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yuradex [85]
3 years ago
12

What is 8.2 divided by 8688 rounded to the nearest whole number

Mathematics
2 answers:
Nadya [2.5K]3 years ago
7 0
Rounded to a whole number, it would be 1

the actual answer is 0.009447
Usimov [2.4K]3 years ago
3 0
The answer is 1 because 8.2/8688 = <span>0.00094383057</span>      
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Is the sequence -2, -10, -50, -250 arithmetic?
Elena L [17]

This is not an arithmetic sequence.

It does not go up or down by the same amount each time.


It is a geometric sequence

it is multiplied by 5 each time

7 0
3 years ago
If a hat costs 15$ and the sales tax is 10% how much money do you need to buy the hat
GREYUIT [131]

Answer:

the answer would be 16.50

6 0
3 years ago
We roll two fair 6-sided dice, A and B. Each one of the 36 possible outcomes is assumed to be equally likely. 1) Find the probab
Jlenok [28]

Answer:

1) 41.67% probability that dice A is larger than dice B.

2) Given hat the roll resulted in a sum of 5 or less, there is a 20% conditional probability that the two dice were equal.

3) Given that the two dice land on different numbers there is a 26.67% conditional probability that the two dice differed by 2.

Step-by-step explanation:

A probability is the number of desired outcomes divided by the number of total outcomes.

In this problem, we have these possible outcomes:

Format(Dice A, Dice B)

(1,1), (1,2), (1,3), (1,4), (1,5),(1,6)

(2,1), (2,2), (2,3), (2,4), (2,5),(2,6)

(3,1), (3,2), (3,3), (3,4), (3,5),(3,6)

(4,1), (4,2), (4,3), (4,4), (4,5),(4,6)

(5,1), (5,2), (5,3), (5,4), (5,5),(5,6)

(6,1), (6,2), (6,3), (6,4), (6,5),(6,6)

There are 36 possible outcomes.

1) Find the probability that dice A is larger than dice B.

Desired outcomes:

(2,1)

(3,1), (3,2)

(4,1), (4,2), (4,3)

(5,1), (5,2), (5,3), (5,4)

(6,1), (6,2), (6,3), (6,4), (6,5)

There are 15 outcomes in which dice A is larger than dice B.

There are 36 total outcomes.

So there is a 15/36 = 0.4167 = 41.67% probability that dice A is larger than dice B.

2) Given that the roll resulted in a sum of 5 or less, find the conditional probability that the two dice were equal.

Desired outcomes:

Sum of 5 or less and equal

(1,1), (2,2)

There are 2 desired outcomes

Total outcomes:

Sum of 5 or less

(1,1), (1,2), (1,3), (1,4)

(2,1), (2,2), (2,3)

(3,1), (3,2)

(4,1)

There are 10 total outcomes.

So given hat the roll resulted in a sum of 5 or less, there is a 2/10 = 20% conditional probability that the two dice were equal.

3) Given that the two dice land on different numbers, find the conditional probability that the two dice differed by 2.

Desired outcomes

Differed by 2

(1,3), (2,4), (3,1), (3,5),(4,2),(4,6), (5,3), (6,4).

There are 8 total outcomes in which the dices differ by 2.

Total outcomes:

There are 30 outcomes in which the two dice land of different numbers.

So given that the two dice land on different numbers there is a 8/30 = 0.2667 = 26.67% conditional probability that the two dice differed by 2.

7 0
3 years ago
Respuesta por favor
vfiekz [6]
27.50 x 4 = 110
27.50 x 5 = 137.5
3 0
3 years ago
a study on the latest fad diet claimed that the amounts of weight lost by all people on this diet had a mean of 20.8 pounds and
NikAS [45]

The standard deviation of the sampling distribution of the sample means is 20.8

What is Sample mean?

A sample is just a small part of a whole. For example, if you work for a polling company and want to know how much people pay for food a year, you aren’t going to want to poll over 300 million people. Instead, you take a fraction of that 300 million (perhaps a thousand people); that fraction is called a sample. The mean is another word for “average.” So in this example, the sample mean would be the average amount those thousand people pay for food a year.

The sample mean is useful because it allows you to estimate what the whole population is doing, without surveying everyone. Let’s say your sample mean for the food example was $2400 per year. The odds are, you would get a very similar figure if you surveyed all 300 million people. So the sample mean is a way of saving a lot of time and money.

Given that,

mean = \mu = 20.8

standard deviation =  σ   =  4.2

n=89

So, The sampling distribution of the sample means is:

\mu\bar x = \mu=20.8

Hence,

The standard deviation of the sampling distribution of the sample means is 20.8

To learn more about Sample mean, visit:

brainly.com/question/12892403

#SPJ4

8 0
1 year ago
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