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Mumz [18]
3 years ago
13

If a fair coin is flipped 140 times, how many times would you predict that the coin lands on heads?

Mathematics
2 answers:
asambeis [7]3 years ago
5 0
70 times because there is a 50-50 chance of heads or tails
Alenkasestr [34]3 years ago
3 0

Answer:

70 times

Step-by-step explanation:

There is always a 50-50 chance on which side the coin can land, so on average, the coin lands 70 times on tales, and 70 times on heads.

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Suppose there is a 1.1 drop in temperature for every thousand feet that an airplane climbs into the sky. If the temperature on t
Alex73 [517]

Answer:

<h2>48.4° C</h2>

Step-by-step explanation:

Step one:

We are told that there is 1.1° drop in temperature for each 1000 ft climb.

since the given altitude is 11,000ft,

hence there =(11000/1000)*1.1

= 11*1.1

=12.1°C drops in temperature.

Therefore, given that the temperature on the ground is 60.5° C

The temperature above is 60.5-12.1=48.4° C

<u>The plane reaches an altitude of ​11,000 is 48.4° C</u>

7 0
3 years ago
Equation of the circle with center 2,1 and 5,2 a point on the circle
Rufina [12.5K]

Answer:

Step-by-step explanation:

The center tells you how to handle the left side of a circle's equation.

(x - 2)^2 + (x - 1)^2 = r^2

The point (5,2) gives you enough information to find r^2

x = 5

y = 2

(5 - 2)^2 + (2 - 1)^2 = r^2

(3)^2 + 1^2 = r^2

9 + 1 = r^2

r^2 = 10

Complete equation

(x - 2)^2 + (y - 1)^2 = 10

6 0
3 years ago
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A mom mixes 9 ounces of juice with 3 ounces of water. What present of the drank is juice?
lubasha [3.4K]

Answer:

6 ounces of juice

Step-by-step explanation:

6 0
3 years ago
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How to find the x intercept in -2/3x+8
zhenek [66]
Put in Ti-84 Calc answer = 14.666666667
7 0
3 years ago
Suppose u1, u2, ..., un are independent random variables and for every i = 1, ..., n, ui has a uniform distribution over [0, 1].
sattari [20]
Z=U_{(1)}=\min\{U_1,\ldots,U_n\}

has CDF

F_Z(z)=1-(1-F_{U_i}(z))^n

where F_{U_i}(u_i) is the CDF of U_i. Since U_i are iid. with the standard uniform distribution, we have

F_{U_i}(u_i)=\begin{cases}0&\text{for }u_i

and so

F_Z(z)=1-(1-F_{U_i}(z))^n=\begin{cases}0&\text{for }z

Differentiate the CDF with respect to z to obtain the PDF:

f_Z(z)=\dfrac{\mathrm dF_Z(z)}{\mathrm dz}=\begin{cases}n(1-z)^{n-1}&\text{for }0

i.e. Z has a Beta distribution \beta(1,n).
3 0
3 years ago
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