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PilotLPTM [1.2K]
3 years ago
9

Which statement represents the relationship between y=4^x and y=log4x?

Mathematics
2 answers:
Deffense [45]3 years ago
6 0
It's going to be # 2
ikadub [295]3 years ago
3 0
#2 and #3 i think. hope this helped!
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Please help me Im almost done​
SSSSS [86.1K]

Answer:

\mathsf {x = 76}

Step-by-step explanation:

The given pair of angles lie on a line, hence they are classified as linear angles. They possess the property by which their sum is equal to 180°.

\textsf {Solving :}

\implies \mathsf {x + 17 + 87 = 180}

\implies \mathsf {x + 104 = 180}

\implies \mathsf {x = 180 - 104}

\implies \mathsf {x = 76}

8 0
2 years ago
A snail travels at a rate of 2.35 ft per minute. How far will the snail travel in 5 minutes
JulsSmile [24]
I believe that you would just multiply 2.35*5 and that would be your answer.
=11.75
4 0
3 years ago
Read 2 more answers
PLS HELP 55 POINTS PLSS NO LINKS PLS HELPP
Semenov [28]

Answer:

12. 114 Laps

13. 234 students don't ride the bus.

14. 1.5% of 26,500.60 is 397.50 so the answer is $26,500.60

15. 24% × 63.4 = 15.2 so the original weight of the bag is 63.4 pounds

Step-by-step explanation:

4 0
2 years ago
#2 Find the value of x. Round to the nearest degree.
Sergio [31]

Answer:

49°

Step-by-step explanation:

arccos x = 15/23

4 0
3 years ago
The researcher is interested to know if policy A (new) is more effective than policy B (old). Frame the hypothesis and describe
vesna_86 [32]

<u>Answer:</u>

<u>Null hypothesis: Policy B remains more effective than policy A.</u>

<u>Alternate hypothesis: Policy A is more effective than policy B.</u>

<u>Step-by-step explanation:</u>

Remember, a hypothesis is a  usually tentative (temporary until tested) assumption about two variables– independent and the dependent variable.

We have two types of hypothesis errors:

1. A type I error occurs when the null hypothesis (H0) is wrongly rejected.

That is, rejecting the assumption that policy B remains more effective than policy A when it is <em>actually true.</em>

2. A type II error occurs when the null hypothesis H0, is not rejected when it is actually false. That is, accepting the assumption that policy B remains more effective than policy A when it is <em>actually false.</em>

3 0
3 years ago
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