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Finite Population Handout
Finite Population Handout

... We are comfortable with our estimate give or take almost a million people. It’s not very impressive, but that’s how it goes with the estimation of totals. You multiply a small margin of error by a very big number, and you get a big number. The estimation of totals is inherently not very precise. Thi ...
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... estimate the mean number of hours worked per week by students. A sample of 49 students showed a mean of 24 hours. It is assumed that the population standard deviation is 4 hours. What is the population mean? ...
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Manassas City Public Schools (4-19-07)

... CCSS 6.SP.1 ~ Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, “How old am I?” is not a statistical question, but “How old are the students in my school?” is a statistical question because one an ...
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Worksheet B

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... be found even if the size of the absolute effects are so small that they are of no clinical interest. • The fact that no significant results were found, does not mean that no difference exists. Perhaps the study had to low power to detect a true difference/effect/association. ...
Chi-Square and T-Tests Using SAS®: Performance and Interpretation
Chi-Square and T-Tests Using SAS®: Performance and Interpretation

... whether the distribution of age is different for beach and non-beach swimmers (i.e. is there an association between swim location and age), the correct percentage to examine in the two-way table is the row percentage, which is the third number listed in each cell of the table. The row percentages ar ...
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...  Measurement – Generally what questions do we ask so that we get the information we want  Sampling Plan – How do we select a sample for the study such that we maximize its chances of faithfully representing the population of interest  Analysis – confirming that all information being obtained is a ...
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... significant difference between the two groups this is the procedure we use. Many of the techniques and statistics that we have used in previous chapters will be used again. So it should seem very familiar how we go about studying and analyzing this type of procedure. Assumptions When Comparing Two S ...
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... What if the mean of the lifetimes of 25 bulbs were 4999.99? Most rational people would retain null. What if the mean of the lifetimes of 25 bulbs were 1003.23 Most rational people would reject null. What if the mean of the lifetimes of 25 bulbs were 4876.44? Hmm. A gray area. Clearly we need some ru ...
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The 5 per cent trimmed mean - United Nations Office on Drugs and

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... 6) (Sec 6.3 – omit su06) A survey of 250 households showed 62 owned at least one gun. Construct a 90% confidence interval for the proportion of households that own at least one gun. A) (0.369, 0.451) B) (0.683, 0.712) C) (0.103, 0.189) D) (0.203, 0.293) ...
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251y0244
251y0244

... b. I use an average of 2 boxes of paper in a day , but it takes 5 days to get a delivery. Given the average usage over 9 days , do the following: (i) What is the probability of using at least 22 boxes in the 9 day period? (1) (ii) What is the probability of using more than 22 boxes? (1) (iii) If x i ...
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Statistics 13 Elementary Statistics Describing Qualitative Data

... Summary of Graphical Descriptive Methods for Quantitative Data • Dot Plot: The numerical value of each quantitative measurement in the data set is represented by a dot on a horizontal scale. When data values repeat, the dots are placed above one another vertically. • Stem-and-Leaf Display: The numer ...
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... b. I use an average of 2 boxes of paper in a day , but it takes 6 days to get a delivery. Given the average usage over 6 days , do the following: (i) What is the probability of using at least 5 boxes in the 6 day period? (1) (ii) What is the probability of using more than 6 boxes? (1) (iii) If x is ...
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Misuse of statistics

Statistics are supposed to make something easier to understand but when used in a misleading fashion can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator. When the statistical reason involved is false or misapplied, this constitutes a statistical fallacy.The false statistics trap can be quite damaging to the quest for knowledge. For example, in medical science, correcting a falsehood may take decades and cost lives.Misuses can be easy to fall into. Professional scientists, even mathematicians and professional statisticians, can be fooled by even some simple methods, even if they are careful to check everything. Scientists have been known to fool themselves with statistics due to lack of knowledge of probability theory and lack of standardization of their tests.
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