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Masja [62]
3 years ago
9

Which of the following expressions is not equivalent to 1?

Mathematics
1 answer:
abruzzese [7]3 years ago
4 0

Step-by-step explanation:

please put up the options:(

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A cookbook cost 3 times as a storybook.A cookbook and 4 storybook cost $112.How much did a storybook cost?
Reptile [31]
1c+4s=112
1c=3s
3s+4s=112
7s=112
Storybook= $16
3 0
3 years ago
Read 2 more answers
WILL GIVE BRAINLIEST
Papessa [141]
<span>the particle's initial position is at t=0, x = 0 - 0 + 4 = 4m

velocity is rate of change of displacement = dx/dt = d(t^3 - 9t^2 +4)/dt
= 3t^2 - 18t

acceleration is rate of change of velocity = d(3t^2 -18t)/dt
= 6t - 18

</span><span>the particle is stationary when velocity = 0, so 3t^2 - 18t =0
</span>3t*(t - 6) = 0
t = 0 or t = 6s

acceleration = 6t - 18 = 0
t = 3s
at t = 3s, velocity = 3(3^2) -18*3 = -27m/s
displacement = 3^3 - 9*3^2 +4 = -50m


6 0
3 years ago
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Pranav ate pizza for dinner on Monday night and had 2/3 of the pizza left over. On Tuesday night, he ate 1/2 of what was left. H
ale4655 [162]

Answer: 1/3

Step-by-step explanation:

From the question, we are informed that Pranav ate pizza for dinner on Monday night and had 2/3 of the pizza left over. We are further told that on Tuesday night, he ate 1/2 of what was left.

The amount of pizza that Pranav ate on Tuesday will be:

= 1/2 × 2/3

= 1/3

She ate 1/3 on Tuesday

6 0
3 years ago
Algebra question don't understand it
Stella [2.4K]

Answer: B false

Step-by-step explanation:

7 0
3 years ago
Converting observations from original values to standard deviation units is known as
Tju [1.3M]
Converting observations from original values to standard deviation units is known as standardizing the data values. This is done in order to get values in such a form where we can compare them. For example, if we have the test scores of two different school and we want to compare the result of the students we have to first convert them into standard deviation units.

Converting the values to standard deviation units is also known as converting the values to z scores.

The formula for the z score is:

[tex]z= \frac{x-u}{s} [/tex]

where x is the data value, which is to be standardized.
u is the average of the entire data.
s is the standard deviation of the data.
5 0
3 years ago
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