Traits may be determined by multiple genes.
Answer:
The correct answer is-
Hypothesis: Antibiotics cause weight gain in cows.
Independent Variable: Antibiotic pill
Dependent Variable: Weight of cow
Control Group: a group of cows gets a placebo pill
Experimental Group: a group of cows gets an antibiotic pill
Explanation:
The Independent variable is the variable that causes the response from the dependent variable or affects the dependent variable in this study the antibiotic pill affects the weight of cows so The independent variable is an antibiotic pill and the dependent variable is the weight of cows.
The control group is the group of subjects that did not get the treatment in a scientific study in the case of this study group of cows that receives the placebo pill is the control group and the experiment group is subjects that receive the treatment which is a group with the antibiotic pill.
Answer:
<em>S. aureus</em> is spherical and arranged in clusters
Explanation:
<em>Staphylococcus aureus </em>is a gram positive bacteria that forms a part of our body microbiota. It is usually found on skin and in upper respiratory tract. The genus name of this organism is <em>Staphylococcus </em>which tells a lot about its morphology. Cocci or coccus is the name given to bacteria who appear spherical. Staph points out to their arrangement which is in clusters. Had it been <em>Streptococcus</em>, it would mean that the bacteria were spherical and arranged in long chains. Similarly, <em>Diplococcus</em> would mean that the bacteria were spherical and arranged in groups of two. Hence from the name <em>Staphylococcus aureus </em> we can say that it is spherical and arranged in clusters.
Answer: normal
Explanation:
In experimental design, especially those involving drug treatment, specimens (e.g mice, rabbit etc) are drafted into several groups to study their degree of response to the particular drug being investigated.
Of all, a group of specimens named NORMAL is usually NOT exposed to treatment in order to
- allow objective comparison between scientific parameters before and after experiments
