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kozerog [31]
2 years ago
8

Write these numbers in order from greatest to least 3/4 0.09 2/5 0.5 1/3

Mathematics
2 answers:
stepladder [879]2 years ago
8 0

Answer:

The numbers in order from greatest to least is

3/4, 0.5, 2/5, 1/3, 0.09

Step-by-step explanation:

Sergeu [11.5K]2 years ago
7 0
3/4, 0.5, 1/3, 0.09.
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In the equation y=-2x + 3, if x = 7, what does y equal
Ahat [919]

Answer:

-11

Step-by-step explanation:

-14+3=-11

7 0
3 years ago
A store pays $10 for a blanket, and the markup is 115%. A customer will also pay a 5 1/2% sales tax. What will be the total cost
Naddik [55]
Firstly, we need to find the price of the blanket/bracelet after the 115% increase.
     $10 x 1.15 = $15.20

Now for the 5.5% sales tax, which is applied the the new value of $15.20
     $15.20 x 0.055 = 0.83
     $15.20 + $0.83 = $16.03

The final cost for the blanket/bracelet is %16.03
8 0
3 years ago
Tony bowled 135 and 145 in his first two games. write and solve a compound inequality to find the possible values for a third ga
stira [4]
The average has to be at least 120 and at most 130
To calculate the average we need the sum of all values divided by the number of values, in this case, three (135, 145 and the third result).
120 ≤ (135 + 145 + n)/3 ≤ 130

In inequalities like this, what we change in one side, must be changed in the othe rside as well.
360 ≤ 280 + n ≤ 390
80 ≤ n ≤ 110

5 0
3 years ago
Suppose that a college determines the following distribution for X = number of courses taken by a full-time student this semeste
lidiya [134]

Answer:

E(X) = \sum_{i=1}^n X_i P(X_i) = 3*0.07 +4*0.4 +5*0.25 +6*0.28= 4.74In order to find the variance we need to calculate first the second moment given by:

E(X^2) = \sum_{i=1}^n X^2_i P(X_i) = 3^2*0.07 +4^2*0.4 +5^2*0.25 +6^2*0.28= 23.36And the variance is given by:

Var(X) = E(X^2) +[E(X)]^2 = 23.36 -[4.74]^2 = 0.8924

And the deviation would be:

Sd(X) =\sqrt{0.8924} =0.9447

Step-by-step explanation:

Previous concepts

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).  

Solution to the problem

For this case we have the following distribution given:

X          3      4       5        6

P(X)   0.07  0.4  0.25  0.28

We can calculate the mean with the following formula:

E(X) = \sum_{i=1}^n X_i P(X_i) = 3*0.07 +4*0.4 +5*0.25 +6*0.28= 4.74

In order to find the variance we need to calculate first the second moment given by:

E(X^2) = \sum_{i=1}^n X^2_i P(X_i) = 3^2*0.07 +4^2*0.4 +5^2*0.25 +6^2*0.28= 23.36

And the variance is given by:

Var(X) = E(X^2) +[E(X)]^2 = 23.36 -[4.74]^2 = 0.8924

And the deviation would be:

Sd(X) =\sqrt{0.8924} =0.9447

3 0
3 years ago
Can someone solve these, please?
Bumek [7]

Answer:

min is 3  max is 16  q1 is 7

median is 12

q3 is 13

Step-by-step explanation:

4 0
3 years ago
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