Answer:
Chi-square analysis cannot be used to check for significant difference in the number of knee injuries among four sports.
Explanation:
The chi-square analysis is a statistical procedure that is used to test association between measured variables or goodness of fits of a set of measured variables to expected outcomes.
<em>In the case of testing for significant difference, chi-square analysis cannot be used as testing for significant difference in two or more means requires using t-test, analysis of variance, or any other relevant statistical procedure.</em>
To compare number of knee injuries reported among four sports for significant difference, the most suitable statistical procedure would be analysis of variance.
<em />
Answer:
Few crosses
The complexity of cat genetics
Crosses not controlled by the researcher
Explanation:
The purpose of this question is to determine why Megor Grendel is less famous than that of Gregor Mendel.
Gregor Mendel examined pea plants, which have a number of benefits for deducing genetic rules, including:
- The researcher has total control over the crosses.
- Because the peas have both self and cross-fertilization, it is possible to alter the crosses in the simplest way possible.
- Pea plants may be examined for a greater series of generations than cats or other animals.
- Because plant genetics is not overly complicated, several traits may be investigated at the same period.
As a result, the primary factors why Megor Grendel's experiments are not well-known:
- The presence of only a few crossings: It is impossible to establish a genetic theory with such a small number of crossings on the test subject of the organism.
- Cat genetics is too complicated therefore, the fur gene color on the X-chromosome, a characteristics mosaic inheritance. As a result, It is much too complicated to deduce an inheritance pattern.
- Crossings that the researcher cannot fully control. Unlike plants, crosses in animals cannot be totally controlled by the researcher.
As a result, it is impossible to draw any conclusions from them.
Answer:
25. red
24. A. Temperature and Luminoscity
Explanation:
Answer:
There are three main measures of central tendency: the mode, the median and the mean. Each of these measures describes a different indication of the typical or central value in the distribution.
