Answer:
As someone who is male, my actions are that of a male and expected of a male. While we live in a gender equal world, there are still gender-roles that we need to fulfill. That means despite being gender-equal, many women still expect me to become a gentleman. And I do it not because I am compelled by gender expectations but because I believe it is the right thing to do. Abiding by what is good and proper has brought me several benefits including being promoted at work. My upbringing as a male person as well has shaped how I behave today. I was told to respect women and other people by my parents, hence that is what I do right now. When someone else, a man or a woman is in need of help, I try to help them the best way I can. But of course, it is not always smooth sailing. There are also hindrances, for example in job placements. There are jobs where only women are allowed. This puts me at a disadvantage because I cannot apply for those jobs, despite me being qualified for them. But either way, whatever happens, I think what is important is mutual respect. Whatever our gender orientations are, if we have respect for each other, then the world will be a better place. Our socials skills need not be defined by our gender roles. So being male, or female should not matter, we are all humans.
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This kind of intelligence is called the savant syndrome. It's commonly found in people from the autism spectrum disorder. Some examples include people who are not independent and have problems interacting with other people but who can paint complex scenes after having seen them once.
The answer would be skills, like your driving skills
The Type II error would be to conclude that EnerG is no more nutritious than Supreme when Energy actually provides more health benefits.
Option b
<u>Explanation:</u>
Type II error sometimes referred to as beta error is a term in statistics that doesn’t reject the false-null hypothesis. It occurs when one refuses to reject the false null hypothesis. In this type of error, the false findings are accepted as true.
It also confirms two different scenarios as similar even though they are different. It can be reduced by adjusting the criteria of the null hypothesis by increasing tolerance with caution to ensure that the error type doesn’t end up being Type I error.