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konstantin123 [22]
2 years ago
14

Abigail plays a game in which she spins a spinner over and over again. The spinner has 4 equally sized sections labeled 1 throug

h 4. Spinning a 2 eight times means the game is over.
Abigail uses a uniform probability model to predict the number of times the spinner will be spun before the number 2 appears 8 times.

What is Abigail's prediction for the number of total spins before the number 2 appears 8 times?


32 spins

16 spins

8 spins

4 spins
Mathematics
1 answer:
Andrew [12]2 years ago
5 0

Answer:

Part 1: The option (A) is correct. The prediction of the event is 32 spins.

Part 2: Option (B) is correct. The probability of the event is 139 passwords.

Part 3: The P(yellow or blue) is 2/6.

Part 4: Option (B) is correct.

Part 5: Both options (A) and (C) are correct.

Step-by-step explanation:

please brainless

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The US postal service delivered 7.14 x 1010 pieces of mail in the month of December and 3.21 x 1010 in the month of January. Wha
kupik [55]
The US postal service delivered 7.14 x 1010 pieces of mail in the month of December 7.14 x 1010=7211.4

3.21 x 1010 in the month of January. 3242.1

What is the total mail delivered for these two months?

7211.4
+ 3242.1
__________

10453 .5 TOTAL MAIL
4 0
3 years ago
Assume that 63% of people are left-handed. If we select 5 people at random, find the probability of each outcome described below
mash [69]

Answer:

a. 0.9931

b. 0.3423

c. 0.3907

d. 0.2670

e. 3.15

f. 1.0796

Step-by-step explanation:

The probability of the variable that said the number of left-handed people follow a Binomial distribution, so the probability is:

P(x)=nCx*p^{x}*(1-p)^{n-x}

nCx is calculated as:

nCx=\frac{n!}{x!(n-x)!}

Where x is the number of left-handed people, n is the number of people selected at random and p is the probability that a person is left--handed. So P(x) is:

P(x)=5Cx*0.63^{x}*(1-0.63)^{5-x}

Then the probabilities P(0), P(1), P(2), P(3), P(4) and P(5) are:

P(0)=5C0*0.63^{0}*(1-0.63)^{5-0}=0.0069

P(1)=5C1*0.63^{1}*(1-0.63)^{5-1}=0.0590

P(2)=5C2*0.63^{2}*(1-0.63)^{5-2}=0.2011

P(3)=5C3*0.63^{3}*(1-0.63)^{5-3}=0.3423

P(x)=5C4*0.63^{4}*(1-0.63)^{5-4}=0.2914

P(x)=5C5*0.63^{5}*(1-0.63)^{5-5}=0.0993

Then, the probability P(x≥1) that there are some lefties among the 5 people is:

P(x≥1) = P(1) + P(2) + P(3) + P(4) + P(5)

P(x≥1) = 0.0590 + 0.2011 + 0.3423 + 0.2914 + 0.0993 = 0.9931

The probability P(3) that there are exactly 3 lefties in the group is:

P(3) = 0.3423

The probability P(x≥4) that there are at least 4 lefties in the group is:

P(x≥4) = P(4) + P(5) = 0.2914 + 0.0993 = 0.3907

The probability P(x≤2) that there are no more than 2 lefties in the group is:

P(x≤2) = P(0) + P(1) + P(2) = 0.0069 + 0.0590 + 0.2011 = 0.2670

On the other hand, the expected value E(x) and standard deviation S(x) of the variable that follows a binomial distribution is:

E(x)=np=5(0.63)=3.15\\S(x)=\sqrt{np(1-p)}=\sqrt{5(0.63)(1-0.63)}=1.0796

6 0
3 years ago
there are different number of bikes tricycles in tandem bikes in the shop there are a total of 144 front steering handlebars 378
snow_lady [41]
144+378+320=842 just add the total number of bikes he has in the store
4 0
3 years ago
Need Help ASAP<br> Slope = -7;(4,-30)
Paraphin [41]
It’s 182 my work is in the picture

5 0
2 years ago
Read 2 more answers
If the probability that your DVD player breaks down before the extended warranty expires is 0.034, what is the probability that
schepotkina [342]

Answer:

0.966

Step-by-step explanation:

Given that:

Probability of DVD player breaking down before the warranty expires = 0.034

To find:

The probability that the player will not break down before the warranty expires = ?

Solution:

Here, The two events are:

1. The DVD player breaks down before the warranty gets expired.

2. The DVD player breaks down after the warranty gets expired

In other words, the 2nd event can be stated as:

The DVD does not break down before the warranty gets expired.

The two events here, have nothing in common i.e. they are mutually exclusive events.

So, Sum of their probabilities will be equal to 1.

\bold{P(E_1)+P(E_2)=1}\\\Rightarrow 0.034+P(E_2)=1\\\Rightarrow P(E_2)=1-0.034\\\Rightarrow P(E_2)=\bold{0.966}

7 0
3 years ago
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