Question Help v Response rates for customer complaints by Companies A and B are observed for 8 consecutive days and are given below. Although they have similar response rates on average, one claim is that they are not equally consistent in responding to customer complaints. Assuming that both populations are Normal, check this claim by testing the hypothesis that o, =0, against the alternative that o, o, at a = 0.05 significance level and by using the p-value approach 0.48 0.38 0 42 0.54 0.39 0 49 0.51 0.52 (A) 0.39 0.37 0.39 0.41 0.39 0.39 0.39 0.39 (B) (a) The f value for the test can be computed as (Round to two decimal places including any zeros.) (b) The p-value is the total tail probability corresponding to the calculated test value, which is then compared to a In a two-tailed test, this is 2P(F >f) or, in a right-tailed test, this is P(F>f). The p-value for the test can be calculated as (Round to four decimal places including any zeros ) (c) the null hypothesis because there is v evidence that o, 02
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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Response rates for customer complaints by Companies A and B are observed for 8 consecutive days and are given below. Although they have similar response rates on
average, one claim is that they are not equally consistent in responding to customer complaints. Assuming that both populations are Normal, check this claim by testing
the hypothesis that o, = o, against the alternative that o, to, at a= 0.05 significance level and by using the p-value approach
0.48 0.38 0.42 0.54 0.39 0.49 0.51 0.52
(A)
0.39 0.37 0.39 0.41 0.39 0.39 0.39 0.39
(B)
(a) The f value for the test can be computed as
(Round to two decimal places including any zeros.)
(b) The p-value is the total tail probability corresponding to the calculated test value, which is then compared to a In a two-tailed test, this is 2P(F> f) or, in a right-tailed
test, this is P(F>f).
The p-value for the test can be calculated as
(Round to four decimal places including any zeros.)
(c)
the null hypothesis because there is
evidence that o, 0,
is
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