OBJECTIVE OF STUDY• To study the level of awareness and understanding of all risk industrial policy among industrial units in Noida and Ghaziabad Industrial Belt.• Satisfies their requirements and meets a policy package.• Provide suggestions and recommendations to address the situation for the future. SCOPE OF THE STUDY• It is conducted on factories and industries only.• This study helps in understanding the awareness of the policy.• Industrial units benefiting/using the all-risk industrial policy.RESEARCH METHODOLOGYResearch Methodology Research DesignDescriptive research is the method of research used because descriptive studies encompass a large percentage of market research. The aim is to provide an accurate picture of some aspects of the market context. Descriptive research is also known as statistical research. The main goal of this type of research is to describe the data and characteristics of what is being studied. The basic idea behind this type of research is to help study frequencies, other statistical calculations. This research is extremely accurate; it does not collect the causes of a situation. Descriptive research is basically done when a researcher wants to gain a better understanding of a topic. Sample designation. Sampling Method: Convenience sampling basically refers to data extracted at the discretion of the researcher.b. Target Population: Ghaziabad and Noida industries.c. Sample frame:d. Sampling unit: Industriese. Sample Size: 15 Data Collection Method: Survey method is used to collect data from various customers. It is done with the help of questionnaires. Data collection tool: Questionnaires Data analysis tools: MS excel.DATA ANALYSIS1. Do you know the insurance policy against all industrial risks? Answer options yes 6 no 8 This question was formulated to test the knowledge of the insurance policy against all industrial risks among industrialists. It is observed that most of the industrialists are not aware of the insurance policy against all industrial risks. HYPOTHESIS 1: Testing the hypothesis using the Chi-square test Chi-square written symbolically as ( ), is a statistical measure used in the context of sample analysis for comparing a variance to a theoretical variance. It is a non-parametric test. It is used to make comparisons between theoretical population and actual data. It is applied in statistics to evaluate the goodness of fit.Ho- There is no difference between awareness of all-hazard industrial policy.H1 – There is difference between awareness of all-risk industrial policy.The general formula for Chi-square test is : Where O= the observed frequenciesE= the expected frequenciesDegrees of freedom= n-1options OBSERVED(O) EXPECTED(E) 0-E (0-E)2 (OE)2/E