Answer:
reliable or credible i think?
Explanation:
Answer:
john (n) + ate (v) + the (det) + cake (n).
Explanation:
which often presents itself as a form of reflection. The elements within narrative nonfiction are similar to those found within novels, including: well-developed characters, engaging dialogue, a story that follows a narrative arc, an identifiable theme, and the use of literary devices such as symbolism and imagery.Writers of narrative nonfiction blend elements of narration such as plot, pacing, and point of view with various forms of nonfiction, such as the personal essay or memoir.
Narrative nonfiction seeks to be entertaining as well as informative, while at the same time being meticulously researched and accurate. Many examples of creative nonfiction are written from a first-person perspective, especially the diary or memoir, which are autobiographical in nature.hope this helps D:
It’s gotta be B, the other answers make sense while that one doesn’t at all...
It would be too obvious for me to write the entire letter for you, but I'll include a list of points that you could include in your own writing style:
* Thanking Lee for his letter, and saying that you are happy that he is having a good time.
* Telling him roughly what you're studying at school (without being boring).
* Write about what you would like to do when you leave school.
* Finally, say that you miss him a lot and look forward to hearing from him soon.
"Critical region" redirects here. For the computer science notion of a "critical section", sometimes called a "critical region", see critical section.
A statistical hypothesis is a hypothesis that is testable on the basis of observing a process that is modeled via a set of random variables.[1] A statistical hypothesis test is a method of statistical inference. Commonly, two statistical data sets are compared, or a data set obtained by sampling is compared against a synthetic data set from an idealized model. A hypothesis is proposed for the statistical relationship between the two data sets, and this is compared as an alternative to an idealized null hypothesis that proposes no relationship between two data sets. The comparison is deemed statistically significant if the relationship between the data sets would be an unlikely realization of the null hypothesis according to a threshold probability—the significance level. Hypothesis tests are used in determining what outcomes of a study would lead to a rejection of the null hypothesis for a pre-specified level of significance. The process of distinguishing between the null hypothesis and the alternative hypothesis is aided by identifying two conceptual types of errors (type 1 & type 2), and by specifying parametric limits on e.g. how much type 1 error will be permitted.
An alternative framework for statistical hypothesis testing is to specify a set of statistical models, one for each candidate hypothesis, and then use model selection techniques to choose the most appropriate model.[2] The most common selection techniques are based on either Akaike information criterion or Bayes factor.
Statistical hypothesis testing is sometimes called confirmatory data analysis. It can be contrasted with exploratory data analysis, which may not have pre-specified hypotheses.
