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Alecsey [184]
3 years ago
9

Evaluate 9 times p when p= 3.5

Mathematics
1 answer:
zysi [14]3 years ago
7 0

Answer: 31.5

Step-by-step explanation:

9*3.5=31.5

Hopefully this is what they meant

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Please please please help meee
uysha [10]
The answer is 2 root 51
8 0
3 years ago
Read 2 more answers
How to graph 3 points <br> f (x) = -2x + 5
Kisachek [45]
The first one is 0,5 the second one is 1,3 last one is 2,1 
5 0
3 years ago
Jack designed a bridge that will be 0.2 miles long, and 3/5 of the bridge has been built. How long is the section of the bridge
prohojiy [21]

Answer:

0.12

because 3/5 of 0.2 is 0.12

u probably shouldn’t trust me im dum

Step-by-step explanation:

8 0
3 years ago
If the distribution is really N ( 5.43 , 0.54 ) , N(5.43,0.54), what proportion of observations would be less than 5.05 ? 5.05?
Ipatiy [6.2K]

Answer:

P(X

And we can use the following excel code to find the answer: "=NORM.DIST(-0.704,0,1,TRUE)"

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 to the problem

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

X \sim N(5.43,0.54)  

Where \mu=5.43 and \sigma=0.54

We are interested on this probability

P(X

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

And we can find this probability on this way:

P(Z

And we can use the following excel code to find the answer: "=NORM.DIST(-0.704,0,1,TRUE)"

6 0
3 years ago
How would you write a decimal that is less than five Ten thousandths
asambeis [7]

Five ten-thousandths looks like this:  0.0005

All of these are less:

0.0004
0.0003
0.0002
0.0001
0.00001
0.000001
.
.
etc.

3 0
3 years ago
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