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exam2Sp08 - Exam 2 Spring 2008 1 Name Psych Stats Spring...

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Exam 2 Spring 2008 Name_________________________ Psych Stats Spring 2008 Brannick Exam 2 Instructions: Write your name and U number on the scantron. Answer any 50 of 55 questions on the exam by bubbling in the best of the four alternatives given. For those questions you wish to omit, bubble in “e.” If you answer all 55, I will choose the last 5 for you, so it is in your interest to pick 5 and bubble in “e”. You can take the printed exam with you. Give the scantron to your lab instructor (or proctor) when you are done. Handy formulas: N X X σ σ = N s s X X 2 = ; 1 ) ( 2 2 - - = N X X s X X X z σ μ - = X obt s X t μ - = X z X CI σ 05 . % 95 ± = X s t X CI 05 . % 95 ± = SD X X z - = N X X = Tabled values of z, the unit normal. Z Between mean and z Beyond z Z Between mean and z Beyond z 0.00 0.0 50.00 0.90 31.5 18.41 0.10 3.98 46.02 1.00 34.13 15.87 0.20 7.93 42.07 1.10 36.43 13.57 0.30 11.79 38.21 1.20 38.49 11.51 0.40 15.54 34.46 1.30 40.32 09.68 0.50 19.15 30.85 1.40 41.92 08.08 0.60 22.57 27.43 1.50 43.32 06.68 0.70 25.80 24.20 1.60 44.52 05.48 0.80 28.81 21.19 1.65 45.00 05.00 1.70 45.54 04.46 1.96 97.50 02.50 Critical values of t , alpha = .05, two-tails df t df t 1 12.706 6 2.447 2 4.303 7 2.365 3 3.182 8 2.306 4 2.776 9 2.262 5 2.571 10 2.228 1
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Exam 2 Spring 2008 Chapter 5 Standard Error of the Mean 1. The standard deviation of the sampling distribution is called the: a. Mean Error b. Standard deviation c. Standard Error d. Standard Variance 2. The sampling distribution is a distribution of what? 3. Suppose 100 people were sampled and the standard deviation was found to be 10. What would the standard error be? 4. The output shown below (next page) is based on self-reported age data from this class. What is the standard deviation of age for this class? 5. For the same data, what is the stardard error of the mean? a. .47 b. 6.24 c. 21.88 d. 39.96 2
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Exam 2 Spring 2008 Descriptives Statistic Std. Error Age Mean 21.8786 .47453 95% Confidence Interval for Mean Lower Bound 20.9420 Upper Bound 22.8153 5% Trimmed Mean 20.8237 Median 20.0000 Variance 38.956 Std. Deviation 6.24148 Minimum 17.00 Maximum 49.00 Range 32.00 Interquartile Range 4.00 Skewness 2.866 .185 Kurtosis 8.369 .367 6. A biased statistic is a statistic for which the mean of the sampling distribution ______. 7. What happens to the standard error of the mean as the sample size increases?
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