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rodikova [14]
4 years ago
5

Can someone pls help me

Mathematics
1 answer:
masya89 [10]4 years ago
3 0

Answer:

141 1/4

Step-by-step explanation:

You are looking for TOTAL change, thus, both values will be positive. In order to add both fractions, you need to convert the denominator for 90 1/2 into a 4. This becomes 90 2/4.

Now add both mixed fractions.

3/4 + 2/4 = 1 1/4

90 + 50 = 140

140 + 1 1/4 = 141 1/4

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5^x + 5^x+1= 150<br> Find x<br> Help me pls i need soon<br> Tksss
raketka [301]

Answer:

x=2

Step-by-step explanation:

So we have the equation:

5^x+5^{x+1}=150

First, separate the second term:

5^x+(5\cdot5^x)=150

Let u equal 5ˣ. So:

u+5u=150

Combine like terms:

6u=150

Divide both sides by 6:

u=25

Substitute back u:

5^x=25

Take the base 5 logarithm of both sides:

\log_5(5^x)=\log_5(25)

The left cancels:

x=\log_5(25)

Evaluate the right:

x=2

So, our answer is 2.

And we're done!

5 0
3 years ago
Convert the percent to a decimal, and then divide. 7% ÷ 4
Inessa05 [86]
7% = 0.07
0.07/4 = 0.0175

The answer is 0.0175
3 0
3 years ago
Read 2 more answers
The screening process for detecting a rare disease is not perfect. Researchers have developed a blood test that is considered fa
lesya692 [45]

Answer:

Type I: 1.9%, Type II: 1.6%

Step-by-step explanation:

given null hypothesis

H0=the individual has not taken steroids.

type 1 error-falsely rejecting the null hypothesis

⇒   actually the null hypothesis is true⇒the individual has not taken steroids.

 but we rejected it ⇒our prediction is the individual has taken steroids.

typr II error- not rejecting null hypothesis when it has to be rejected

⇒actually null hypothesis is false ⇒the individual has taken steroids.

but we didnt reject⇒the individual has not taken steroids.

let us denote

the individual has taken steroids by 1

the individual has not  taken steroids.by 0

                            predicted

                              1       0

   actual          1    98.4%  1.6%

                        0   1.9%   98.1%

so for type 1 error  

 actual-0

predicted-1

therefore from above table we can see that probability of Type I error is 1.9%=0.019

so for type II error

   actual-1

predicted-0

therefore from above table we can see that probability of Type I error is 1.6%=0.016

5 0
3 years ago
Bell ringer
Kazeer [188]

Answer:

D.) 0.25

Step-by-step explanation:

Because it is not a whole number and decimals don't count as integers

5 0
3 years ago
What is the equation?
professor190 [17]
Y= is the answer 3/2x -2
8 0
3 years ago
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