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aalyn [17]
3 years ago
12

A number cube labeled 1 through 6 is rolled. Find the probability that the cube lands on a number less than 5

Mathematics
1 answer:
natita [175]3 years ago
3 0

Answer:

2/3

Step-by-step explanation:

The number cube has 6 faces labelled 1 - 6.

There are 4 numbers less than 5 (1, 2, 3, 4).

Therefore, the probability that the cube lands on a number less than 5 is:

4/6 = 2/3

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Lexie, a bowler, claims that her bowling score is more than 140 points, on average. Several of her teammates do not believe her,
Crazy boy [7]

Answer:

The  test statistic is  t  = 3.744

Step-by-step explanation:

From the question we are told that

  The population mean is  \mu  =  140

  The  The  level of significance is  \alpha  =  0.05

  The  sample size is  n =  18

   The  null hypothesis is  H_o :  \mu =  140

    The  alternative hypothesis is  H_a  :  \mu > 140

    The sample mean is  \= x  =  155

     The  standard deviation is  \sigma  =  17

Generally the test statistics is mathematically represented as

       t  =  \frac{\= x  - \mu }{ \frac{ \sigma}{ \sqrt{n} } }

substituting values

      t  =  \frac{ 155  - 140 }{ \frac{ 17 }{ \sqrt{18} } }

      t  = 3.744

7 0
3 years ago
Melissa is making clothes for her dolls she has 7/8 yard of fabric each doll shirts require 2/7 of a yard of fabric. how many sh
vichka [17]

7/8 / 2/7 =

7/8 * 7/2 = 49/16 = 3 1/16

 she can make 3 shirts

4 0
3 years ago
Which equation could be a solution for (1, 3)?
rosijanka [135]
It is the second option
3 0
4 years ago
Thickness measurements of ancient prehistoric Native American pot shards discovered in a Hopi village are approximately normally
saveliy_v [14]

Answer:

0.8029 = 80.29% probability that the thickness is between 3.0 and 7.0 mm.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Mean of 4.6 millimeters (mm) and a standard deviation of 1.5 mm.

This means that \mu = 4.6, \sigma = 1.5

Find the probability that the thickness is between 3.0 and 7.0 mm.

This is the pvalue of Z when X = 7 subtracted by the pvalue of Z when X = 3. So

X = 7

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

Z = \frac{7 - 4.6}{1.5}

Z = 1.6

Z = 1.6 has a pvalue of 0.9452

X = 3

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

Z = \frac{3 - 4.6}{1.5}

Z = -1.07

Z = -1.07 has a pvalue of 0.1423

0.9452 - 0.1423 = 0.8029

0.8029 = 80.29% probability that the thickness is between 3.0 and 7.0 mm.

6 0
3 years ago
Anyone know how to solve this? Pease show how you got the answer:)
Alekssandra [29.7K]

- 56 ads jajjajahahahahajha

5 0
3 years ago
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