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3 years ago

The probability of getting a reading between 1.00 C and 1.75C is

Mathematics

1 answer:

Ganezh [65]3 years ago

4 0

Answer:

I don't know this answer sorry

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647.6 ÷ what = 0.6476

pshichka [43]

Answer:

.001

Step-by-step explanation:

You see it is the same numbers just it was moved 3 places to the left.

So the you would multiply it by .001 <------ there are 3 decimal places.

When you multiply them you get.

647.6*.001= .6476

3 0

3 years ago

Read 2 more answers

THIS QS with explanation sum

Anestetic [448]

Answer:

X = 276°

Step-by-step explanation:

Divide X into x1 and x2

then then using the trick of co-interior angles, find the answer of x1 and x2 . then add x1 and x2

6 0

3 years ago

a can of tomatoes has a base diameter of 9.7 centimeters andcan a height of 11 centimeter. what is the volume of the

iragen [17]

V=hpir^2
d/2=r
9.7/2=4.85=r

h=11

v=11*pi*4.85^2
v=11pi*23.5225
V=258.7475pi

if aprox pi=3.14
V=812.46715 cm^3

8 0

3 years ago

Could someone help me please please

Vera_Pavlovna [14]

this is what you get while graphing the equation ! hopes this helps with your answer !

5 0

3 years ago

Colton makes the claim to his classmates that less than 50% of newborn babies born this year in his state are boys. To prove thi

alexdok [17]

Answer:

Null hypothesis: $p \leq 0.5$

Alternative hypothesis: $p > 0.5$

The statistic is given by:

$z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}}$ (1)

Replacing we got:

$z=\frac{0.512-0.5}{\sqrt{\frac{0.5(1-0.5)}{344}}}=0.445$

Step-by-step explanation:

Information given

n=344 represent the random sample taken

X=176 represent the anumber of boys babies

$\hat p=\frac{176}{344}=0.512$ estimated proportion of boys babies

$p_o=0.5$ is the value that we want to check

z would represent the statistic

$p_v$ represent the p value

Hypotheis to verify

We want to check if the true proportion of boys is less than 50% then the system of hypothesis are .:

Null hypothesis: $p\leq 0.5$

Alternative hypothesis: $p > 0.5$

The statistic is given by:

$z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}}$ (1)

Replacing we got:

$z=\frac{0.512-0.5}{\sqrt{\frac{0.5(1-0.5)}{344}}}=0.445$

8 0

3 years ago