| Questions |
| Questions |
| 1 | A Random Variable is: | ||
| A) | A function that assigns a value to the outcome of an experiment | ||
| B) | A function that assigns a numberical value to each outcome of an experiment | ||
| C) | Is similar to a Continuous variable | ||
| D) | Can be either a number or any other variable | ||
| 2 | A discrete random variable is: | ||
| A) | Is one which takes only a countable number of distinct values | ||
| B) | Is one which takes all countable numbers of any value | ||
| C) | Is very similar to a continuous variable | ||
| D) | Is a random variable as well | ||
| 3 | A continuous random variable is: | ||
| A) | One which takes only a limited number of possible values | ||
| B) | One which takes only one possible value | ||
| C) | One which takes an infinite number of possible values | ||
| D) | One which takes only 100 ppossible values | ||
| 4 | The normal Distribution is: | ||
| A) | Not so important | ||
| B) | The least important of all the continuous distributions | ||
| C) | The most important of all the continuous distributions | ||
| D) | The most important of all the discrete distributions | ||
| 5 | In Statistical inference and Sampling the sample size is: | ||
| A) | The whole distribution | ||
| B) | A quantity identified by the person doing the analysis | ||
| C) | A limited number of items to be inspected in a sample | ||
| D) | The number of items to be inspected in a sample | ||
| 6 | Batch or lot sizes: | ||
| A) | Have a great impact on the sample size | ||
| B) | Do have an appreciale effect on the sample size | ||
| C) | Have very little impact on the sample size | ||
| D) | Does not have any appreciable effect on the sample size to be drawn from it | ||
| 7 | Random sampling means: | ||
| A) | Taking of a sample from a population in which each item has an equal chance of being included in the sample | ||
| B) | Taking the first samples in the whole distibution | ||
| C) | Samples selected on purpose by the person doing the analysis | ||
| D) | Taking t he last few samples in a whole distribution | ||
| 8 | Population means: | ||
| A) | Total number of individual items of the same design from which samples are taken | ||
| B) | A big sample taken from the whole distribution | ||
| C) | A lot of samples taken that are added together | ||
| D) | A small sample taken out of the whole distribution | ||
| 9 | The Central Limit Theorem states that: | ||
| A) | Sampling Distributions are not normally distributed | ||
| B) | Sampling Distributions can be assumed to be normally distributed even though their population distributions may not be normal | ||
| C) | Sampling Distributions can be assumed to be not normally distributed | ||
| D) | Sampling Distributions are normally distributed as long as their population distributions are normal as well | ||
| 10 | A large sample needs to be obtained for a nearly normal distribution for X bar. He sample must be: | ||
| A) | Greater than 10 | ||
| B) | Greater than 20 | ||
| C) | Greater than 30 | ||
| D) | Greater than 40 | ||