Answer:
Step-by-step explanation:
When m=6
(1) The difference of the product of 3 and m minus the quotient of m divided by 2

(2)The sum of 3 times m and 4 times m
3m+4m
=3(6)+4(6)
=18+24
=42
(3)The quotient of 6 divided by the difference of m minus 3

(4)The sum of m and 3 divided by the difference of m minus 3

20.30 x .65 + answer. 13.195 + 20.30= 33.495 or 33.50
<span>We could use 7+7=14 to find the sum of 6+7.
<u><em>Explanation</em></u><span><u><em>: </em></u>
7+7=14 is one of the two closest doubles to 6+7.
We know that:
7 is 1 more than 6; this means:
7+7 will be 1 more than 6+7.
7+7=14, so finding 1 less,
6+7=13.</span></span>
Answer:
405.80
Step-by-step explanation:
So, we know Carlos ran 21 miles per week, for 12 weeks....
That makes 21 mi/wk x 12 weeks = 252 miles.
Then we know each km is 0.621 mile.
So, we divide 252 miles by 0.621 mile/km to get= 405.80 km
Dividing miles by miles/km gives us the unit we want (km).
<u>There was a trap in this question,</u> because if instead of dividing the 252 miles by 0.621 you would have multiplied it, you would have gotten another answer listed... just not the right one. :-)
Answer:
C. H0 : p = 0.8 H 1 : p ≠ 0.8
The test is:_____.
c. two-tailed
The test statistic is:______p ± z (base alpha by 2) 
The p-value is:_____. 0.09887
Based on this we:_____.
B. Reject the null hypothesis.
Step-by-step explanation:
We formulate null and alternative hypotheses as proportion of people who own cats is significantly different than 80%.
H0 : p = 0.8 H 1 : p ≠ 0.8
The alternative hypothesis H1 is that the 80% of the proportion is different and null hypothesis is , it is same.
For a two tailed test for significance level = 0.2 we have critical value ± 1.28.
We have alpha equal to 0.2 for a two tailed test . We divided alpha with 2 to get the answer for a two tailed test. When divided by two it gives 0.1 and the corresponding value is ± 1.28
The test statistic is
p ± z (base alpha by 2) 
Where p = 0.8 , q = 1-p= 1-0.8= 0.2
n= 200
Putting the values
0.8 ± 1.28 
0.8 ± 0.03620
0.8362, 0.7638
As the calculated value of z lies within the critical region we reject the null hypothesis.