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sveta [45]
2 years ago
6

At Baceball practice, Asher caught 16 of 20 hits to the out field. Select all of the was of expressing 16 out of 20. a. 3/5 b. 0

.8 c.80% d.0.08
Mathematics
1 answer:
kvasek [131]2 years ago
3 0

Answer:

16 : 20 = 0,8 = 80%

Step-by-step explanation:

pls make me a brinist

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Make x the subject of this equation:<br><br> 3x - 5 = y
irakobra [83]

Answer:

Step-by-step explanation:

x+ y+5/3 hope this helps

6 0
2 years ago
How much is 5ml? How many teaspoons equals 5mls?
Makovka662 [10]
5ml is 0.00132086 and 1.01442 teaspoons equals to 5mls
6 0
3 years ago
20% of x is 11. What is x?
ipn [44]

Answer:

55

Step-by-step explanation:

20% is the same as 1/5, so we can multiply 11 by 5:

11*5=55

5 0
3 years ago
For a class project, students collect data about the ages of the male students (a) and their heights in inches (h). There was a
otez555 [7]
Since the equation, <span>h=1.6a+41, is linear, we know that the coefficient of x, or in this case a, is the slope. Therefore the correct answer would be

</span><span>The model predicts that for each year older a male student is, he is about 1.6 inches taller.</span>
8 0
3 years ago
Read 2 more answers
Assume that a sample is used to estimate a population proportion p. find the margin of error e that corresponds to the given sta
Leno4ka [110]

Let p be the proportion. Let c be the given confidence level , n be the sample size.

Given: p=0.3, n=1180, c=0.99

The formula to find the Margin of error is

ME = z _{\alpha/2}  \sqrt{\frac{p*(1-p)}{n}}

Where z (α/2) is critical value of z.

P(Z < z) = α/2

where α/2 = (1- 0.99) /2 = 0.005

P(Z < z) = 0.005

So in z score table look for probability exactly or close to 0.005 . There is no exact 0.005 probability value in z score table. However there two close values 0.0051 and 0.0049 . It means our required 0.005 value lies between these two probability values.

The z score corresponding to 0.0051 is -2.57 and 0.0049 is -2.58. So the required z score will be average of -2.57 and -2.58

(-2.57) + (-2.58) = -5.15

-5.15/2 = -2.575

For computing margin of error consider positive z score value which is 2.575

The margin of error will be

ME = z _{\alpha/2}  \sqrt{\frac{p*(1-p)}{n}}

= 2.575  \sqrt{\frac{0.30*(1-0.3)}{1180}}

= 2.575 * 0.0133

ME = 0.0342

The margin of error is 0.0342

7 0
2 years ago
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