In the statistics I read‚ I found that in every category there was “speeding too fast”. Obviously that is a problem in Utah. In my experience with drivers‚ I have noticed that many people speed and don’t even realize that they are doing so. I think that speeding is a problem because so many people die from it. On the page it stated that “15.2%” of people die from speeding and that “14.7%” of teens die from speeding. I will admit that it is shocking that those percentages are so high. I didn’t expect
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consists of 20 multiple-choice questions. Each question has five possible answers and all questions carry equal weight. Mary has not studied for the exam and will be picking her answers at random. What is the probability that Mary will get a score of at least 30% on this exam? n=20‚ p=0.20 P(X≥6) (0.30)(20)=6 Distribution Plot Binomial‚ n=20‚ p=0.2 0.25 Probability 0.20 0.15 0.10 0.05 0.1958 0.00 0 P(X≥6)=0.196 X 6 If 40% is the lowest passing score
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There are three basic operational rules which help to simplify the use of the sigma notation. 1. For any integer N Operational Rules for Summation N i i N i i N i i i y x y x 1 1 1 2. If c is a constant‚ that is‚ does not depend on the index of summation i‚ then Continue... Nc c and x c cx N i N i i N i i 1 1 1 The graphical representation of data gives us the idea on the shape of the distribution
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Air Force Assignment 1. Use appropriate descriptive statistics to summarize the training time data for each method. What similarities or differences do you observe from the sample data? Descriptive analysis in excel has been used to come up with relevant figures of the given data samples which is tabulated below: Descriptive Statistics | Current | Proposed | Mean | 75.06557 | 75.42623 | Standard Error | 0.505094 | 0.32091 | Median | 76 | 76 | Mode | 76 | 76 | Standard Deviation |
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which we accept until proven false. 2. Alternative or Research Hypothesis (Ha )- A statement that contradicts the null hypothesis. It represents researcher’s claim about the population parameters. This will be accepted only when data provides sufficient evidence to establish its truth. 3. Test Statistic - A sample statistic (often a formula) that is used to decide whether to reject H0 . 4. Rejection Region- It consists of all values of the test statistic for which H0 is rejected. This rejection region is
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Statistics Test Pearson’s correlation test Correlation is a technique for investigating the relationship between two quantitative‚ continuous variables‚ for example‚ age and blood pressure. Pearson’s correlation coefficient (r) is a measure of the strength of the association between the two variables. The nearer the scatter of points is to a straight line‚ the higher the strength of association between the variables. Also‚ it does not matter what measurement units are used (URL1)
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1. A recent issue of Fortune Magazine reported that the following companies had the lowest sales per employee among the Fortune 500 companies. [20 Marks] | |Company |Sales per Employee ($1000s) |Sales Rank | | |Seagate Technology |$42.20 |285 | | |SSMC | 42.19
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assignments at nominal price of Rs.120 each. Mail us at: subjects4u@gmail.com or contact at 09882243490 Master of Business Administration- MBA Semester 1 MB0040–Statistics for Management-4 Credits (Book ID: B1731) Assignment (60 Marks) Note: Answer all questions (with 300 to 400 words each) must be written within 6-8 pages. Each Question carries 10 marks 6 X 10=60 Q1. Distinguish between Classification and Tabulation. Explain the structure and components of a Table with an example. • Meaning of
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1. Question : Employees of a local university have been classified according to gender and job type. If an employee is selected at random what is the probability that the employee is male? Answer: .667 2. Question : Employees of a local university have been classified according to gender and job type. If an employee is selected at random what is the probability that the employee is female given that the employee is a salaried member of staff? Answer:
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Types of Variables Binary variable Obsevations (i.e.‚ dependent variables) that occur in one of two possible states‚ often labelled zero and one. E.g.‚ “improved/not improved” and “completed task/failed to complete task.” Usually an independent or predictor variable that contains values indicating membership in one of several possible categories. E.g.‚ gender (male or female)‚ marital status (married‚ single‚ divorced‚ widowed). The categories are often assigned numerical values used as lables
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