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## ch5 and 61. Sampling with replacement results in events that are independantTRUE, FALSE, , 2. The density curve is the graph used to represent the values of discrete random varialbe mean, median, mode, none of the above, 3. the distribution of the sample means approaches a normal distribution as the sample size decreases. TRUE, FALSE, , 4. The population distribution is normal if the pattern of the points is reasonably close to a straight line and the points show some systematic pattern TRUE, FALSE, class website , 5. The expected value of a discrete random variable is denoted by E and it represents the ........ of the outcomes. region/distance, area/mean, distance/region, none of the above, 6. A uniform distribution has a bell-shape with total area equal one . TRUE, FALSE, , 7. z Score represent the ......... along horizontal while area/prbability represent ...... under the curve TRUE, FALSE, , 8. If the original population is normally distributed, then for any sample size n, the sample means will be normally distributed probability distribution, normal distribution build your own quiz , standard normal distribution, Sampling distribution of a statistic, 9. we can transform the data so that the modified values have a normal distribution by replacing each value of x with TRUE, FALSE, , 10. Sample means don%27t target the value of the population mean. standard deviation, proportions, mode, median, 11. Binomial probability distributions is a special kind of probability distribution TRUE, FALSE, , 12. An example of discrete random variable is the number of eggs standard deviation, range, median, all of the above, 13. Table A-2 is used to find p(z%3c=a) only TRUE, FALSE, , 14. distribution of all values of that statistic when all possible samples of the same size are taken from the same population is the difinition of: TRUE, FALSE, , 15. In the standard normal distribution the mean equal =0 and the S.D equal 1 TRUE, FALSE, , 16. In the Central Limit Theorem the mean of the sample means is the population mean and the S.D is the population S.D(standard deviation). TRUE, FALSE, , 17. Sample ........... is unbiased estimator Normal distribution, stem plot, normal quantile plot /normal probability plot, none of the above, 18. The Ryan-Joiner test is one of several formal tests of normality TRUE, FALSE, , 19. binomial probability distribution results from a procedure that meets TRUE, FALSE, , 20. Sample means and median and proportions are unbiased estimators log (x %2b 1). , 1/x, x^2, all of above, 21. Sample ......are biased estimators fixed number of trials, independent trials, outcomes classified into two categories , All of above, |