Answer:
It is not always necessary to lie.
Explanation:
Lying is not "always" a necessity. Most times, people tell lies to get away from a situation: to deny allegations, to escape punishment or even to escape from shame of the moments. people that lie, if properly investigated, have something they are hiding or they usually have a bad situation (although not always) they want to get away from. This is why people lie. More so, some people also lie to cover their excesses or to gain advantage over a situation. This is the reason why when a person lies, he or she has broken the trust put in him or her by friends, family, colleagues and even bosses. So can we now say that, it is justifiable to break the heart of our loved ones because lie is a necessity? No! When a person is caught lying, trust goes out the window in most cases, and it has to be rebuilt again, all in the name of lie necessary.
From the situations stated above, it can therefore be concluded that, lying is not necessary if people are willing to face the consequence of their actions or if they can stand the shame of their actions also.
It depends on if you think it matters. Prestige helps because prestigious schools tend to be very good. It also looks really good on your resume. However, some schools aren't very prestigious and are very good. Like I said, it really depends on if you care about it or not.
The answer is true here is the definition of manorialism the medieval system by which land was rented to tenants by the lord of a manor, who also exercised legal authority and presided over a court for the area.<span> </span>
In a two-way ANOVA, the researcher makes decisions regarding <u>three separate</u> when the omnibus test is significant.
A two-way ANOVA is used to estimate how the mean of quantitative variable changes in keeping with the levels of categorical variables. Use a two-way ANOVA while you need to know how two independent variables, in aggregate, affect a dependent variable.
The only-way ANOVA has considered an omnibus check due to the fact the F check indicates whether or not the version is great average—i.e., whether or now not there are any enormous differences within the means between any of the agencies.
A two-way ANOVA with replication assessments 3 null hypotheses: that the method of observations grouped by using one factor are the identical; that the method of observations grouped by way of the other issue are the identical; and that there's no interplay between the 2 elements.
Learn more about two-way ANOVA here: brainly.com/question/23638404
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