Answer:
C. Belt.
Explanation:
The dictionary is a book that lists words in alphabetical order, while also providing the meanings. This order enables readers to easily find and access words that they want.
In order to locate or find the word that belongs between "believe" and "bench", we must consider the individual letters of the two words.
Now, "believe" starts with 'bel-' and the other word "bench" starts with "ben-". So, the required word will have the third letter in between the letters "l" and "n".
Among the given words, the only word possible to be located in between the words "believe" and "bench" is "belt".
Thus, the correct answer is option C.
Answer:
It is difficult to interpret such a complex interaction.
Explanation:
I can't give explanation for this one
Answer: the new south
Explanation: have a good day
Answer:
Over the centuries, the Great Wall has been built and rebuilt for three main purposes: as kingdom border defenses, to defend China's northern border, and for tourism. Read on to see why China built or did not build, the Great Wall in different historical periods
Explanation:
hope this helps probably doesn't cause you asked this question a while ago but have a good rest of your day :) ❤
The correct answer is B.
<u>Therefore the appropiate null and alternative hypothesis are the following:</u>
. H 0 : p 1 = p 2
H 1 : p 1 ≠ p 2
The aim of the test would be to conclude whether H0 should be rejected or not at a 10% significance level.
<u>In this case a billateral significance test needs to be conducted,</u> as such a test consists on testing the equality of the test value with a given value. In this case the H0 would be rejected if the test value is significanly different, both in the case that it is superior or inferior.
On the contrary, an unilateral significance test would have been conducted if aiming to check whether a value is superior or equal to the test value (left unilateral) or inferior or equal to this value (right unilateral).
Then, the result of the test is the one stated: rejecting H0 at the 10% significance level.