The main difference between the learning activities that are applied in the two learning programs is that Dk provides for a broader age range of kids whilst the other is focused on a particular age group.
<h3>What is an Educational Software?</h3>
This refers to the use of software for the purposes of learning and teaching pupils to enhance their understanding of certain terms.
Hence, we can note that both DK and Big Boet make use of different educational software to teach schoolchildren and Dk focuses on a wide age range, Big Boet focuses on a particular age group,.
Read more about educational software here:
brainly.com/question/27159139
<em>In</em><em> </em><em>my</em><em> </em><em>knowledge</em><em> </em>
<em>up</em><em> </em><em>to</em><em> </em><em>2</em><em>0</em><em> </em><em>gallons</em><em> </em><em>at</em><em> </em><em>a</em><em> </em><em>time</em><em> </em><em>This water is stored in the animal's bloodstream</em>
Answer:
D. Is the Correct answer
Explanation:
not only did they pay more, they were offered for more as ransom!
Answer:
This not an appropriate use of a chi-square goodness-of-fit test because the Statistics teacher ab-initio wished to calculate the proportion of students at his school that are born in certain months and how significantly different it is from the proportion born in other months. The test of the null hypothesis conducted by the teacher will not going to provide a significant difference as encapsulated in <em>Chi-Square-goodness-of-fit test as </em>a non-parametric test.
Explanation:
Find vivid explanations from the definition and functions of <em>Chi-Square goodness of fit test </em>is a non-parametric test;
<em>Chi-Square goodness of fit test </em>is a non-parametric test that is used to find out how the observed value of a given phenomena is significantly different from the expected value. ... Then the numbers of points that fall into the interval are compared, with the expected numbers of points in each interval. It further goes to say that Chi-Square goodness of fit test as a non-parametric test is also used to find out how the observed value of a given phenomena is significantly different from the expected value. Then the numbers of points that fall into the interval are compared, with the expected numbers of points in each interval.
I am rooting for either B or C.
