economic future within our country. Understanding our strengths and weaknesses will also help us find economic data to improve the economy. The Federal Reserve Economic Data, also known as FRED, The United States Census Bureau, Bureau of Labor Statistics or BLS, and Data.gov are just a few examples of great resources to gather historical economic data as well as economic forecast data. FRED FRED is an online database with thousands of economic data from different resources. It is maintained
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Name Instructor’s name Course Date Statistics 1a. P (red ∩ rugged) = P(red)*P(rugged) = 40/200*85/200 = 17/200 b. P (standard) = 46/200 P (not standard) = 1- 46/200= 77/100 P (not standard) = P (DELUXE U RUGGED) = 69/200+85/200 = 77/100 2. P (A) =0.3 P(S) = 0.39 P (M) = 0.63 P (A∩S∩M) = 0.3*0.39*0.63 = 0.07371 ASSUMPTION The events are all independent of each other. 3. P(X=7) 1-(1/8)*(7/8)7= 0.95 b. P(X>7) 1- (1/8)*(7/8)7+
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Descriptive statistics of the frequencies, means and percentages of medical errors occurrence as a result of each cause are presented in Table 4.3. The staff who participated in this study reported that their team often or frequently encountered medical errors because
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Introduction to Probability Randomness and statistical regularity There are many instances in nature for which we cannot predict the possible event that may happen. We can say in these cases that the occurrence of the event is random. However for whatever reason that the event cannot be predicted we can make a definite average pattern of results can be seen in these situations leading to random occurrences when the situation that led to the event is repeated a number of times. The simplest example
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Categorical and Continuous Variables By SSG Huerta Aracely 18 July 2015 MHS 506 Biostatistics Categorical and Continuous Variables Variables and data can either represent measurements on some continuous scale, or they represent information about some categorical or discrete characteristics. Some examples of continuous variable are weight, height, and age. Categorical variables can be considered a person's gender, occupation, or marital status. Some variables could be considered both categorical
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Business 206 August 16, 2011 Statistics project ABC Commercial lengths vs MTV The goal of this study was to test the hypothesis; MTV commercials are longer than ABC commercials. To do this the study was designed to be Quantitative: consist of numeric measurements and counts. Our study is measured in seconds so it was Quantitative. The level of measurement used Ratio; because in this study a zero entry is an inherent zero and not just a place on a scale. You cannot for example have -5 seconds
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Academic Stress and Emotional Eating among Selected College Students A Thesis Proposal Presented to the Department of Psychology Far Eastern University In Partial Fulfillment Of the Requirements of the Degree Bachelors of Science in Psychology By Alingayao, Liezel O. Esporlas, Mara Alexandria F. Hablero, Maritony E. Pilones, Edrick V. Siano, Silka Andrea M. Torrecampo, Lyana Nicole B. CHAPTER 3 Research Methodology This chapter contains the research design of the study
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Sampling Element TKMSA will conduct a data mining process that will gather information regarding the selling price for floor level, view, demographics of the unit and the furnishings within the condo. Sampling theory is the field of statistics that is involved with the collection, analysis and interpretation of data gathered from random samples of a population under study. Not only is the theory concerned with selecting the proper observations but also uses the probability theory for
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In this assignment I will be explaining the reasons for selecting the particular method of data collection for a selected product/service. The selected product that I will be collecting data for is an anti-depression medication made my HML (Hutchinsons Medical Limited). The data collecting method I’ve chosen is face to face interviews in order to get the respondents full attention and collect data without any distractions. I intend on finding out the respondent’s age, whether they suffer from depression/anxiety
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