The answer will be 15/14, or 1 1/14 for the simplest form.
8 to 16
2 to 4
13 to 26
5 to 10
6 to 12
A.Fractions and decimals are not integers<span>. All whole </span>numbers<span> are</span>integers<span> (and all natural </span>numbers<span> are </span>integers<span>), but not all </span>integers<span>are whole </span>numbers<span> or natural </span>numbers<span>. For example, -5 is an </span>integer<span>but not a whole </span>number<span> or a natural </span>number<span>.
B.</span><span>A </span>number<span> is </span>rational<span> if it can be represented as p q with p , q ∈ Z and q ≠ </span>0<span> . Any </span>number<span> which doesn't fulfill the above conditions is irrational. It can be represented as a ratio of two integers as well as ratio of itself and an irrational </span>number<span> such that </span>zero<span> is not dividend in any case
</span>C.<span>In mathematics, an </span>irrational number<span> is any </span>real number<span> that cannot be expressed as a ratio of integers. </span>Irrational numbers<span> cannot be represented as terminating or repeating decimals.
</span>D.<span>The correct answer is </span>rational<span> and </span>real numbers<span>, because all </span>rational numbers<span> are also </span>real<span>. Correct. The </span>number<span> is between integers, so it can't be an integer or a whole </span>number<span>. It's written as a ratio of two integers, so it's a </span>rational number<span> and not irrational.
</span> Witch one do u think it is??
Answer:
1/6
Step-by-step explanation:
1/2/3 is a sixth of an apple that all 3 people equally shared.
Answer:
Step-by-step explanation:
The mean SAT score is 
, we are going to call it \mu since it's the "true" mean
The standard deviation (we are going to call it 
) is
Next they draw a random sample of n=70 students, and they got a mean score (denoted by 
) of 
The test then boils down to the question if the score of 613 obtained by the students in the sample is statistically bigger that the "true" mean of 600.
- So the Null Hypothesis 
- The alternative would be then the opposite 
The test statistic for this type of test takes the form
and this test statistic follows a normal distribution. This last part is quite important because it will tell us where to look for the critical value. The problem ask for a 0.05 significance level. Looking at the normal distribution table, the critical value that leaves .05% in the upper tail is 1.645.
With this we can then replace the values in the test statistic and compare it to the critical value of 1.645.
<h3>since 2.266>1.645 we can reject the null hypothesis.</h3>
