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natima [27]
3 years ago
8

For math statistics: What is the probability of winning the lottery if you buy 2 tickets and 600 other people buy the tickets as

well? Rembember to show your work.
Mathematics
1 answer:
Sloan [31]3 years ago
7 0

Answer:

1 in 301

Step-by-step explanation:

you have 2 tickets

everyone else has 600 tickets

the odds are 2 in 602 = 1 in 301

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Write the following number in standard decimal form.<br> one and eighty-five hundredths
sergejj [24]

Answer:

1.85

Step-by-step explanation:

0ne (1) and Eighty - five hundredths (0.85)

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Solve for x. 3(3x - 1) + 2(3 - x) = 0
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The equation given in the question is
3(3x - 1) + 2(3 - x) = 0
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6x = - 3
x = - (3/6)
   = - (1/2)
So the value of x as has been determined above is -1/2. I hope the procedure is clear enough for you to understand.<span>You can always use this method for solving problems that are similar in type without requiring any help from outside. </span>



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3 years ago
In a card game it is possible to have negative score. If Laura starts with a score is 10 what will be her new score if she loses
Ilya [14]

Answer:

28

Step-by-step explanation:

10-38=28

$&#:÷&#&;#&$;'ebsjdkeowkdbs;#&$;'fbxjrbxjr

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3 years ago
Please help me!! i have no clue what i am doing on this one.
Sonja [21]

Answer:

yr answer is G. 21

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in the unted states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches. If 16
yaroslaw [1]

Answer:

Probability that their mean height is less than 68 inches is 0.0764.

Step-by-step explanation:

We are given that in the united states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches.

Also, 16 men are randomly selected.

<em>Let </em>\bar X<em> = sample mean height</em>

The z-score probability distribution for sample mean is given by;

              Z = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \mu = population mean height = 69 inches

            \sigma = population standard deviation = 2.8 inches

            n = sample of men = 16

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

So, probability that the mean height of 16 randomly selected men is less than 68 inches is given by = P(\bar X < 68 inches)

 P(\bar X < 68 inches) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } < \frac{68-69}{\frac{2.8}{\sqrt{16} } } ) = P(Z < -1.43) = 1 - P(Z \leq 1.43)

                                                           = 1 - 0.9236 = 0.0764

<em>Now, in the z table the P(Z  x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.43 in the z table which has an area of 0.92364.</em>

Therefore, probability that their mean height is less than 68 inches is 0.0764.

3 0
4 years ago
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