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nataly862011 [7]
4 years ago
11

What is the answer to this equation. (8+H) - 12

Mathematics
1 answer:
WITCHER [35]4 years ago
5 0

Answer:

H-4

Step-by-step explanation:

Let's simplify step-by-step.

8+H−12

=8+H+−12

Combine Like Terms:

=8+H+−12

=(H)+(8+−12)

=H+−4

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1. How can this model be used to determine 2.3−0.26 ?
Anon25 [30]

Answer:

1.  2 wholes is (2) tenths and (10) hundredths

 2 wholes is (0) tenths and (4) hundredths

difference of 2.3 and .26 is (2.04)

2.  Yasmine estimated the difference to be (82).  The actual difference is (81.91)

Step-by-step explanation:

5 0
4 years ago
An Amazon driver drives two different routes:
34kurt

Answer:

Step-by-step explanation:

4.5 miles

8 0
3 years ago
PLEASE HELP! THIS IS A BIG PART OF MY GRADE AND IS DUE RLLY SOON. I DONT WANNA FAIL, I WILL GIVE BRAINLIEST.
sweet [91]

Answer:

8931

Step-by-step explanation:

                     1 1 1

21 x 18 x 13 = 4914

16 x (18x13) = 3744

        13 x 21 = 273

                      -------

                      8931

Hope this helps  :|

(I am not 100% Sure, you should double check)

3 0
3 years ago
Suppose that a company prints baseball cards. They claim that 30% of the cards feature rookies, 60% feature veterans, and 10% fe
liraira [26]

Answer:

H0: The distribution of players featured on the cards is 0.30 rookies, 0.60 veterans, and 0.10 All-Stars.

Ha: At least one of the proportions in the null hypothesis is false.

Step-by-step explanation:

On this case we need to apply a Chi squared goodness of fit test, and the correct system of hypothesis would be:

H0: The distribution of players featured on the cards is 0.30 rookies, 0.60 veterans, and 0.10 All-Stars.

Ha: At least one of the proportions in the null hypothesis is false.

And in order to test it we need to have observed and expected values. On this case we  can calculate the Expected values like this

E_{rookies}=50*0.3=15

E_{veterans}=50*0.6=30

E_{All stars}=50*0.1=5

The observed values are not provided. The statistic on this case is given by:

\chi^2 =\sum_{i=1}^n \frac{(O_i) -E_i}{E_i}

And this statistic follows a chi square distribution with k-1 degrees of freedom on this case k=3, since we have 3 groups.

We can calculate the p valu like this:

P(\chi^2 > \chi^2_{calculated})=p_v

And if the p value it's higher than the significance level we FAIL to reject the null hypothesis. In other case we reject the null hypothesis.

5 0
3 years ago
What value is equivalent to 32 · 43?
Yuri [45]

Answer:

1376

Step-by-step explanation:

32 · 43 = 32 x 43

=> 32 x 43 = 1376.

Therefore, 1376 is our answer.

Hoped this helped.

5 0
3 years ago
Read 2 more answers
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