Isaisip Ibigay ang inyong sagot sa sumusunod na mga tanong. Isulat ang mga sagot sa sagutang papel. 1. Paano nakatulong ang relihiyon o paniniwala sa paghubog ng iyong pagkatao? 2. Bakit nagiging instrumento ang heograpiyang pantao sa pagkakaisa ng mga tao sa daigdig? 3. Sa iyong pananaw, nakakatulong ba ang wika sa pagkakaisa at kaunlaran? Ipaliwanag ang iyong sagot. ཉོན་ BOLESNTRAL OFFICE

1.nakatutulong Ang relihiyon o paniniwala sa pag hubog ng pagkatao ng isang tao.

Explanation:

dahil dito nakabatay Kung ano Ang kanilang dapat paniwalaan,kaugalian at tradisyon na mag gagabay sa isang tao.

Explanation:

1.nakatutulong Ang relihiyon o paniniwala sa pag hubog ng pagkatao ng isang tao.

dahil dito nakabatay Kung ano Ang kanilang dapat paniwalaan,kaugalian at tradisyon na mag gagabay sa isang tao.

the map that was shown mostly had eastern asia highlighted. the answer would mostly likely be "the spread of communism into eastern asia set the stage for the korean war."

hopefully this .

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).