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uranmaximum [27]
2 years ago
9

the histogram below represents the high temperatures recorded each day over a one month period. 7 days=80-82 degrees Celsius, 9

days=82-84 degrees Celsius, 6 days=84-86 degrees Celsius, 5 days=86-88 degrees Celsius, and 3 days=88-90 degrees Celsius. How many days had a temperature of below 86?
Mathematics
2 answers:
pantera1 [17]2 years ago
4 0
Assuming that the histogram is represented by the given numbers:

7 days = 80 to 82 degrees Celsius
9 days = 82 to 84 degrees Celsius
6 days = 84 to 86 degrees Celsius
5 days = 86 to 88 degrees Celsius
3 days = 88 to 90 degrees Celsius

The days with a temperature below 86 degrees Celsius are day 7, 9, and 6.  <span />
lana [24]2 years ago
4 0

Answer:

The number of days temperature is below 86 is:

  22 days

Step-by-step explanation:

We are given the following data:

7 days=80-82 degrees Celsius.

9 days=82-84 degrees Celsius.

6 days=84-86 degrees Celsius.

5 days=86-88 degrees Celsius.  

3 days=88-90 degrees Celsius.

The number of days temperature is below 86 is:

22 days   (7+9+6)

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Answer:

a) P(X

And we can find this probability using the normal standard table or excel and we got:

P(z

b) P(X>48)=P(\frac{X-\mu}{\sigma}>\frac{48-\mu}{\sigma})=P(Z>\frac{48-46.8}{1.75})=P(z>0.686)

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

P(z>0.686)=1- P(Z

c) P(46.8-1.5*1.75

And we can find this probability with this difference:

P(-1.5

And in order to find these probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(-1.5

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".  

Part a

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

X \sim N(46.8,1.75)  

Where \mu=46.8 and \sigma=1.75

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 using the normal standard table or excel and we got:

P(z

Part b

P(X>48)=P(\frac{X-\mu}{\sigma}>\frac{48-\mu}{\sigma})=P(Z>\frac{48-46.8}{1.75})=P(z>0.686)

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

P(z>0.686)=1- P(Z

Part c

P(46.8-1.5*1.75

And we can find this probability with this difference:

P(-1.5

And in order to find these probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(-1.5

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Step-by-step explanation:

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SSA: is not a congruence theorem

AAS:angle angle side

SSS:side side side

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Given: 1 cm = 2 3/4 ft ; kitchen length = 4 1/2 cm
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