Q2. Answer the following two questions under the assumption of normal populations with equal vari- ances. (a) The following are the numbers of sales which a random sample of nine salesmen of industrial chemicals in California and a random sample of six salesmen of industrial chemicals in Oregon made over a fixed period of time: (California) x; : 40, 46, 61, 38, 55, 63, 36, 60, 51 (Oregon) y: : 33, 62, 44, 54, 23, 42 Using s 5% level of significance, test whether or not California salesmen are more efficient in general. Write down the null and alternative hypothesis first. (b) Suppose that we wish to investigate whether males and females earn comparable wages in a cer- tain industry. Sample data show that 14 randomly surveyed males earn on the average $213.5 per week with a standard deviation of $16.5, while 18 randomly surveyed females earn on the average $194.1 per week with a standard deviation of $18.0. Let µi denote the average wage of males and µ2 the average of females. Using a 5% level of significance, test the null hypothesis that 41 = µ2 against the alternative that µ1 > µ2.
Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.
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