The correct answer is Try to hand him a large object that will make his arms open towards her in the same motion as a bear hug
From the place of the cognitive perspective, the understanding of mathematical ideas is not apprehended only through the concepts of pure mathematics, it would be easier to look in the precursor authors for what motivated them to think and develop their theories, what they should have in mind, when they discovered / created their theories / mathematical bases and, how they understood that mathematical knowledge for them. It is important to note that such aspects are never taken into account when teaching / learning some mathematical theory.
united states.
Answer: Missouri Compromise
Enacted in 1820 to maintain the balance of power in Congress, the Missouri Compromise admitted Missouri as a slave state and Maine as a free state.
Explanation: I searched it
Richard M. Nixon
Dwight D. Eisenhower
John F. Kennedy
John F. Kennedy
The 35th president of the United States was John F. Kennedy was the most youthful president ever chosen. He was born in Brookline and was a descendant of Massachusetts. But reasonably what most established him exclusively when he was selected was that he was Irish. And even more incredible and he was Catholic. His family was raised on its teaching. His campaign for an administrator was almost overwhelmed by it. Moreover, his religious beliefs posed some questions for voters during the 1960 election.
Answer:
Social Stratification
Explanation:
Answer:
Social stratification
Explanation:
This question is incomplete, here´s the complete question.
Wei-Chin designed a self-report inventory to measure how intimate partners express affection and hostility toward each other. The inventory is a list of positive behaviors (e.g., back rubs, holding hands) and negative behaviors (e.g., slamming doors, raising voices). After having a wide range of couples complete the inventory, Wei-Chin finds that happy couples endorse all the affection items and unhappy couples endorse all the hostile items. Which of the following problems prevents him from concluding that happy couples exchange more affectionate behaviors than unhappy couples?
1. sentiment override
2. item-overlap problem
3. correlation does not imply causation
4. social desirability effect
Answer: 3. Correlation does not imply causation.
Explanation:
Correlation is a statistical technique that evaluates how much two variables are linearly related, meaning they change together. However, two variables being correlated does not necessarily mean that one causes the other. Causation states that any change in a variable will cause a change in another variable.
The fact that happy couples endorsed all the positive behaviors, and unhappy couples the negative ones, shows that there´s a correlation, but it doesn't necessarily mean that unhappiness causes couples to exchange more negative behaviors, or vice-versa.
Answer: Trade affects all of the social classes of Egypt because so many different kinds of resources were traded. For example, peasants needed cheap food to survive on, while Artisans used ebony, linen, iron, and copper for their crafts. Scribes traded for better food, such as meat, beer, and fish.
Explanation:
Trade was dangerous in Egypt due to political instability, banditry and robbery on trading routes, and external threats such as plagues which impacted commerce and led to socio-economic disruptions.
Trade in Egypt was perilous for several reasons, throughout different epochs. During the end of the New Kingdom era, Egypt's command over the trade routes in Canaan and Syria dwindled, making trade more treacherous due to increasing instability in commercial centers and banditry on the roads. For example, an Egyptian envoy on a trade mission to Phoenicia was reportedly robbed by his own crew, denied promised supplies, and attacked by migrants. As Egypt's regional influence weakened, such predicaments became more frequent.
In the Mamluk era, trade routes through the Nile delta suffered due to intense political instability. This was in part triggered by the plague, whose effects were worsened by accompanying food shortages. Populations migrating to cities like Cairo and Alexandria for employment, thereby, increased their chances of contracting the plague.
Moreover, banditry and robbery were persistent threats due to the lucrative potential of traded goods. Inadequate security for traders resulted in trade routes veering away from risky territories. This was especially profound in weakly governed states, where caravansaries (inns for traders) were not sufficiently secured, creating additional hindrances to the smooth functioning of trade.
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The hypothesis test that is best suited to determine the proportion of smokers in Idaho is One Proportion Test.
One Proportion Test is a hypothesis test that is used to estimate a proportion and facilitate comparison with another proportion.
One Proportion Test works by comparing the proportion to the target/reference value.
Here, the One Proportion Test will help to compare the Idaho current samples to statistics of smoker collected in 2014.
Therefore, the Option E is correct because it is best suited to determine the proportion of smokers in Idaho is One Proportion Test.
The missing options includes "One mean, Mean of the differences, Difference of two means (independent samples), Several means (ANOVA), One proportion, Difference of two proportions, Chi-Square test of independence"
Read more about this here
Answer:
The Hypothesis test to use is the Test for Proportions.
Explanation:
There are quite a number of test to select form when analysing a statistical data. Selecting the right one can be quite tricky. When deciding which test you ought to use, there are three questions you need to answer:
Data
The type of data we are presented with is captured in in percentages. This is an example Nominal data. Nominal summary values are usually stated as frequencies, proportions or percentages.
The tests that involve nominal data are:
From the criteria above, it's clear we are dealing with Difference of Two Proportions.
Samples
This criteria begs the question: How many samples are involved?
From the criteria above, it's clear we have One Sample with two different considerations - Smoker or Non-smoker.
Purpose
You are right! From the example above, we are comparing two statistics.
Therefore putting all the criteria together, we ought to use Test for Proportions is best suited for this situation.
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