Answer:
<em>T</em><em>h</em><em>e</em><em> </em><em>c</em><em>o</em><em>r</em><em>r</em><em>e</em><em>c</em><em>t</em><em> </em><em>a</em><em>n</em><em>s</em><em>w</em><em>e</em><em>r</em><em> </em><em>i</em><em>s</em><em> </em><em>y</em><em>.</em>
Step-by-step explanation:
<em>h</em><em>o</em><em>p</em><em>e</em><em> </em><em>i</em><em>t</em><em> </em><em>w</em><em>o</em><em>r</em><em>k</em><em>s</em><em> </em><em>o</em><em>u</em><em>t</em><em> </em><em>!</em><em>!</em>
Answer:
The median is the best measure of center for distributions C and D.
Step-by-step explanation:
The <u>median</u> is the best measure of center for skewed distributions or distributions with outliers because it is a <u><em>robust</em></u> statistic, meaning that outliers and skewed data have <em>little effect </em>on the median.
Meanwhile, the <u>mean</u> is a good measure of center for symmetric distributions since it is <u><em>non-robust</em></u>.
Answer A has a roughly symmetric distribution, and answer B has a uniform distribution.
Answer C has a left-skewed distribution, and answer D seems to have a right-skewed distribution (since the right tail is longer than the left tail).
Therefore, the <u>median</u> would be the <u><em>best measure of center</em></u> for choices C and D.
Step-by-step explanation:
y is directly proportional to x^2.
This means that y = kx^2, where k is a real constant.
When x = 7, y = 245:
245 = k(7)^2 = 49k. By division, k = 5.
Now we know that y = 5x^2, when x = 9, y = 5(9)^2 = 5 * 81 = 405.
Answer:
The researcher should use correlation analysis for his studies.
Step-by-step explanation:
What is correlation?
Correlation is a statistical tool used to quantify the degree to which two variables are related. Through the correlation analysis, you evaluate correlation coefficient that tells you how much one variable changes when the other one does. Correlation analysis provides you with a linear relationship between two.
Types of correlation
1. Positive, Negative or Zero Correlation:
2. Linear or Curvilinear Correlation:
3. Scatter Diagram Method:
4. Pearson's Product Moment
Coefficient of Correlation:
5. Spearman's Rank Correlation
Coefficient:
