level=alpha (a) = 0.01 or 1% No of tails= 1 This is a 1-tailed test because we are testing that the mean is greater than 10 Since sample size= 35 >= 30 we will use normal distribution This is a one tailed test because we are testing the area in the right tail Since the sample size is large we will use z distribution Z at the 0.01 level of significance 1 tailed test = 2.3263 z critical= 2.3263 Decision rule If the sample z value > z critical‚ 2.3263 reject Null Hypothesis
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actual value of [pic] (when [pic]) about [pic] of the time. In addition‚ it can be useful to obtain a confidence interval for the mean of the distribution of [pic] given a value of [pic]. For example‚ a [pic] confidence interval for the mean value of [pic]‚ given that [pic]‚ is an interval that is constructed by a method that will capture the mean of the distribution of [pic] (when
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MEASUREMENTS AND ELECTRONIC INSTRUMENTS (EE21004) TUTORIAL-I SECTION 1: QUALITY OF MEASUREMENTS Q1. (a) A meter ‘I’ has ± 5% accuracy on true value while another ‘II’ has ±5% accuracy on scale range. Both the meters have the same scale range. Calculate the ratio of accuracy of the two meters for a deflection of 10% of full scale range in each meter. [1:10] (b) A 0-100V voltmeter has 200 scale divisions which can be read to half a division. Determine resolution of meter in volt. [0.25 V] (c)
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Use of Ranks in One-Criterion Variance Analysis Author(s): William H. Kruskal and W. Allen Wallis Source: Journal of the American Statistical Association‚ Vol. 47‚ No. 260 (Dec.‚ 1952)‚ pp. 583-621 Published by: Taylor & Francis‚ Ltd. on behalf of the American Statistical Association Stable URL: http://www.jstor.org/stable/2280779 Accessed: 05-03-2015 13:33 UTC Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use‚ available at http://www.jstor.org/page/info/about/policies/terms
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Question 1 2 out of 2 points | | | If variable costs increase‚ but price and fixed costs are held constant‚ the break even point will decrease. Answer | | | | | Selected Answer: | False | Correct Answer: | False | | | | | Question 2 2 out of 2 points | | | In general‚ an increase in price increases the break even point if all costs are held constant. Answer | | | | | Selected Answer: | False | Correct Answer: | False | | | | | Question
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Questionnaires This section summarizes the results of questionnaires handed out to a random sample of 110 people. Pie charts are provided‚ which reflect the responses to each question. Part Two: 200 Flips This section discusses the outcome of flipping a normal coin two-hundred times. Recorded observations are explained in detail. Part Three: 200 Stimulated Flips For this part‚ a computer stimulated coin flip in which a coin is flipped two-hundred times is discussed. The results are compared in the
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FINS 5550 / FINS 3650 — International Banking Recap 04A — Credit Transformation and Credit Risk Credit Risk More than eighty percent of the average bank’s capital is held against credit risk. If credit risk accounts for >80% of the bank’s inventory cost‚ it’s a fair bet that credit transformation accounts for a similarly large portion of bank profits. Credit risk arises whenever the bank has an exposure which requires a counterparty to remit funds. The exposure can arise from a loan or loan-type
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not less than 0.05. 4. What are the assumptions for conducting a t-test for dependent groups in a study? Which of these assumptions do you think were met by this study? The assumptions for the t-test for dependent groups are: the distribution of scores is normal or approximately normally defined‚ the depended variables are measures at interval or ratio levels‚ the groups examined for difference are dependent based on matching or subjects serving as their own control‚ and the difference between
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S where µ is known as the asset ’s drift ‚ a measure of the average rate of growth of the asset price‚ σ is the volatility of the stock‚ it measures the standard deviation of an asset ’s returns‚ and dX is a random sample drawn from a normal distribution with mean zero. Both µ and σ are measured on a ’per year ’ basis. Understanding the Stock Pricing Model 22M:303:002 Wiener Process Ito ’s Lemma Derivation of Black-Scholes E cient Market Hypothesis Solving Black-Scholes Past
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has mean 3.1948 and standard deviation 0.0889‚ with a sample size of 25. X (bar) = 3.948‚ s =0.0889‚ n = 25 Use a one-sample t-test Conditions/assumptions for a t-test •Random sample- our survey was a random sample of 25 stations •Normal distribution –we are assuming gasoline prices are normally distributed Null hypothesis: The mean regular unleaded gas prices for your region is the same as that in the study µ 0 = 3.16 Alternate hypothesis: The mean regular unleaded gas prices for
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