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solmaris [256]
3 years ago
14

One point four four divided by zero piont 4

Mathematics
2 answers:
ivanzaharov [21]3 years ago
6 0

Answer:

3.60

Step-by-step explanation:

1.44/0.4 is 3.60

sdas [7]3 years ago
6 0

Answer:

1.4/0.4 = 3.5

Step-by-step explanation:

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Lelu [443]

Answer:

var apples;

apples = 20;

4 0
2 years ago
Besides 26 and 1, what is one factor of 26?
Ainat [17]
13 and 2, I think that is the only one left.

5 0
3 years ago
Read 2 more answers
Construct a frequency distribution and a frequency histogram for the data set using the indicated number of classes. Describe an
elena-s [515]

Answer and Explanation:

Number of classes = 8

    Highest value =2300

  Lowest value = 1250

Class width= highest value – lowest value / number of classes

               = 2300 – 1250/8

                = 131.25 = 132

So, we can write class as 1250+132=1382

Class                                        frequency

1250-1382                                 2

1382-1514                                 3

1514-1646                                 6

1646-1778                                 2

1778-1910                                 3

1910-2042                                 2

2042-2174                                 1

2174-2306                                 1

8 0
3 years ago
A random sample of n = 9 structural elements is tested for comprehensive strength. We know the true mean comprehensive strength
irinina [24]

Answer:

Probability that the sample mean comprehensive strength exceeds 4985 psi is 0.99999.

Step-by-step explanation:

We are given that a random sample of n = 9 structural elements is tested for comprehensive strength. We know the true mean comprehensive strength μ = 5500 psi and the standard deviation is σ = 100 psi.

<u><em>Let </em></u>\bar X<u><em> = sample mean comprehensive strength</em></u>

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 comprehensive strength = 5500 psi

            \sigma = standard deviation = 100 psi

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.

Now, Probability that the sample mean comprehensive strength exceeds 4985 psi is given by = P(\bar X > 4985 psi)

    P(\bar X > 4985 psi) = P( \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } } > \frac{4985-5500}{\frac{100}{\sqrt{9} } } ) = P(Z > -15.45) = P(Z < 15.45)

                                                                  = <u>0.99999</u>

<em>Since in the z table the highest critical value of x for which a probability area is given is x = 4.40 which is 0.99999, so we assume that our required probability will be equal to 0.99999.</em>

4 0
3 years ago
Is Alexis drove her car for three hours and drove 150 miles and then drove her car for 350 miles in four hours what is her avera
goblinko [34]
Total miles:350+150=500
Total hours:4+3=7
Avg speed:500/7=71.429 mph
4 0
3 years ago
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