QNT275_p1_week5_Discussion_2023

One of the main goals of statistical hypothesis testing is to estimate the PP value, which is

the probability of obtaining the observed results, or something more extreme, if the null

hypothesis were true. If the observed results are unlikely under the null hypothesis, reject

the null hypothesis. Hypothesis testing is used to assess the plausibility of a hypothesis by

using sample data. The test provides evidence concerning the plausibility of the hypothesis,

given the data. Statistical analysts test a hypothesis by measuring and examining a random

sample of the population being analysed. The one-tailed test refers to a test of null

hypothesis, in which the alternative hypothesis is articulated directionally. Here, the critical

region lies only on one tail. However, if the alternative hypothesis is not exhibited

want to make any claims about the distribution of data or whether one set of results are

different from another set of results in applied machine learning.

My personal and professional life is never used for hypothesis testing, however I was able

to come up with an example. My husband and I are thinking about purchasing a new car in

the next few months. The main issue we have is finding a car that could fit our family of

five comfortably with three car seats. One could argue that a hypothesis testing could be

used to determine which vehicle has more room in it based on a few findings.

The "p" stands for probability but stands for different probabilities depending on what

probability we are referring to. In a statistical hypothesis, the 'P" can stand for the

probability of a type one error, or the significance of the test. In comparison, the "alpha"

level is the significance level at which you are conducting a test.

For example, sets say I use a 95% confidence level to conduct a z test. That means, that the

in statistics to be able to draw conclusions about the population by using a sample data.

Depending on the situation you might need a one or two tailed test. A two-tailed test

allows for the possibility that the test statistic is either very large or very small with the

negative being the small. A one-tailed test allows for only one of these possibilities .The

one-tailed test draws results in a one direction. While the two-tailed gives two possibility

results and that is positive and negative results. I think the easiest way to understand is

when relating to the medical field. A real life scenario of hypothesis testing is used in

clinical trials to determine the outcome of the new treatment or medication. Let’s say that

there is a company looking to prove that their medication reduces high blood pressure. To

do this they might measure the blood pressure of the patients before and after the trail to

compare results. They would then run a hypothesis test on differences in the null and

alternative hypothesis. Hypothesis testing can relate to my personal and professional life at

work. However, I most easily can relate this to a medication issue I had while I first

became pregnant. I was extremely sick starting at 4 weeks along and I found out early due

to this. By the time I hit the 7-week mark, I had lost several pounds due to not being able

prenatal vitamins due to the iron in them but after testing several with different formulas

and flavours, I was still very much sick. So, then they prescribed me a specific prenatal

along with a combination medicine specifically formulated for pregnant women and I was

to see how I would react to that. When given that medicine, within two days I was getting

sick much less and actually beginning to sleep with it as well. After much trial and error, I

found a medicine combination that allowed me to eat finally at about 11 weeks of

pregnancy and become much healthier for my son who is almost 11 months old now! I had

to evaluate the different vitamin levels in my body along with my diet and what my body

was willing to withstand to allow me a safe and healthy pregnancy . I decided to write

period. Doing so can be expensive depending on the campaign's size. Therefore, the

company may wish to test the campaign on a smaller scale to understand how it will

released to the public. There must have been several theories on how the vaccine will work,

how much each shot will need to have in it to be effective. As the testing continued with

several age groups it allowed scientist to determine the information needed to provide to

determine if the vaccine is effective or not. With so much being focused on vaccines these

days this is the first thing that came to mind that pretty much effects everyone's personal

life. Hypothesis testing is used to assess the plausibility of a hypothesis by using sample

data. The test provides evidence concerning the plausibility of the hypothesis, given the

data. Statistical analysts test a hypothesis by measuring and examining a random sample of

the population being analyzed. g Life is an educated guess, the only fair thing I can think of

in my personal life is taking a gambling with pharmaceutical companies, science, the stock

market, technology and general purchases. Why, because it is a constant challenge of

finding the answers to any values. Many took risks and guesses to get, what we know, now.

with service. Moving international freight is big business, and it took one person to start the

idea, which created jobs, and income.Getting back to research of vaccines in America.

observations. Evaluating two mutually exclusive statements on population data using

sample data. The two mutually exclusive statements are Null Hypothesis and Alternative

Hypothesis. The difference between a one-tailed and two-tailed test is that a one-tailed test

is used ascertain if there is any relationship between variables in a single direction for

example left or right. The two-tailed is used to identify whether or not there is any

relationship between variables in either direction. An example from my personal life using

hypothesis testing would be a doctor giving me a certain medication to see if it treats

against my cramps. Another example from my professional life would be my supervisor

changing the schedule up adding more people to the schedule to see if it helps speed up the

customer service and helping members in and out quicker. There are many ways hypothesis

testing can be used in both personal and professional life. The concept of hypothesis testing

is to allow the researcher to determine whether the data from the sample is statistically

improve my health versus eating meat meals. To prove this I will eat meat meals for 2

weeks and take a fasting blood test to get all the results of my cholesterol and glucose test.

Hypothesis testing is done to determine possible conclusions for two varying hypotheses.

This testing is used to assess the plausibility of a particular hypothesis by leveraging sample

data. Analyst’s test said hypothesis by assessing random samplings of the overall

evidence for making determinations related to the analyzed population; providing data to

support how reliable data can be mined from the findings of data collected. In simplest

terms, a one tailed test only has one end/outcome while a two-tailed test has two

ends/outcomes. Dependent on the data one wishes to collect should determine which

approach is taken when first beginning to gather insight(s).

results we determined that a medication adjustment might be in order but proceeded on the

same path for another 2 months. At the next round of labs, it was determined that the

generic medication was not an effective solution for me at that I would need to be

prescribed the name brand medication. This testing if you will be important as it lay the

groundwork that my doctor needed by which to create a prior authorization to get the name

brand medication approved for my therapy. Without this initial testing, my prior

authorization would not have been approved by insurance and I would have been

responsible for paying 100% of the medication cost which I would not have been able to

afford.

Hypothesis testing is an act to test an assumption regarding a population parameter.

Hypothesis testing is a method of statistical i French used to determine a possible

conclusion from two different and likely conflicting hypothesis. There are two types of

hypothesis testing, null and alternative. The purpose of this testing is to test whether bill

hypothesis (where there is no difference) can be rejected or approved. One tailed testing is

used to see if there is a relationship between variables in a single direction being left or

right. Two tailed testing is used to see if there is any relationship between the variables in

either direction.

Real life scenario:

A hospital reports that Covid patients are deserting at an average of 85 percent while they

do no have oxygen on. To test this hypothesis, we need to record thirty patients with Covid

without oxygen to see what they are sating at for their oxygen. We record those thirty

used would be, well what comes to my mind would be evaluating a pay raise in a work area

and what surrounds the business. If a company is trying to stay competitive with other

businesses in the similar type of field do surveys how those other companies are paying

their employees in order to try and keep their employees in business. What I can remember

hearing in a supply chain, when business are being build around and close by they try to

compare the pay rate and what is competitive in order for no disrubtions in rehiring new

employees. For my own personal experience I would have to say that I feel I can use a

hypothesis test for when I am trying to figure out the number of clients that will show up

for the children's crisis center evaluation weekly or for the number of therapist that will be

available in-person or over video conference weekly. This information helps me

tremendously because it allows me to prepare my weekly spreadsheets in advance for

attendance and reminder calls for each client. I can somewhat calculate how many clients