1) Suppose that an independent laboratory has tested trash bags and has found that no 30-gallon bags that are currently on the market have a mean breaking strength of 50 pounds or more. On the basis of these results‚ the producer of the new‚ improved trash bag feels sure that its 30-gallon bag will be the strongest such bag on the market if the new trash bag’s mean breaking strength can be shown to be at least 50 pounds. The mean of the sample of 40 trash bag breaking strengths in Table 1.9 is x=50
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Does asymptotic mean that the normal curve gets closer and closer to the X-axis but never actually touches it? Yes‚ asymptotic means that the curve of a line will approach 0 (the x-axis)‚ but it will not touch 0 and instead will extend to infinity. In this class‚ this applies to the normal continuous distribution and is one of the 4 key characteristics of a normal continuous distribution that our text book discusses. This means that the curve of the line will extend infinitely in both the negative
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Contents 1.0 Chapter 1-Introduction‚ problem statement and objectives 2 2.0 Chapter 2- Literature Review 4 3.0 Chapter 3-Methodology 7 4.0 Chapter 4- Result 8 5.0 Conclusion 9 6.0 References 10 7.0 Articles 11 8.0 Appendix 11 * Chapter 1-Introduction‚ problem statement and objectives This assignment appertains to analyzing the relationship between one dependent variable with various independent variables. This assignment will be divided into 5 chapters in which
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| Project paper and Feasibility Paper: Week 2 | As preparation for the final research paper‚ formulate a theory about the correlation between measurable independent variables (causes) and one measurable dependent variable (the effect). Be sure to have at least two independent variables for proposed research paper. The topic proposal should include the following four items which serve as the foundation for the final research paper after instructor feedback is given. | 1) Purpose Statement In
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Exercise 5-57 Assume there are 23 homes in the Quail Creek area and 9 of them have a security system. Four homes are selected at random: | (a) | What is the probability all four of the selected homes have a security system? (Round your answer to 4 decimal places.) | Probability | | (b) | What is the probability none of the four selected homes have a security system? (Round your answer to 4 decimal places.) | Probability | | (c) | What is the probability at least one
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|T F |1. |If on average y increases as x increases‚ the correlation coefficient is positive. | |T F |2. |Pearson’s correlation coefficient‚ r‚ does not depend on the units of measurement of the two variables. | |T F |3. |The value of Pearson’s r is always between 0 and 1. | |T F |4. |If r is close to 1‚ then the points lie close to a straight line with a positive
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The contingency tables and relative frequency probabilities in this exercise are based on the Springdale Shopping Survey database. Information like that gained from the two parts of this exercise could provide helpful insights into the nature of the respondents‚ their perceptions‚ and their spending behaviors. In particular‚ part 2 examines how conditional probabilities related to spending behavior might vary‚ depending on the gender of the respondent. Based on the relative frequencies for responses
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November 19‚ 2010 NAME: The Statistics of Poverty and Inequality TYPE: Sample SIZE: 97 observations‚ 8 variables DESCRIPTIVE ABSTRACT: For 97 countries in the world‚ data are given for birth rates‚ death rates‚ infant death rates‚ life expectancies for males and females‚ and Gross National Product. SOURCES: Day‚ A. (ed.) (1992)‚ _The Annual Register 1992_‚ 234‚ London: Longmans. _U.N.E.S.C.O. 1990 Demographic Year Book_ (1990)‚ New York: United Nations. VARIABLE DESCRIPTIONS: Columns 1 -
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Q1. (a) ‘Statistics is the backbone of decision-making’. Comment. Ans.(a) Due to advanced communication network‚ rapid changes in consumer behavior‚ varied expectations of variety of consumers and new market openings‚ modern managers have a difficult task of making quick and appropriate decisions. Therefore‚ there is a need for them to depend more upon quantitative techniques like mathematical models‚ statistics‚ operations research and econometrics. Decision making is a key part of our day-to-day
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Section 1.1 - Introduction to the Practice of Statistics 1. Explain the difference between a population and a sample. A population is the entire group to be studied and a sample is a portion of the population. 2. Explain the difference between a parameter and a statistic. A statistic is a numerical summary of a sample and a parameter is a numerical summary of a population. 3. What is Descriptive Statistics and how is it used? Descriptive statistics describes the results of a sample without
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