 4.40 as 0.99999. So, we can assume that the above probability also has an area of 0.99999 or nearly close to 1.</em>

Therefore, probability that the average salary of the 400 players exceeded $1.1 million is 0.99999.

4 0
3 years ago
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