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docker41 [41]
2 years ago
13

Refrigerating or freezing foods will kill most or all bacteria present in the food. refrigerating or freezing foods will kill mo

st or all bacteria present in the food.
a. True
b. False
Biology
1 answer:
ExtremeBDS [4]2 years ago
3 0

<u>Answer</u>: Option b false

<u>Explanation</u>:

  • Refrigerating or freezing foods <em>does not kill all or most of the bacteria</em> in the food as lowering the temperatures of the food only renders the microbes present in it <em>inactive</em>. As soon as the food is brought back to normal temperature, the microorganisms present in it become active again.
  • The advantage of freezing food is only limited to the fact that once the food is frozen, all the microbes be it fungus, bacteria etc. become inactive and do not multiply and thus, freezing prolongs the shelf life of food, however once this food is thawed the micro organisms again become active  and start multiplying and can easily cause food borne illness.
  • So, the only way to kill the micro organisms present in the food is to cook the food to correct temperatures and not freezing.
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3 years ago
What is the difference between correlation and causal mechanism? 30POINTS!!!
Vlad1618 [11]

Answer & Explanation:

First, correlation and causation both need an independent and dependent variable. An independent variable is a condition or piece of data in an experiment that can be controlled or changed. A dependent variable is a condition or piece of data in an experiment that is controlled or influenced by an outside factor, most often the independent variable.

If there is a correlation, then sometimes we can assume that the dependent variable changes solely because the independent variables change. This is where the debate between correlation and causation occurs. However, there is a difference between cause and effect (causation) and relationship (correlation). Sometimes these areas can be confused and muddled when analyzing data.

  • You probably know that a correlation is the relationship between two sets of variables used to describe or predict information. There is an emphasis here on relationship. Sometimes we can use correlation to find causality, but not always. Remember that correlation can either be positive or negative.

A positive correlation, where the dependent variables and independent variables in a data set increase or decrease together.  If the numbers sloped downward, then you have a data set with a negative correlation, where the dependent variables and independent variables in a data set either increase or decrease opposite from one another.

Whilst a negative correlation means if the independent variables decrease, then the dependent variable would increase, and vice versa.

  • Causation, also known as cause and effect, is when an observed event or action appears to have caused a second event or action. For example, I bought a brand new bed comforter and placed it in my washing machine to be cleaned. After cleaning the comforter, my washing machine stopped working. I may assume that the first action, washing the comforter, caused the second action, broken washing machine.

<em>I hope this helped! :)</em>

8 0
3 years ago
Read 2 more answers
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