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Mashutka [201]
2 years ago
11

PLS HELP Which function has a greater unit rate?

Mathematics
1 answer:
Ira Lisetskai [31]2 years ago
7 0
The Table is the greater unit rate!
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Use the distributive property to show an equivalent expression.
Rom4ik [11]

Answer:

4x + 36

Step-by-step explanation:

4(x+9)\\4x+36

4 0
3 years ago
Read 2 more answers
Kenny reads 5/9 page in 3/4 minute what is Kenny’s unit rate per minute?
Rashid [163]
This would be 5/9 / 3/4  = 5/9 * 4/3 =  20/27 pages per minute
3 0
4 years ago
Jane works as a tutor for $14 an hour and as a waitress for $11 an hour. This month, she worked a combined total of 93 hours at
daser333 [38]

Answer:

3t + 1,023

Step-by-step explanation:

The computation is shown below:

As a tutor it is $14 per hour

As a waitress it is $11 per hour

Total number of hours worked is 93

Now let us assume the number of hours worked as a tutor is t

So as a waiter is 93 - t

Now the equation is

= $14(t) + $11(93 - t)

= 14t + 1,023 - 11t

= 3t + 1,023

3 0
3 years ago
rounded to the nearst dime, what is the greatest amount of money that rounds to $ 105.40 ? what is the least amount of money tha
hram777 [196]

Numbers with 5 or more in the cents place will round up to the next dime. Those with 4 or fewer cents will round down.

most that rounds to $105.40 is $105.44

least that rounds to $105.40 is $105.35

7 0
3 years ago
The mean percent of childhood asthma prevalence in 43 cities is 2.32​%. A random sample of 32 of these cities is selected. What
lidiya [134]

Answer:

P(\bar X>2.8)

We can use the z score formula given by:

z=\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And replacing we got:

z=\frac{2.8 -2.32}{\frac{1.24}{\sqrt{32}}}=2.190

And using the normal standard distribution and the complement rule we got:

P(z>2.190 )= 1-P(z

Step-by-step explanation:

For this case w eknow the following parameters:

\mu = 2.32 represent the mean

\sigma =1.24 represent the deviation

n= 32 represent the sample sze selected

We want to find the following probability:

P(\bar X>2.8)

We can use the z score formula given by:

z=\frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}

And replacing we got:

z=\frac{2.8 -2.32}{\frac{1.24}{\sqrt{32}}}=2.190

And using the normal standard distribution and the complement rule we got:

P(z>2.190 )= 1-P(z

8 0
3 years ago
Read 2 more answers
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