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zaharov [31]
3 years ago
15

Please give me the answer and show me how you solved it

Mathematics
2 answers:
miss Akunina [59]3 years ago
8 0
Speed = distance over time

so 2.75 / .5 =

5.5 mph
Kay [80]3 years ago
6 0

Answer:

I think it is option 1

Step-by-step explanation:

11/4 x 1/2

\frac{11 *1}{4 * 2} = \frac{11}{8}

which would equal: 1\frac{3}{8}

I might be wrong.

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69 points!!!!!!!!!!!! ANYONE who can answer this please
Sloan [31]
I would either graph these (which would be a easiest) then you would see a line that goes through (0, -2) on the y-axis
And you can either determine the slope from the graph or pick two points above and find the slope.




or spread them out evenly and fill out the missing pieces.

-8. -4



-4. -3



0



4. -1

6. -0.5

8



12. 1


Fill in the middle values and you can put (6,-0.5) on there

What pattern do u see? This way would be pretty hard.


Equation: y=(1/4)x-2
8 0
4 years ago
Read 2 more answers
Evaluate the expression when a = 3, b = 2, and c= -3: (a³ + 2bc)/( c² -5)
natta225 [31]
((3*3*3)+2(-6))/((-3*-3)-5)
(27-12)/9-5
15/4
4 0
3 years ago
Malcolm bought 6 bowls for $13.20. What is the unit rate
atroni [7]
2.20 is your answer
lol yay


5 0
3 years ago
Todd Holland from NY grows pumpkins. He studied his past records carefully and concluded that his biggest pumpkins are distribut
ehidna [41]

Answer:

P(X>1000)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X>1000)=P(\frac{X-\mu}{\sigma}>\frac{1000-\mu}{\sigma})=P(Z>\frac{1000-950}{50})=P(z>1)

And we can find this probability using the complement rule and the normal standard table and we got:

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

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution problem

Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:

X \sim N(950,50)  

Where \mu=950 and \sigma=50

We are interested on this probability

P(X>1000)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X>1000)=P(\frac{X-\mu}{\sigma}>\frac{1000-\mu}{\sigma})=P(Z>\frac{1000-950}{50})=P(z>1)

And we can find this probability using the complement rule and the normal standard table and we got:

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

5 0
3 years ago
I need this answered asap!!!
oksano4ka [1.4K]
185 kilometers I hope the answer is right
8 0
3 years ago
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