What did reagan believe the government should do to improve the economy

President Reagan believed that the government should become smaller and more efficient in order to improve the economy.

Explanation:

When Reagan became the President of the United States in 1981, the country was submerged into the biggest recession since the Big Depression. To improve the economy, the president believed that the government should become smaller and more efficient. He tried to follow with his ideal by cutting the government's spending on domestic programs by $39 billion, but ultimately failed to do so in a general spectrum as he increased the national spending on the army due to the international context of the Cold War.

D on edge.

Explanation:

he resisted soviet oppression by soviet

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).