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Levart [38]
3 years ago
6

1. Which of the following is an example of a primary sex characteristic?

Social Studies
1 answer:
PolarNik [594]3 years ago
7 0

Answer:

<em>The correct option is b) testes</em>

Explanation:

Primary sex organs can be described as the organs which are directly involved in reproduction. These organs include the male and female gonads  i,e testes and ovaries, external genitalia.

On the other hand, secondary sex characteristics can be described as the features that appear during puberty in humans, and at sexual maturity in other animals. Breasts, facial and body hair, body fat deposits, vocal change all are secondary characteristics.

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victus00 [196]

Answer:

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Explanation:

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3 0
2 years ago
What do Indus people do for a living? what activitys do they do? then and now
Helen [10]

<u>Answer:</u>

<em>The Indus people were mainly engaged in farming and animal husbandry for the living.</em>

<u>Explanation:</u>

<em>Due to the availability of fertile land, different crops and corns were cultivated.</em> There was a special crop holding place in each town for the storage of the crops.

Raising sheep for wool and growing cotton for fabrics are also major occupation of Indus people.

<em>At present, apart from farming and animal rearing, Indus people are also engaged in trade and business and services.</em>

6 0
2 years ago
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ruslelena [56]

Answer:

A. False

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C. False

Explanation:

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2 years ago
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icang [17]
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4 0
3 years ago
As your textbook discusses, a statistician once discovered that in one of the United States there was a negative correlation bet
svetlana [45]

Answer: correlation vs. causation

Explanation:

Correlation assesses the relationship between variables and can be in the same direction,  where the increase in one exists as the same time as an increase in the other variable or inverse where an increase in one variable occurs when there is a decrease in the second variable. However, this correlation does not indicate causation.

Causation signifies that one variable is responsible for the occurrence of  an event in the other variable. Clearly, there is no cause and effect between the number of mules and doctorate degrees in a state. Here, there is a correlation but a fundamental causative factor is absent between the two events.

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