344432240 An Assignment on Hypothesis Testing PDF

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Running head: Hypothesis Testing

An assignment on Hypothesis Testing Nabeena Khatri LC00016000035 Third semester Nepal Business College Biratnagar-15, Nepal

Author Note This assignment was prepared for Quantitative method, BBA-2523 department of Quantitative method taught by Mr. Ram Babu Kafle

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Running head: Hypothesis Testing Abstract Testing of hypothesis is an important aspect of theory of decision making. One of the most important considerations when beginning your research work and formulating the research problem is constructing the hypothesis. Generally, hypothesis provides clarity so that you can focus on a research problem. However, this is not essential for a study or research work. A researcher can conduct a valid investigation without constructing a hypothesis. However, it is always good to construct a hypothesis as it will help to narrow down your focus of research. The significance of a hypothesis lies in its ability to bring direction and specificity to your research work.

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Running head: Hypothesis Testing

Acknowledgement This assignment is a wonderful experience for me because it gives us knowledge of different conceptual and practicable curriculum of our study. There is very vast in saying and doing. Every study has curiosity about their conceptual studies. I would like to express my special thanks to my subject teacher Mr. Ramesh Babu Kafley who gave me such a golden opportunity to do this wonderful assignment on the topic of Measure of location which also helps me in doing lots of research and I come to know about so many things. I am really thanks to them from my inner heart that helps in this assignment. I’m making this assignment not only for the marks but also for increasing my knowledge. I also apologies for weakness, spelling, grammatical error or any kind of mistake in this assignment

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Running head: Hypothesis Testing Introduction What is 'Hypothesis Testing' Hypothesis testing is an act in statistics whereby an analyst tests an assumption regarding a population parameter. The methodology employed by the analyst depends on the nature of the data used and the reason for the analysis. Hypothesis testing is used to infer the result of a hypothesis performed on sample data from a larger population. For e.g. Students who receive counseling will show a greater increase in creativity than students not receiving counseling

BREAKING DOWN 'Hypothesis Testing' In hypothesis testing, an analyst tests a statistical sample, with the goal of accepting or rejecting a null hypothesis. The test tells the analyst whether or not his primary hypothesis is true. If it isn't true, the analyst formulates a new hypothesis to be tested, repeating the process until data reveals a true hypothesis.. Characterticts of Hypothesis  Clear and precise.  Capable of being tested.  Stated relationship between variables.  Limited in scope and must be specific.  Stated as far as possible in most simple terms so that the same is easily understand by all concerned. But one must remember that simplicity of hypothesis has nothing to do with its significance.  Consistent with most known facts.  Responsive to testing within a reasonable time. One can’t spend a life time collecting data to test it.  Explain what it claims to explain; it should have empirical reference.

Types of Hypothesis I. II.

Null hypothesis Alternative hypothesis 4|Page

Running head: Hypothesis Testing

Null hypothesis What is a 'Null Hypothesis' A null hypothesis is a type of hypothesis used in statistics that proposes that no statistical significance exists in a set of given observations. The null hypothesis attempts to show that no variation exists between variables or that a single variable is no different than its mean. It is presumed to be true until statistical evidence nullifies it for an alternative hypothesis.

BREAKING DOWN 'Null Hypothesis' The null hypothesis, also known as the conjecture, assumes that any kind of difference or significance you see in a set of data is due to chance. The opposite of the null hypothesis is known as the alternative hypothesis. Hypothesis is denoted by � 0.If a population mean is equal to hypothesized mean then Null Hypothesis can be written as H0: � = �0 Alternative hypothesis The alternative hypothesis is the hypothesis used in hypothesis testing that is contrary to the null hypothesis. It is usually taken to be that the observations are the result of a real effect (with some amount of chance variation superposed). The Alternative hypothesis is negation of null hypothesis and is denoted by � �. If Null is given as �0:�=�0 Then alternative Hypothesis can be written as �0:�=�0 ��:�≠�0 ��:�>�0 ��:�...