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3 years ago

5

You roll a die and then roll the die again. How many possible outcomes are there

2 answers:

siniylev [52]3 years ago

7 0

Answer:

Step-by-step explanation:

If one event has p possible outcomes, and another event has m possible outcomes, then there are a total of p • m possible outcomes for the two events. Rolling two six-sided dice: Each die has 6 equally likely outcomes, so the sample space is 6 • 6 or 36 equally likely outcomes.

nignag [31]3 years ago

4 0

Answer:

There will be 36 possible outcomes and 36 sample spaces

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20 POINTS , ALSO GIVING BRAINLIEST , PLEASE HURRY !!

liq [111]

Answer:

.5236

Step-by-step explanation:

Formula for sphere volume:

V = $\frac{4}{3} \pi r^{3}$

substiture 0.5 for r:

$\frac{4}{3} \pi 0.5^{3}$ = .5236

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3 years ago

A taxi charges $1.25 per mile and a flat fee of $2.75. How much would Maria pay for a 5 mile ride?

Olegator [25]

Answer:

9

Step-by-step explanation:

so you write the expression 2.75+1.25x= ?

If we subsitute the X for 5(miles) the we'll have the expression 2.75+1.25(5)= ?

and if you simplify that you will get 9.

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3 years ago

Find the equation of the line that passes through the points (2, 2) and (-4, -1).

Reil [10]

The answer is c. if you plug in the numbers for x you get the correct numbers for y

6 0

3 years ago

Read 2 more answers

Please help and explain i will give brainly if you do that

Furkat [3]

The slope is:8
Because
M=rise/run
Or
Y2-Y1/X2-X1
Sooo…
-8-0/-3-(-2)
Or 8

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7 0

2 years ago

Read 2 more answers

Your boss tells you that she knows the length of the widgets your company makes is normally distributed with a mean of 25 inches

sp2606 [1]

Answer:

Mean of sampling distribution = 25 inches

Standard deviation of sampling distribution = 4 inches

Step-by-step explanation:

We are given the following information in the question:

Mean, μ = 25 inches

Standard Deviation, σ = 12 inches

Sample size, n = 9

We are given that the distribution of length of the widgets is a bell shaped distribution that is a normal distribution.

a) Mean of the sampling distribution

The best approximator for the mean of the sampling distribution is the population mean itself.

Thus, we can write:

$\bar{x} = \mu = 25\text{ inches}$

b) Standard deviation of the sampling distribution

$s = \dfrac{\sigma}{\sqrt{n}} = \dfrac{12}{\sqrt{9}} = 4\text{ inches}$

8 0

3 years ago