PRACTICE TEST #2

• Hypothesis- is simply a statement that something is true. It is a tentative explanation, a claim, or an assertion about people, objects or events.
• Statistical Hypothesis- is any assumption or assertion made on the distribution of a population, which is either true or false.
• Hypothesis testing- is a statistical procedure in determining which hypothesis is more acceptable as true or which hypothesis is more likely to be false.
• Null Hypothesis (Ho) - This expresses the idea of no existence of relationship or difference be
• Alternative Hypothesis (Ha)- This is the opposite of the null hypothesis.
• Type I error- Rejecting the null hypothesis when in fact the null hypothesis is true.
• Type II error - Failure in rejecting the null hypothesis when in fact the null hypothesis is false.
• Confidence Level (CL) - It is also called confidence coefficient. It is the level at which we are willing to accept our conclusion.
• Critical Value (CV) - A value used to determine whether the result obtained from a sample is significant enough to reject the null hypothesis.
• Level of Significance (α) - The probability that we will make an incorrect decision by rejecting the null hypothesis when it is actually true.
• one-tailed test- is used when the alternative hypothesis is directional which means that the value of the measures is either greater than (>) or less than (<) the other measure.
• two-tailed test- is used when the alternative hypothesis is non-directional, meaning that there is no indication as to what type of difference exists between two variables.
• Left-tailed Test- When the population mean is does not exceed than the specified value of mean population, then it is _______ test for which the alternative hypothesis test can be expressed as μ<μ_0.
• Right-Tailed Test- When the population mean is more than the specified value of mean population, then it is right tailed test for which the alternative hypothesis test can be expressed as μ>μ_0.
• Two Tail Test- When the population mean is neither above nor below the specified value of mean population, then it is two tail test for which the alternative hypothesis test can be expressed as μ≠μ_0.
• POPULATION PROPORTION- A part of population with a particular attribute.
• SAMPLE SIZE OF ESTIMATING P-

  If p(hat) is used an estimate of p, we can be at least (1-a) 100% that the error will not exceed a specified amount e (margin of error