Computer engineering...

Methods of probability were developed initially for the analysis of gambling games. Probability plays a key role in statistical inference; it is used to provide measures of the quality and precision of the inferences. Many of the methods of statistical inference are described in this article. Some of these methods are used primarily for single-variable studies, while others, such as regression and correlation analysis, are used to make inferences about relationships among two or more variables. Descriptive statistics Descriptive statistics are tabular, graphical, and numerical summaries of data. The purpose of descriptive statistics is to facilitate the presentation and interpretation of data. Most of statistical presentations appearing masman rs and ma are 5. Light triggering First a new recess niche is made in the inner p-layer. When this recess is irradiated, then freecharge carriers (electron and hole) are generated. Now if the intensity is increased above acertain value then it leads to turn ON of SCR. Such SCR are known as Light activated SCR(LASCR). Latching current The latching current may be defined as the minimum value of anode current which at mustattain during turn ON process to maintain conduction even if gate signal is removed. Holding current It is the minimum value of anode current below which if it falls, the SCR will turn OFF. collected, analyzed, and summarized for presentation and interpretation. Data may be classified as either quantitative or qualitative. Quantitative data measure either how much or how many of something, and qualitative data provide labels, or names, for categories of like items. For example, suppose that a particular study is interested in characteristics such as age, gender, marital status, and annual income for a sample of 100 individuals. These characteristics would be called the variables of the study, and data values for each of the variables would be associated with each individual. Thus, the data values of 28, male, single, and $30,000 would be recorded for a 28-year- old single male with an annual income of $30,000. With 100 individuals and 4 variables, the data set would have 100 x 4 = 400 items. In this example, age and annual income are quantitative 23.5 LAB: Random values In main.py define the RandomNumbers class, which has three integer attributes: var1, var2, and var3. Write getter method for each attribute: get_var10.get_var20) and get_var30). Then write the following 2 instance methods: set_random_values() - accepts a low and high integer values as parameters, and sets var1, var2, and var3 to random numbers within the range of the low and high input values (inclusive). get_random_values() - prints out the 3 random numbers in the format: "Random values: var1 var2 var3" Ex: If the input is: 15 20 the output may be: Random values: 17 15 19 where 17, 15, 19 can be any random numbers within 15 and 20 (inclusive)