1-b. The Virginia Department of Environmental Quality (VDEQ) uses probabilistic moni- toring to regulate the water quality of streams in the Commonwealth of Virginia. Of the 120 Eastern Virginia Sites (group 1), 17 do not meet minimum requirements. Of the 80 units sam- pled in Western Virginia Sites (group 2), 24 do not meet minimum requirements. Assume the data can be treated as independent simple random samples. (3). The hypotheses to test that the proportions of streams that fail to meet minimum require- ments in the two areas are equal or not is a. Ho : P1 = P2 versus H. : P1 < P2- b. Ho : p1 = P2 versus Ha : p1 > p2- c. Ho : P1 = P2 versus Ha : p1 # P2- d. Ho : P1 = P2 versus H. : î1 # ê2- (4). The value of the z statistic for testing equality of the proportions of streams that fail to meet minimum requirements in the two areas are equal or not is a. z= -2,62 b. z = -2.72 c. z = -1.96 d. z = -2.33. (5). The researcher tests the following hypotheses Ho : pi = P2 versus H : p1 # p2. The 90% confidence interval is a. –0.158 ± 0.096 b. -0.158 ±0.099 c. -0.158 ±0.077 d. -0.158 ±0.075
1-b. The Virginia Department of Environmental Quality (VDEQ) uses probabilistic moni- toring to regulate the water quality of streams in the Commonwealth of Virginia. Of the 120 Eastern Virginia Sites (group 1), 17 do not meet minimum requirements. Of the 80 units sam- pled in Western Virginia Sites (group 2), 24 do not meet minimum requirements. Assume the data can be treated as independent simple random samples. (3). The hypotheses to test that the proportions of streams that fail to meet minimum require- ments in the two areas are equal or not is a. Ho : P1 = P2 versus H. : P1 < P2- b. Ho : p1 = P2 versus Ha : p1 > p2- c. Ho : P1 = P2 versus Ha : p1 # P2- d. Ho : P1 = P2 versus H. : î1 # ê2- (4). The value of the z statistic for testing equality of the proportions of streams that fail to meet minimum requirements in the two areas are equal or not is a. z= -2,62 b. z = -2.72 c. z = -1.96 d. z = -2.33. (5). The researcher tests the following hypotheses Ho : pi = P2 versus H : p1 # p2. The 90% confidence interval is a. –0.158 ± 0.096 b. -0.158 ±0.099 c. -0.158 ±0.077 d. -0.158 ±0.075
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 2E
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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