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Lesechka [4]
3 years ago
6

Brian rolls a number cube twice. What is the probability that the sum of the 2 rolls is less than 6 given that the first roll is

a 3?
Mathematics
2 answers:
Alona [7]3 years ago
8 0
If the first roll is a three, then the only chance of the sum of the two numbers being less than six is if you roll a 1 or a 2.
That is 2/6 chance, or simplified, a 1/3 chance.

I hope this Helps!
den301095 [7]3 years ago
7 0

Answer:  The required probability is \dfrac{1}{3}.

Step-by-step explanation: Given that Brian rolls a number cube twice.

We are to find the probability that the sum of the 2 rolls is less than 6 given that the first roll is a 3.

Let, 'S' be the sample space for the experiment of rolling the second number cube when the first roll is a 3.

Then, S = {(3, 1), (3, 2), (3, 3), (3,4), (3, 5), (3, 6)}   ⇒  n(S) = 6.

And, let 'E' be the event that the sum of the two rolls is less than 6.

Then, E = {(3, 1), (3, 2)}  ⇒  n(E) = 2.

Therefore, the probability that the sum of the 2 rolls is less than 6 given that the first roll is a 3 is

P(E)=\dfrac{n(E)}{n(S)}=\dfrac{2}{6}=\dfrac{1}{3}.

Thus, the required probability is \dfrac{1}{3}.

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Consider independent simple random samples that are taken to test the difference between the means of two populations. The varia
Arturiano [62]

Answer:

d. t distribution with df = 80

Step-by-step explanation:

Assuming this problem:

Consider independent simple random samples that are taken to test the difference between the means of two populations. The variances of the populations are unknown, but are assumed to be equal. The sample sizes of each population are n1 = 37 and n2 = 45. The appropriate distribution to use is the:

a. t distribution with df = 82.

b. t distribution with df = 81.

c. t distribution with df = 41.

d. t distribution with df = 80

Solution to the problem

When we have two independent samples from two normal distributions with equal variances we are assuming that  

\sigma^2_1 =\sigma^2_2 =\sigma^2

And the statistic is given by this formula:

t=\frac{(\bar X_1 -\bar X_2)-(\mu_{1}-\mu_2)}{S_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}}}

Where t follows a t distribution with n_1+n_2 -2 degrees of freedom and the pooled variance S^2_p is given by this formula:

\S^2_p =\frac{(n_1-1)S^2_1 +(n_2 -1)S^2_2}{n_1 +n_2 -2}

This last one is an unbiased estimator of the common variance \sigma^2

So on this case the degrees of freedom are given by:

df= 37+45-2=80

And the best answer is:

d. t distribution with df = 80

5 0
3 years ago
Today Zack sold twice as many bags of popcorn at the ball game as he sold last Saturday. In the 2 days he sold a total of 96 bag
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Answer:

s=32\\t=64

Zack sold 32 bags of popcorn last Saturday, and 64 bags of popcorn today.

Step-by-step explanation:

Start by determining what information the question gives us, and what we need to find.

Given:

Zack sold <em>twice</em> as many bags of popcorn as he sold last Saturday

He sold <em>96 bags</em> altogether in the 2 days

Find:

s, number of bags he sold last Saturday

t, number of bags he sold today

Equation/System of Equations:

t=2s (OR "number of bags he sold today = number of bags he sold last Saturday multiplied by 2, or twice the amount he sold last Saturday)

t+s=96 (OR "number of bags he sold today + number of bags he sold last Saturday is equivalent to the amount of bag he sold altogether which is 96 bags as given by the question)

Solve:

We can solve this system of equations using substitution. In this case, we can substitute "2s" for "t" into the second equation giving us...

2s+s=96\\3s=96

Divide both sides by 3. Notice that the Division Property of Equality states that if you divide on side of the equation by something, you must divide the other side by the same quantity.

s=\frac{96}{3}\\s=32

Substitute 32 in for "s" to solve for "t"...

t=2s\\t=2(32)\\t=64

Answer:

Zack sold 32 bags of popcorn last Saturday, and 64 bags of popcorn today.

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