Part 1 of 1 - | Question 1 of 10 | 1.0 Points | Consider the following scenario in answering questions 1 through 4. Results from previous studies showed 79% of all high school seniors from a certain city plan to attend college after graduation. A random sample of 200 high school seniors from this city reveals that 162 plan to attend college. Does this indicate that the percentage has increased from that of previous studies? Test at the 5% level of significance. State the null and alternative
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confidence. A. 1.88 B. 1.66 C. 1.96 D. 2.33 2. In a sample of 10 randomly selected women‚ it was found that their mean height was 63.4 inches. Form previous studies‚ it is assumed that the standard deviation‚ σ‚ is 2.4. Construct the 95% confidence interval for the population mean. A. (61.9‚ 64.9) B. (58.1‚ 67.3) C. (59.7‚ 66.5) D. (60.8‚ 65.4) 3. Suppose a 95% confidence interval for µ turns out to be (120‚ 310). To make more useful inferences from the
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Population and Sampling MTH/231 Fahad M. Gohar Statistical data dates back to as early as Ancient Greek time‚ where it was introduced by John Graunt‚ William Petty and Pascal in the 16th century. It was then re-introduced by Gottfriend Achenwall in the 17th century. This was a very exciting time for scientists‚ astronomers and physicists alike as it raised the confidence and knowing that the laws of nature were not of divine intervention. As the years went on‚ new mathematical
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Population and Sampling MTH/231 August 29‚ 2012 Importance of Population and Sampling History from Political Arithmetic to Statistics The history timeline show evidence of statistical data as early as Ancient Greece time but records show statistics in late 16th century‚ when it was introduced by‚ John Graunt‚ William Petty‚ and Pascal and later in 17th century by Gottfried Achenwall. It was an exciting time when success and discoveries raised the confidence of scientists‚ physicist and astronomers
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6 and 7‚ NORMAL DISTRIBUTION AND SAMPLING Instructor: Asiye Aydilek PART 1- Multiple Choice Questions ____ 1. For the standard normal probability distribution‚ the area to the left of the mean is a. –0.5 c. any value between 0 to 1 b. 0.5 d. 1 Answer: B The total area under the curve is 1. The area on the left is the half of 1 which is 0.5. ____ 2. Which of the following is not a characteristic of the normal probability distribution? a. The mean and median are equal b. The mean of
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alpha is considered overpricedC. positive alpha is considered underpricedD. zero alpha is considered a good buy 3. The beta of a security is equal to _________. A. the covariance between the security and market returns divided by the variance of the market’s returnsB. the covariance between the security and market returns divided by the standard deviation of the market’s returnsC. the variance of the security’s returns divided by the covariance between the security and market returnsD. the variance
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EXERCISES (Discrete Probability Distribution) EXERCISES (Discrete Probability Distribution) P X x n C x p 1 p x BINOMIAL DISTRIBUTION n x P X x n C x p 1 p x BINOMIAL DISTRIBUTION n x 1. 2. 3. The probability that a certain kind of component will survive a given shock test is ¾. Find the probability that exactly 2 of the next 4 components tested survive. The probability that a log-on to the network is successful is 0.87. Ten users
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X-bar The topic of 4th seminar&lab is the average of the population that has a certain characteristic. This average is the population parameter of interest‚ denoted by the greek letter mu. We estimate this parameter with the statistic x-bar‚ the average in the sample. Probability and statistics - Karol Flisikowski X-bar Definition 1 x xi n i 1 Probability and statistics - Karol Flisikowski n Sampling Distribution of x-bar How does x-bar behave? To study the behavior
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luxury sports cars in twelve months from now. There is a table shows the order of five customers and in which currencies. Using those data I will find out mean‚ standard deviation and some probability for analysis. In addition‚ these is a case involves an offer was given to Corvette by HSBC for estimating whether it is risk or not. Furthermore‚ we also thought about what role banks plays in the case‚ and analyzed the bank itself. Banks expected profit is also mentioned. Finally I used the data about my
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Sampling Methodologies Population: Population is defined as including all items with the characteristic one wishes to understand. Because there is seldom enough time or money to gather information from everyone or everything in a population‚ the goal is to find a representative sample (or subset) of that population. For example‚ a researcher might study the success rate of a new ’quit smoking’ program on a sample group of 50 patients‚ in order to predict the effects of the program if it were
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