Who would have belonged to the middle class during the Industrial Age? O a person working in a factory
Oa farmer who owned his land
O a man who started a business
O amanager at a textile factory

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hi!

your answer is d

mark me brainliest

~courtney

the british invasion was also known as "english wave", was the predominant musical trend in the united states in the mid-60s, when numerous groups ofss rock & roll that were originally from the united kingdom, reached high levels of popularity beginning with the success of the beatles in north america. all these groups, clearly influenced by rock & roll, blues and american rhythm & blues, were able to elaborate simple songs

and catchy. in the middle of 1962 the rolling stones began like one of a series of groups that show more and more influence, along with bands like the animals and the yardbirds. in 1963, the beatles and other rhythm groups, such as the hollies, had achieved great popularity and commercial success in britain itself. the british rock received a pass to the popularity of musical currents in the united states in january 1964 with the success "i want to hold your hand" ranked number 1 on the billboard hot 100 list, beginning the british invasion of the music list of the united states.

also musical genres influenced by african rhythms such as soul, began to have popularity.

many of the best musicians in history are english: the beatles, queen, pink floyd, bowie, the smiths, led zeppelin.

a hypothesis is an expected answer to a question, usually based on some theory or prior research. hypothesis testing is a method of determining the viability of a hypothesis. let’s use the us presidential election as an example. there are many hypotheses (questions) about how people feel or whom they will vote for. the only way to know the 100% “truth” about the answers to these questions is to ask every single possible voter – something that is impossible, expensive, time consuming etc. instead, we take samples and use statistics to make “best guesses” about the answer to a particular hypothesis. we never know for sure if our conclusion is right at the time we accept/reject it, but these techniques, when used appropriately can get us close to the truth most of the time (which is a lot better than guessing, flipping coins or throwing darts to get answers).

the tricky part about hypothesis testing is that we have to think somewhat backwards about it – we have to test what is known as the “null hypothesis”. as an example, the hypothesis might be “obama is more popular than romney” while the null hypothesis is “there is no difference in popularity between obama and romney”. we focus on the null hypothesis because it tells us exactly what the expected value of our tests should be (obama popularity = romney popularity) and we can collect data and see if it comes out that way (see next section on “significance”). if it does, then we “accept the null hypothesis” and reject our original hypothesis. if the null hypothesis is disproven, we look at the data to see if our original hypothesis holds (obama> romney).