Answer:
She said that they were here. (Indirect speech)
Hope it helps u!
Connecting situations or staments in the text to something else or making a note of something so you can remember it for a later answer for a question.
To answer this question, here is a guide on how to write the essay:
- Make an adequate research on human connections i.e on family, peers, friends, etc.
- Outline your points on how one can find strength through those connections.
- Support your points with practical examples.
- Where necessary quote authors and books to solidify your argument.
<h3>What is an essay?</h3>
An essay is known to be a piece of writing that contains certain information which is usually written from the author's point of view. An essay can be written to describe, inform, argue on a position, narrate or expose.
We can see the guide above that can help one to write an essay on finding strength through human connections.
Learn more about essay on brainly.com/question/2442194
Answer:
The past simple is formed by using past tense of the to be verb and a gerund.
Explanation:
The following examples completed in the past continuous tense would be as follows:
- Alice hurt herself while she was riding her bicycle along Park St.
- I met my neighbor while I was walking home from work.
- Sally saw a friend while she was studying in the library.
- Peter fell asleep while he skating.
- Bob stepped on Jane's feel while they were dancing.
- I cut myself while I was shaving.
- Mr. and Mrs. Brown burned themselves while they were baking cookies.
- Tommy had a nightmare while he was sleeping at a friend's house.
B. Alice hurt herself while she was playing soccer.
"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.
