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Annette [7]
3 years ago
14

How do you convert Celsius to Fahrenheit?

Mathematics
2 answers:
arlik [135]3 years ago
7 0

To convert temperatures in degrees Celsius to Fahrenheit, multiply by 1.8 (or 9/5) and add 32.

<span>Example: 30°C x 1.8 + 32 = 86°F</span>
hammer [34]3 years ago
7 0
0 degrees celcius (initial starting point)= 32F. From there each degree that goes up in celsius goes up 1.8F.
0 degrees fahrenheit = -17.77C. From there each degree that goes up in fahrenheit goes up 0.5556C
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Triangle JKL has vertices J(0,2), K(−1,2), and L(0,−3). What are the coordinates of the image of point K after a dilation with a
Yakvenalex [24]

Answer:

K(-4 , 8)

Step-by-step explanation:

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4 0
2 years ago
What is - 5 = -2 what is the questionwhat is the question
Anni [7]

Answer:

-5 + 3 = -2

Step-by-step explanation:

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5 0
3 years ago
Can some one help me with this
Studentka2010 [4]
The answer is 2 i hope this helps
7 0
3 years ago
How to solve using substitution
DiKsa [7]
X+5 = x^2 - x + 2
0 = x^2 -2x - 3
0 = (x-3)(x+1)

x = -1,3

y = -1 + 5 OR y = 3+5
y = 4 OR y = 8

y = 4,8

So we have two ordered pairs, (-1,4) and (3,8).

Hope that helped!

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4 0
2 years ago
For women aged 19-24, systolic blood pressures (in mm Hg) are normally distributed with a mean of 114.8 and a standard deviation
Mrac [35]

Answer: p = 0.00714

Step-by-step explanation:

Since the population standard deviation of the distribution is known, the z test ( which produces the z score) is the perfect test for finding the probability of the data set in the question.

From the question,

Population mean (u) = 114.8

Sample mean (x) = 121.5

Population standard deviation (σ) = 13.1

Sample size (n) = 23

The z score formulae is given below as

Z = x - u/σ/√n

Z = 121.5 - 114.8/(13.1/√23)

Z = 6.7/(13.1/√23)

Z = 6.7/2.731

Z = 2.45.

The question is interested in knowing the probability of mean systolic blood pressure greater than 121.5.

This implies that we are looking for the probability at which our z score is greater than 2.45: P(z>2.45)

The z score (z=2.45) has divided the distribution into two regions, z< 2.45 ( area to the left of the distribution) and z>2.45 ( area to the right of distribution).

Hence, p(z>2.45) + p(z<2.45) = 1

To get a the probability, we have to use a standard normal distribution table.

The table we have here gives probability of the distribution to the left ( that's area towards the left), hence we need to find p(z<2.45) first

From the table p(z<2.45) = 0.99286

But p(z>2.45) = 1 - p(z<2.45)

p(z>2.45) = 1 - 0.99286

p(z>2.45) = 0.00714

8 0
3 years ago
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