In_class_Practice2-solution

# In_class_Practice2-solution - In-class Practice...

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Unformatted text preview: In-class Practice 2NAME:_____________________________Solution______________________BUAD 310USC ID#:_________________________________________________________ LAB TIME___________________________________________________ARIF ANSARIPART 1 - MULTIPLE CHOICE [5 points each]1.Based on the Normal Quantile plot, we can say ,a)The Width is approximately uniformly distributedb)The Width is approximately normally distributed Answerc)The Width is Skewed to the rightd)The Width is Skewed to the leftDistributionsWidth0.10.20.30.40.50.6.01.05.10.25.50.75.90.95.99-3-2-1123Normal Quantile Plot(based on histogram and Q-Q plot we can tell it is approximately normally distributed)2.If the sampling population is normally distributed, then the distribution of the sample mean is`a)Generally a skewed distributionb)Exactly normal distribution Answerc)Approximately normal distribution, if “n” is larged)Generally not a normal distributione)None of the above(if population is normally distributed then x-bar is exactly normally distributed.)3.Which of the following statements is not true?a)In the normal distribution, the total area under the curve is equal to one.b)In the normal distribution, the right half of the curve is a mirror image of the left half, since the distribution is symmetric.1c)In any normal distribution, the mean, median, mode, and standard deviation are all at the same position on the horizontal axis. Answerd)In the normal distribution, the curve is asymptotic but never intercepts the horizontal axis either to the left or right.e)In the normal distribution, the total area beneath the curve represents the probability for all possible outcomes for a given event.(stdev is not a location.)4. A sample size of “n”, n < 30is drawn from a Non -Normal distributionwith mean μand standard deviation σ. By Central limit theorem, the distribution of the sample mean isa) Exactly normal with mean μand variance σ2 /nb) Non normal with mean μand variance σ2 /n Answerc) Approximately normal with mean μand variance σ2 /nd) Non normal with mean μand variance σ2 e) None of the above5. A sample size of “n”, n ≥ 30is drawn from a Non –Normal distributionwith mean μand standard deviation σ. By Central limit theorem, the distribution of the sample mean isa) Exactly normal with mean μand variance σ2 /nb) Non normal with mean μand variance σ2 /nc) Approximately normal with mean μand variance σ2 /n Answerd) Non normal with mean μand variance σ2 e) None of the above6.A point estimate is defined as:a) The average of the sample values (this is an example for point estimate)b) The average of the population valuesc) A single value that is an estimate of an unknown population parameter Answer (This is the definition)d)A single value that is an estimate of an unknown sample statistic7. Two sampling distributions of Z are shown below. Both distributions were generated from the same population. Which sample has a larger sample size ?...
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## This note was uploaded on 02/16/2009 for the course BUAD 310 taught by Professor Lv during the Fall '07 term at USC.

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In_class_Practice2-solution - In-class Practice...

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