Week 5 Fitness Quiz
To take this "open book" quiz:
1. For any conceivable distribution of scores, the range will exceed the: Mean Median Mode Standard deviation
2. Distribution A and B have exactly the same range and the same number of scores. How does their means compare? Mean A is greater than mean B Mean A is equal to mean B Mean A is less than mean B Any of the above may be true
3. Nine experts rated a newly developed chocolate chip cookie on a scale of 1 to 50. Their ratings were: 34, 35, 41, 28, 29, 32, 36, 38 and 40. What is the standard deviation? 0.75 4.29 8.00 12.67
4. The ages of all patients in the isolation ward of the hospital are 38, 26, 13, 41 and 22. What is the population variance? 42.4 91.4 106.8 240.3
5. If the sample variance for a frequency distribution was computed to be 10, what is the sample standard deviation? 1.96 3.16 4.67 10.00
6. A sample of the monthly amounts spent for food by families of four approximates a symmetrical distribution. The sample mean is $150 and the standard deviation is $20. About 95 percent of the monthly food expenditures are between what two amounts? $85 and $105 $100 and $200 $110 and $190 $205 and $220
7. You have collected three samples of data. For the first sample you have computed a mean of 62 and a standard deviation of 3.8; the second sample you have computed a mean of 64 and standard deviation of 6; the third sample you have computed a mean of 60 and standard deviation of 4.5. For which sample is a score of 58 most discrepant? First Second Third Cannot be computed
8. If it turns out that your sample standard deviation equals the actual population standard deviation, then we can say that your sample statistics is a (n) ___________ of the population parameter. Estimate Coefficient Unbiased estimator Significant estimator
9. If you are dealing with sample data, the sums of squares should be divided by n n(n-1) n-1 n-2
10. In order to obtain a z score, we must ______________ and then divide by the standard deviation. Subtract the sample mean from the population mean Subtract the population mean from the sample mean Subtract the population mean from the X score Add the sample mean and the X score
11. The mean of the z distribution is: Equal to the mean of the population distribution Equal to the mean of the sample Always equal to 1 Always equal to 0
12. We will account for __________________% of all scores if we look between -2 and +2 standard deviations in a normal distribution. 34 68 95 99.7
13. If we want to judge the magnitude of the difference between the means of two different samples we must know the:
Standard deviation Range of values in both samples Independent and dependent variables Sample mean
14. When you add all the X scores and then square that value, this is symbolically written as: ∑^{2}X (∑X)^{2} ∑X^{2} (∑X^{2})
15. If a score is 118 and the mean of the test is µ= 100 with a standard deviation of s = 16, what is the z score of the test score? -1.5 1.125 1.5 2.0
16. If a score is 118 and the mean of the test is µ= 100 with a standard deviation of s = 16, what percentage of the population scored above 118? 5.0 13.1 25.2 65.4
17. Provide the values of X for a z score of -1.28 when µ= 67 and s = 9.7. 22.3 50.0 54.6 60.2
18. Translate a raw score of 58 into equivalent scores in the distribution of SAT scores, which has a mean of 500 and standard deviation of 100. The raw score distribution has a mean of 45 and a standard deviation of 7.5: 68.3 673 678 683
19. Score with a mean of 50 and a standard deviation of 10 are called: Z Scores T scores Stanines None of the above
20. The variance of a distribution equals 4. If each value in this distribution is multiplied by 4, the variance of the newly generated distribution would become: 4 8 16 64
Score = Here are the correct answers, compare them with yours:
If you scored less than 80%, you should review this week's instruction.