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masha68 [24]
3 years ago
10

1.4 – ( ___ ) = 2 Pls hurry plz

Mathematics
2 answers:
Zigmanuir [339]3 years ago
8 0
The answer should be -0.6
Phantasy [73]3 years ago
7 0

Answer: The answer is –0.6, wait a second, did you duplicate your question?

Step-by-step explanation:

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Community Gym charges a $50 membership fee and a $60 monthly fee. Workout Gym charges a $180 membership fee and a $50 monthly fe
Vladimir79 [104]

Answer:

After 13 months the amount paid to both will be $830.

Step-by-step explanation:

60x13+50=830

50x13+180=830

4 0
2 years ago
80% of what number is 64
Thepotemich [5.8K]
Make an equation.

80% = 0.8

'of' is multiplication

'what number' is 'x'

'is' is an equal sign

0.8 * x = 64

0.8x = 64

Divide 0.8 to both sides:

x = 80
5 0
3 years ago
Which of these expressions is equal to 2(43 - p)?
nirvana33 [79]

Answer:

C. (2×43) - (2×p)

Step-by-step explanation:

The question is 2(43-p)

Which means 2 is multiplying the bracket.

So the answer to the question is 2×43 - 2×p

Which will give us 86 - 2p

So you then solve all the possible answers to see if it the same answer as the one we got

5 0
3 years ago
I definitely need help with this difficult math problem. -7x+y^3+7x^3+6x-3y^3-2x^3+3x
Mars2501 [29]
The answer is 2x-2y^3+5x^3
6 0
3 years ago
The number of tickets purchased by an individual for Beckham College's holiday music festival is a uniformly distributed random
Zanzabum

1) Mean: 6.5

2) Standard deviation: 3.2

Step-by-step explanation:

1)

A uniform random distribution is the distribution of a variable that can assume n different values, and each of these values is equally likely to occur.

This means that the probability of occurring of each of these values is the same:

p(x_1)=p(x_2)=...=p(x_n)

For a uniform random distribution, the mean of the distribution is simply equal to the median value of the distribution, which is exactly at the center of the distribution itself. It can be calculated as

\bar x = \frac{1}{2}(a+b)

where

a is the lowest value of the distribution

b is the highest value of the distribution

Here the distribution consists of all values ranging from 1 to 12, so:

a = 1

b = 12

Therefore the mean value is

\bar x=\frac{1}{2}(1+12)=6.5

2)

For a uniform random distribution, it can be dimostrated that the variance of the distribution is

\sigma^2 = \frac{1}{12}(b-a)^2

For the distribution in this problem, we have:

a = 1

b = 12

Therefore the variance is

\sigma^2 = \frac{1}{12}(12-1)^2=10.08

The standard deviation is the square root of the variance, therefore for this distribution it is:

\sqrt{\sigma^2}=\sqrt{10.08}=3.2

Learn more about mean and standard deviation:

brainly.com/question/6073431

brainly.com/question/8799684

brainly.com/question/4625002

#LearnwithBrainly

3 0
3 years ago
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