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Naily [24]
3 years ago
9

Write time and one way you can read it

Mathematics
2 answers:
Helen [10]3 years ago
7 0
10:16 is the time. one way to read it is twenty after ten. hope i helped!
lara31 [8.8K]3 years ago
5 0
#2 10:20 of that helps can u help me on my question
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A simple random sample of 100 men is chosen form a population with mean height 71 in and standard deviation 2.5 in. What is the
ankoles [38]

Answer:

2.28%

Step-by-step explanation:

The z score is used to determine how many standard deviations that the raw score is above or below the mean. If the z score is positive then the raw score is above the mean and if it is negative then it is below the mean. It is given by:

z=\frac{x-\mu}{\sigma}\\ \\\mu = mean, \sigma=standard\ deviation,x=raw\ score\\\\For\ a\ sample\ n\\\\z=\frac{x-\mu}{\sigma/\sqrt{n} }\\\\For\ x

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3 years ago
Do yall know what 81 ➗ 918 =<br><br> if yall know ill give brainleist
Ksju [112]
0.088235294117647 (20 characters thing)
6 0
3 years ago
1. Write an expression that consists of three terms.
mojhsa [17]
1. x+y+1 (x, y, and 1 are all terms)
2. 1+2
3 0
3 years ago
A fruit recipe requires 2 apples and 3 Mangoes.A baker has 37 Mangoes.What is the smallest number of apples he will need to bake
Mkey [24]

With 37 mangoes you can bake 12 fruit tarts, because you need 3 mangoes for each tarts and you'll use 12\cdot 3 = 36 mangoes. The remaining mango is not enough for another tart.

On the other hand, in order to bake 12 tarts, you'll need 24 apples, because you need 2 apples per tart.

So, with 12 apples and 37 mangoes you can bake 12 tart, with one mango as leftover.

6 0
3 years ago
The range of the random variable X is {1, 10, 15, 20, 25, x} where x is unknown. The value x has probability 0.50 and each of th
marin [14]

Answer:

22.1 = 1*0.1 +10*0.1 +15*0.1 + 20*0.1 +25*0.1 + x*0.5

And we can solve for the value of x and we got:

22.1 -[1*0.1 +10*0.1 +15*0.1 + 20*0.1 +25*0.1 ] = 0.5 x

15 = 0.5 x

x =30.0

Step-by-step explanation:

For this case we have the following distribution:

X        1       10     15    20   25    x

P(X)   0.1    0.1    0.1   0.1   0.1   0.5

The expected value of a random variable X is the n-th moment about zero of a probability density function f(x) if X is continuous, or the weighted average for a discrete probability distribution, if X is discrete.

The variance of a random variable X represent the spread of the possible values of the variable. The variance of X is written as Var(X).  

The expected value is given by:

E(X) = \sum_{i=1}^n X_i P(X_i)

And replacing we have this:

22.1 = 1*0.1 +10*0.1 +15*0.1 + 20*0.1 +25*0.1 + x*0.5

And we can solve for the value of x and we got:

22.1 -[1*0.1 +10*0.1 +15*0.1 + 20*0.1 +25*0.1 ] = 0.5 x

15 = 0.5 x

x =30.0

6 0
3 years ago
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