In statistical inference, one uses sample statistics to estimate population para

Question

In statistical inference, one uses sample statistics to estimate population parameters 1. TRUE FALSE 2. In a simple random sample, you will need to make sure that every sample of size n has the same chance of being selected. TRUE FALSE 3. The median is the same thing as the 50th percentile. TRUE FALSE 4. When applying Chebyshev's inequality, a key assumption is that the population from which you obtain your sample has a bell-shaped distribution. TRUE FALSE 5. The empirical rule states that approximately 68 percent of the data values will lie within plus or minus two standard deviations of the mean. TRUE FALSE 6. Values of the uniform random variable tend to be concentrated about the mean. TRUE FALSE The t distribution is often referred to as the small-sample distribution of the sample mean 7. TRUE FALSE When hypothesis tests yield large p-values, the null should generally be rejected. 8. TRUE FALSE Each trial of a binomial experiment has two mutually exclusive possible outcomes. 9. TRUE FALSE 10. A random variable is a function that assigns a numerical value to each outcome of an experiment. FALSE TRUE 11. The z score for the standard normal curve can never be negative. FALSE TRUE 12. A negative or inverse relationship between two variables occurs when one variable increases as the other variable decreases. FALSE TRUE 13. The coefficient of correlation measures the strength of the linear relationshi that exists between two variables. FALSE TRUE

Explanation / Answer

1. True

Statistical inference is the process of deducing properties of an underlying probability distribution by analysis of data.

2. True

A simple random sample is a subset of a statistical population in which each member of the subset has an equal probability of being chosen.

3. True

The median is the 2nd quartile, 5th decile, and 50th percentile.

4. False

5. False

Empirical rule states 68% of data falls within the first standard deviation from the mean.

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