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spin [16.1K]
2 years ago
11

When the same probability is assigned to each outcome of a sample space, the experiment is said to have _______ ________ outcome

s.
Mathematics
2 answers:
zhuklara [117]2 years ago
8 0

Answer:

Equally likely

Step-by-step explanation:

Hope this is right!

sasho [114]2 years ago
6 0
The answer is Equally likely :)))
You might be interested in
Standard form 6000000+80000+10
SIZIF [17.4K]
6,080,010 hope this helps you 

8 0
3 years ago
Read 2 more answers
h = -16t^2 + 541? its been forever since i had to do this and frankly I'm completely lost. please if you answer this can you tea
natta225 [31]
A = -16  b = 0  c = 541
Use the quadratic formula which is
x = [-b +- sq root (b^2 -4*a*c)] / 2*a
x = [-0 +-sq root (0 -4*-16*541)] / 2 * -16
x = + - sq root (0 -4*-16*541) / -32
x = + - sq root (34,624) / -32
x = + - 186.075 / -32

x1 = 186.075 / -32 = <span> <span> <span> -5.81484375 </span> </span> </span>
x2 = -186.075 / -32 = <span> <span> <span> 5.81484375 </span> </span> </span>


7 0
3 years ago
-7(-9) need help again
sdas [7]

Answer:

63

Step-by-step explanation:

-7 * -9 = 63

negative times negative is always positive:)

8 0
3 years ago
Read 2 more answers
A leading magazine (like Barron's) reported at one time that the average number of weeks an individual is unemployed is 33.9 wee
MArishka [77]

Answer:

P(35.3 < M < 35.4) = 0.0040.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 33.9, \sigma = 6.7, n = 119, s = \frac{6.7}{\sqrt{119}} = 0.6142

Find the probability that a single randomly selected value is between 35.3 and 35.4

This is the pvalue of Z when X = 35.4 subtracted by the pvalue of Z when X = 35.3. So

X = 35.4

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{35.4 - 33.9}{0.6142}

Z = 2.44

Z = 2.44 has a pvalue of 0.9927

X = 35.3

Z = \frac{X - \mu}{s}

Z = \frac{35.3 - 33.9}{0.6142}

Z = 2.28

Z = 2.28 has a pvalue of 0.9887

0.9927 - 0.9887 = 0.0040

So the answer is:

P(35.3 < M < 35.4) = 0.0040.

4 0
3 years ago
Someone help me please thanks
Verizon [17]
The rate of change is about 1 mm. 

7 0
3 years ago
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