6. In a representative sample of 817 coffee growers from Country X, 450 growers were certified to sell organic coffee markets while 62 growers were transitioning to become organic certified. In Country Y, 66% of coffee growers are organic certified. Is there evidence to indicate that fewer than 66% of the coffee growers in Country X are either organic certified or transitioning to become organic certified? State your conclusion so that there is only a 5% chance of making a Type I error (i.e., test using a = 0.05). (a) What are the hypotheses for this test? Ho: H: (b) Calculate the value of the test statistic ze (round to two decimal places as needed): Hint: Before finding , you will first need to calculate the sample proportion p. Pay close attention to what is being tested. EITHER "certified" OR "transitioning" counts as a success for your proportion here. (c) Calculate the p-value (round to three decimal places as needed). You should find one of the following useful for part C: P(: < 0.66) 0.7454 P(: < -0.033) 0.4868 P(: < -2.01) 0.0222 P(: < -6.59) 0 (d) What is the conclusion of the test? REJECT or FAIL TO REJECT the null hypothesis because the p-value is LESS THAN or GREATER THAN the probability of making a Type I error. Therefore, there is SUFFICIENT or INSUFFICIENT evidence to indicate that fewer than 66% of the coffee growers in Country X are either organic certified or transitioning to become organic certified. (Circle the correct capitalized word or phrase in each of the three places a choice is given.) (e) If this were a two-tail test, with everything else the same, would your conclusion be different? Explain.
Compound Probability
Compound probability can be defined as the probability of the two events which are independent. It can be defined as the multiplication of the probability of two events that are not dependent.
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Probability theory is a branch of mathematics that deals with the subject of probability. Although there are many different concepts of probability, probability theory expresses the definition mathematically through a series of axioms. Usually, these axioms express probability in terms of a probability space, which assigns a measure with values ranging from 0 to 1 to a set of outcomes known as the sample space. An event is a subset of these outcomes that is described.
Conditional Probability
By definition, the term probability is expressed as a part of mathematics where the chance of an event that may either occur or not is evaluated and expressed in numerical terms. The range of the value within which probability can be expressed is between 0 and 1. The higher the chance of an event occurring, the closer is its value to be 1. If the probability of an event is 1, it means that the event will happen under all considered circumstances. Similarly, if the probability is exactly 0, then no matter the situation, the event will never occur.
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