Answer:
Cuba and the United States have a close history that is characterized by conflict.
Explanation:
Cuba is a former colony of the Spanish Crown and it first gained its independence after the Spanish American war in 1898. In the years following the war, Cuba was subject to US military rule, but it gained formal independence in 1902. This however made it so the Cuban economy became dominated by American capital. The number of sugar estates owned by Americans soared so that by 1905 Americans owned nearly 10% of Cuba's total land area. At independence, American companies controlled what little industry there was in Cuba taking 80% of Cuba's ore exports. Americans also owned the sugar refineries and factories where they made cigarettes. This control and close involvement and investment in the Cuban economy grew up until the Cuban Revolution in 1959.
Safety and Understandment in my opinion. One needs to know how to drive the type of car and knowing the protocols of driving a vehicle.
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.
Explanation:
Basic education aims to develop physical, socio-emotional, cognitive, spiritual, and moral potential for all 4-12-year-old children by ensuring school readiness and universal access to quality basic education, and to promote life skills and value-based education.
Answer:
olivia rodrigo,amber marshall,Lori Loclin
Explanation:
all these helped me realize important things either through a song or there real no acting personality
