Discussion Question Week Four



Discussion Question Week Four

Answer 1

Steps of Hypothesis Testing

The five steps of hypothesis testing are as follows:

Step 1: Formulate the null and alternative hypothesis.

Step 2: Specify the accurate level of significance which is a.

Step 3: Calculate the appropriate test statistics.

Step 4: Define the region of rejection on the basis of test results.

Step 5: Choose the accurate hypothesis.

These steps need to follow in a stepwise process that effectual for making clear consideration regarding the hypothesis. The hypothesis testing requires strong and systematic approach that helps to evaluate the main consequences of hypothesis (Lind, et. al, 2006). The five steps procedure for hypothesis testing differs when comparing two groups using at- or z-test on the basis of sample size.

If sample size is greater than 30, we use z-test.

If sample size is less than 30 or up to 30, we use t-test.

The process is similar, but formulas are different which we use in test statistics.

Answer 2

The 5% level of significance is highly reliable as compare to 1% or 10%. The control or experimental group is sufficiently huge that cannot properly explain by using other significance level. The probability of 0.05 or 5% is providing reliable pace for determining the results. In performing any experiment or observational study, the probability of observed individual's events falls below the 5% level of significance. This is effectual for arguing statistically significant effect. The effects in type II error depicts about failure to reject false null hypothesis. It portrays a false negative of hypothesis.

Answer 3

There are certain conditions at which we analyze data by using t-test and z-test which are as follows:

T-Test

The value of n must be less than 30 or equal to 30.

Data samples values must be independent with each other.

All values must have uniform probability in terms of selecting from population.

Z-Test

The value of n is greater than 30.

Data values must be independent with each other.

All individuals samples must be chose from population by random sampling approach.

These are significant differences at which we oppose t-test or z-test according to the nature of population.

We cannot use t-table when we determine the critical value of z. For this we use normal standard table that depicts z values.

The difference between one and two tail is very apparent.

One tail falls either positive or negative region such as n <30 or n>30.

Two tails falls both region n?30, which is unequal.

Answer 4

Terms that related to hypothesis testing are defined as hypothesis testing steps(Salkind, 2012). These significant steps are very significant that help to understand the basics of hypothesis and due to which we complete our hypothesis results.

Null Hypothesis

Alternative Hypothesis

Test Statistics

Critical value

p-value

These are all terms that can define as elementary steps of hypothesis.

The null and alternative hypotheses have to mutually exclusive due to names (Vogt & Johnson, 2011). Although, the alternative hypothesis is basically a replacement of null hypothesis that use, if null hypothesis is not true.

Answer 5

The five steps of hypothesis testing are as follows:

Formulate the null and alternative hypothesis.

Specify the accurate level of significance which is ...