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Drinking water has become an important concern among people. The quality of drinking water


must be monitored as often as possible during the day for possible contamination. Another variable of


concern is the pH level, which measures the alkalinity or the acidity of the water. A pH below 7.0 is


acidic while a pH above 7.0 is alkaline. A pH of 7.0 is neutral. A water-treatment plant has a target pH


of 8.0. Based on 16 random water samples, the mean and the standard deviation were found to be: X¯= 7.6 s = 0.4



Does the sample mean provide enough evidence that it differs significantly from the target


mean? In other words, does the sample come from a population whose mean is the same as the


target pH of ? Use , two-tailed test.

1. A researcher used a developed problem solving test to randomly select 50 Grade 6 pupils. In


this sample, and . The mean and the standard deviation of the population used in


the standardization of the test were 75 and 15, respectively. Use the 95% confidence level.



2. The decision is ________ the null hypothesis because there is ____________ evidence to


_________ it. This implies that there is _____________________ between the means. According to


the test, we can say that the sample belongs to a population that is _________ average, which is 75.

1.    Assuming that the samples come from normal distributions, find the margin of error  given the following:

a. n = 10 and X = 28 with s = 4.0, 90% confidence

b. n = 16 and X = 50 with s = 4.2, 95% confidence

c. n = 20 and X = 68.2 with s = 2.5, 90% confidence

d. n = 23 and X = 80.6 with s = 3.2, 95% confidence

e. n = 25 and X = 92.8 with s = 2.6, 99% confidence

 

2.    Using the information in number 2, find the interval estimates of the population mean.


A researcher used a developed problem solving test to randomly select 50 Grade 6 pupils. In


this sample, and . The mean and the standard deviation of the population used in


the standardization of the test were 75 and 15, respectively. Use the 95% confidence level

Consider the scores in Math and in Science. Construct the scatterplot of the bivariate data then describe the trend and strength of correlation.







Score in Math






3






9






10






12






7







Score in Science






5






8






10






9






8







A manufacturer of a flu vaccine is concerned about the quality of its flu serum. Batches of serum are processed by three different departments having rejection rates of 0.20, 0.08, and 0.21, respectively. The inspections by the three departments are sequential and independent.

(a) What is the probability that a batch of serum survives the first departmental inspection but is rejected by the second department?

(b) What is the probability that a batch of serum is rejected by the third department?



A manufacturer of a flu vaccine is concerned about the quality of its flu serum. Batches of serum are processed by three different departments having rejection rates of 0.20, 0.08, and 0.12, respectively. The inspections by the three departments are sequential and independent.

(a) What is the probability that a batch of serum survives the first two departmental inspection but is rejected by the third department?

(b) What is the probability that a batch of serum is rejected by the first department?



A manufacturing firm employs three analytical plans for the design and development of a particular product. For cost reasons, all three are used at varying times. In fact, plans 1, 2, and 3 are used for 40%,, 15%, and 45% of the products respectively. The "defect rate:" is different for the three procedures as follows:





P(D\P1)=0.01, P{D\P2) = 0.03. P(D|P3 ) = 0.02,





where P(D\Pi) is the probability of a, defective product, given plan i. If a random product was observed and found to be defective, which plan was most likely used and thus responsible?

Suppose a car rental firm wants to estimate the average number of kilometers traveled per day by each of its cars rented in a certain city. A random sample of 20 cars rented in that city reveals that the sample mean travel distance per day is 85.5 kilometers, with a population standard deviation of 19.3 kilometers. Compute a 99% confidence interval to estimate Q. (2 points) Interpret your answer. (1 point)​


If F(x) 1/39(3x-2)2;0<_x_<3


O: elsewhere


1. Verify that F(x) is a PDF


2. find E(x) and Var(x)


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