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Vedmedyk [2.9K]
2 years ago
14

Solve log2x = log53 + 1 by graphing. Round to the nearest tenth. What does X equal?

Mathematics
2 answers:
Neko [114]2 years ago
6 0

Answer:

3.2 plz help me to

Step-by-step explanation:

Sauron [17]2 years ago
5 0

Answer:

3.2

Step-by-step explanation:

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Ill mark brainlist plss help
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plz mark me brainliest

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2 years ago
In a class of 27 students, 14 play an instrument and 16 play a sport. There are 6
antiseptic1488 [7]

Answer: 1/3

Step-by-step explanation:

6 + 16 + 14 - 27 = 1/3

6 0
1 year ago
Which equation is not equivalent to the formula d = rt? A. r= t over d B. r= d over t C. t=d over r D. d=tr
taurus [48]
D = rt

d/r = t
d/t = r
d = tr

incorrect one is : r = t/d
4 0
3 years ago
Read 2 more answers
Marcy played the piano for 45 minutes. She stopped playing at 4:15 p.m. At what time did she start playing the piano ?
ololo11 [35]
Well, first off 1 hr =60 minutes. 60 min - 45 min = 15 minutes extra. what is one hour before 4:15? 3:15! Add the subtracted 15 minutes to get 3:30... Hope this helps
4 0
3 years ago
When n is small (less than 30), how does the shape of the t distribution compare to the normal distribution?
Anna [14]

When n is small (less than 30), how does the shape of the t distribution compare to the normal distribution then"it is flatter and wider than the normal distribution."

<h3>What is normal distribution?</h3>

The normal distribution explains a symmetrical plot of data around the mean value, with the standard deviation defining the width of the curve. It is represented graphically as "bell curve."

Some key features regarding the normal distribution are-

  • The normal distribution is officially known as the Gaussian distribution, but the term "normal" was coined after scientific publications in the nineteenth century demonstrated that many natural events emerged to "deviate normally" from the mean.
  • The naturalist Sir Francis Galton popularized the concept of "normal variability" as the "normal curve" in his 1889 work, Natural Inheritance.
  • Even though the normal distribution is a crucial statistical concept, the applications in finance are limited because financial phenomena, such as expected stock-market returns, do not fit neatly within a normal distribution.
  • In fact, prices generally follow a right-skewed log-normal distribution with fatter tails.

As a result, relying as well heavily on the a bell curve when forecasting these events can yield unreliable results.

To know more about the normal distribution, here

brainly.com/question/23418254

#SPJ4

6 0
1 year ago
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