It is with great sadness that we announce the death of Lorida Schlesinger (Jennings, Louisiana), who passed away on August 21, 2020, at the age of 86, leaving to mourn family and friends. Family and friends are welcome to send flowers or leave their condolences on this memorial page and share them with the family. She was predeceased by : her parents, Felix Istre and Pauline LaBouve Istre; her husbands, Allen Corea "AC" LaFosse and Albert Schlesinger; her daughter Gwen Oliver; and her siblings, Lindsey Eldie Camel, Ethel Benoit, Wilma Jean Fontenot and Carlton Istre.

She is survived by : her children, Jennifer Broussard of Jennings, Denice Sonnier (Tony) of Jennings and Ricky LaFosse (Carmen) of Lake Arthur; and her grandchildren, Connie LeDoux, Shandell Milliman, Damesha Humphrey, Brittany Boutwell, Alanna McRee, Cory LaFosse and Amber LaFosse. She is also survived by eight great grandchildren.

as the person below or above me i agree   the tone of voice of the itnerview can very well influecne he or she to pick one more over that   the infleuncer would pick

a hypothesis is an expected answer to a question, usually based on some theory or prior research. hypothesis testing is a method of determining the viability of a hypothesis. let’s use the us presidential election as an example. there are many hypotheses (questions) about how people feel or whom they will vote for. the only way to know the 100% “truth” about the answers to these questions is to ask every single possible voter – something that is impossible, expensive, time consuming etc. instead, we take samples and use statistics to make “best guesses” about the answer to a particular hypothesis. we never know for sure if our conclusion is right at the time we accept/reject it, but these techniques, when used appropriately can get us close to the truth most of the time (which is a lot better than guessing, flipping coins or throwing darts to get answers).

the tricky part about hypothesis testing is that we have to think somewhat backwards about it – we have to test what is known as the “null hypothesis”. as an example, the hypothesis might be “obama is more popular than romney” while the null hypothesis is “there is no difference in popularity between obama and romney”. we focus on the null hypothesis because it tells us exactly what the expected value of our tests should be (obama popularity = romney popularity) and we can collect data and see if it comes out that way (see next section on “significance”). if it does, then we “accept the null hypothesis” and reject our original hypothesis. if the null hypothesis is disproven, we look at the data to see if our original hypothesis holds (obama> romney).