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BaLLatris [955]
3 years ago
12

What is 9.946327812 to 1dp?

Mathematics
1 answer:
stepladder [879]3 years ago
7 0
-- 'Truncated' to one decimal place, it's 9.9 ,

-- 'Rounded' to one decimal place, it's 9.9 .

(These two operations don't always produce the same result.)
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The 12th term and the sim of 1+3+5+7+.....
zzz [600]

To find this, first find the factor or rate of which the numbers are moving. To do so do as follows.

subtract 1 from 3

3-1=2

So each number is having 2 added to it.

Now add two to 7 and the numbers afterwards till you get the 12th term

7+2=9

1+3+5+7+9

9+2=11

1+3+5+7+9+11

11+2=13

1+3+5+7+9+11+13

13+2=15

1+3+5+7+9+11+13+15

15+2=17

1+3+5+7+9+11+13+15+17

17+2=19

1+3+5+7+9+11+13+15+17+19

19+2=21

1+3+5+7+9+11+13+15+17+19+21

21+2=23

1+3+5+7+9+11+13+15+17+19+21+23

So 23 is the 12th term


7 0
3 years ago
Carl and Tamera want to compare their tests in math class. They have taken six tests. Should they use the mean, median or mode t
Roman55 [17]

Answer:

Mean

Step-by-step explanation:

I said mean because it would allow both Carl and Tamera to average their scores and compare one side by side rather than comparing 6 each which would just be time consuming and it seems like it wouldn't be any other choices.

7 0
2 years ago
Which expression is equivalent to (2g^3+4)^2
babunello [35]
(2g^3+4)^2= 4g^6 + 16g^3 + 16
The answer is B.
7 0
3 years ago
Read 2 more answers
The ______________ of a sample statistic is the probability distribution of the population of all possible values of the sample
enot [183]

Answer:

Sampling distribution

Step-by-step explanation:

The sampling distribution of a sample statistic is the probability distribution of the population of all possible values of the sample statistic.

4 0
3 years ago
You and a friend play a game where you each toss a balanced coin. If the upper faces on the coins are both tails, you win $1; if
dsp73

Answer:

Step-by-step explanation:

Given that you and a friend play a game where you each toss a balanced coin.

If the upper faces on the coins are both tails, you win $1;

if the faces are both heads, you win $2;

if the coins do not match (one shows a head, the other a tail), you lose $1 (win (−$1)).

Let Y be the amount won

Then Y can take values as 1,2 and -1

P(Y=1) =P(TT) = 0.25\\P(Y=2) = P(HH) = 0.25\\P(Y=-1) = P(HT)+P(TH) = 0.5

The above is the probability distribution for Y.

6 0
3 years ago
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