Answer:
Nuclear family.
Explanation:
A nuclear family typically composes of a husband and wife (married parents) with kids (whether biological or adopted).
While nuclear families percentage has been on a decline through history, it is still the dominant form of family, making up ~18% of all households in more current US history. The downward shift can be attributed to the <em>shift of beliefs against the nuclear family</em>, in which new cultures such as hookup culture and the destruction of traditional masculinity and femininity traits have led to the failure of the man to stay to provide, and causing the single-parent family to spike drastically. The uptick in LGBTQ+ have further led to the deflation of nuclear family levels, and have seen a decline of birthrate by 2-4%.On top of decline in birthrates, families outside of the nuclear family typically see a large percentage of increase in crimes, with single-parent homes seeing a 10% increase for the child to commit crimes. When people think of non-nuclear families, they typically think of the LGBTQ+ movement, which sees a 5% incarceration rate, <em>2 points higher than the average population.</em>
Learn more about the Nuclear family, here:
brainly.com/question/2284676?referrer=searchResults - Difference between Nuclear and extended family.
brainly.com/question/15649757?referrer=searchResults - Difference between descent groups and nuclear families.
Answer:
In the 1857 Dred Scott decision, the U.S. Supreme Court ruled that African Americans were not citizens of the United States.
Explanation:
Sharks play an important role in the ecosystem by maintaining the species below them in the food chain and serving as an indicator for ocean health. They help remove the weak and the sick as well as keeping the balance with competitors helping to ensure species diversity.
Look both ways and turn on your signal
Answer:
B) The chance of committing a Type I error changes from 0.01 to 0.05., E) The test becomes less stringent to reject the null hypothesis (i.e., it becomes easier to reject the null hypothesis), therefore. C) It becomes harder to prove that the null hypothesis is true and G) The chance that the null hypothesis is true changes from 0.01 to 0.05 are all correct answers
Explanation:
The alfa error or type I, refers to the probability error of rejecting the null hypothesis, when it is true, it is the chance of mistake when affirming that an association exists between two variables tested as a cause of an effect on something. i.e: H1: fast food is responsible for diabetes (this is working hypothesis), H0: red hair is responsible for diabetes (this is the null hypothesis). The beta error or type II is related to the size of the sample, it is the chance of accepting something (the null hypothesis) when it is false, depends mostly on having enough measures (or persons under study) so your hypothesis can be proven and be a real representation of the population under study. The statistical significance, namely the p value, can be narrow (p=0.01) or wide (p=0.05), it can be easily understand if we explain it in terms of percentage: you can have 99% (p=0.01) of certainty to affirm that the null hypothesis (the one that you do not believe is true, in the example, red hair as cause of diabetes) is actually wrong or 95% (p=0.05) of certainty to affirm that the null hypothesis (again, the one that you do not believe is true) is actually wrong.
