The manager of a restaurant in a large city claims that waiters working in all restaurants in his city earn an average of $150 or more in tips per week. A random sample of 25 waiters selected from restaurants of this city yielded a mean of $139 in tips per week with a standard deviation of $28. Using a 1% significance level, can you conclude that the manageros claim is true? State the appropriate hypotheses. O Ho: 2150 H: H< 150 O Ho: 150 H:> 150 O Hg: = 150 H: = 150 O Họ: H =150 H: u < 150 Calculate the test statistic and determine the p-value. (Round your answers to two decimal places) Test statistics = p-value = What is your conclusion? O Reject the null hypothesis. There is not sufficient evidence to conclude that the the managers claim is true. O Do not reject the null hypothesis. There is sufficient evidence to conclude that the conclude that the managers claim is true O Reject the null hypothesis. There is sufficient evidence to conclude that the conclude that the managers claim is true O Do not reject the null hypothesis. There is not sufficient evidence to conclude that the conclude that the managers claim is true
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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