point for accepting or rejecting the null hypothesis‚ anything greater or smaller than 0.05 suggests the strength of evidence against‚ or for‚ the null hypothesis‚ as shown in table 1. Table 1: Showing the range of p-values‚ action to take in that case and the strength of evidence it suggests. p-value | Action | Strength of evidence against Ho | >0.05 | Retain Ho | Insufficient | ≤0.05 | Reject Ho‚ Accept H1 | Some | ≤0.01 | Reject Ho‚ Accept H1 | Strong | ≤0.001 | Reject Ho‚ Accept
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Note: When you answer questions involving the test of hypotheses‚ use the four-step hypothesis process (see textbook pages 298-299). Also‚ see your textbook for the full question when necessary; the chapter 9 problems start on p. 303 Chapter 9‚ problems 4‚ 12‚ 14‚ 22 4. Explain why t distributions tend to be flatter and more spread out than the normal distribution. 12. Last fall‚ a sample of n = 36 freshmen was selected to participate in a new 4-hour training program designed to improve
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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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e-Business Plan: Competitor Analysis Every business has competition and prospective business owners ignore competitors at their peril. Unless a business has an absolute monopoly on a life-essential product‚ there will be competitors offering alternative and substitute products and services. That level of competition is revealed in the competitor analysis section of your e-business plan. A competitor analysis is an important requirement in any business plan because it (a) reveals the firm’s competitive
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Question1: Frequency Distribution. Histograms‚ Cumulative Frequency and Ogives. 1) a) 799 b) 1000 c) 900+9992 = 949.5 d) Lower Class Boundary=1100-0.5 =1099.5 Upper Class Boundary=1199.5+0.5=1199.5 e) 100 f) 76 g) 62400×100=15.5 h) 600-699‚ the fourth class has the largest frequency of 76. i)14+46+58400 ×100=29.5% j) 48+22+6400 ×100=19.0% k) 4002=200 200 lie in the fifth class interval 700-799 ∴The median lies in this interval. =l+n2-cff×h =700+200-19468×99 =708.735 l)
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In the 21st Century the number of women enrolling in higher education institutions is surpassing the numbers of men enrolled. The graduation rates of women from high school and higher education are most often higher than for men. The number of women graduates from most professional occupations‚ including higher paying medicine‚ law and business‚ will exceed the number of men graduates in the near future. In numerous occupational areas with a majority of women graduates‚ salaries already surpass salaries
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Name: ____________ Date: ______________________________________________________________________________ □ EXERCISE 31 1. What are the two groups whose results are reflected by the t ratios in Tables 2 and 3? The two groups with results on the effects on cardiovascular risk factors and the programs effective on health behavior have paid t-ratios 2. Which t ratio in Table 2 represents the greatest relative or standardized difference between the pretest
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2-26. Disks of polycarbonate plastic from a supplier are analyzed for scratch and shock resistance. The results from 100 disks are summarized here: Scratch Resistance Shock Resistance High Low High 70 9 Low 16 5 Let A denote the event that a disk has high shock resistance‚ and let B denote the event that a disk has high scratch resistance. Determine the number of disks in A B‚ A‚ and A B. A B = 70‚ A= {9+5}= 14‚ A B ={70+16+9}= 95 2-86. Strands of copper wire from
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SEMISTER 1 Statistics for Management: 1.Statistics plays a vital role in almost every facet of human life. Describe the functions of Statistics. Explain the applications of statistics. Ans:Branch of mathematics concerned with collection‚ classification‚ analysis‚ and interpretation of numerical facts‚ for drawing inferences on the basis of their quantifiable likelihood (probability). Statistics can interpret aggregates of data too large to be intelligible by ordinary observation because such data
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ECO1ISB Introductory Statistics for Business Assignment 2: Inferential Statistics |Hand out: |Week 7 | |Hand in : |Week 11 | 1. [8 marks] What are parameters and statistics (or estimates)? List two of the parameters and their corresponding statistics that were covered
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