NAME (Proase prine karina EscobcY Fak, ao (2 points each) 1 in statistical infer

Question

NAME (Proase prine karina EscobcY Fak, ao (2 points each) 1 in statistical inference, one uses sample statistics to estimate population TRUE 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. FALSE TRUE 3. The median is the same thing as the soth percentile. FALSE TRUE yshev's inequality, a key assumption is that the When applying Cheb population from which you obtain 4 n your sample has a bell-shaped distribution. FALSE will lie within plus or minus taw o pproximately 68 percont of the data values o tend to be concentrated about the TRUE 68 percent of the data values 5. The empirical rule states that two standard deviations of the mean. TRUE FALSE Values of the uniform random variabl mean. 6. TRUE FALSE The t distribution is often referred to as the small-sample distribution of the sample mean. 7. TRUE FALSE 8. When hypothesis tests yield large p-values, the null should generally be rejected 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. . The z score for the standard normal curve can never be negative. A negative or inverse relationship between two variables occurs when one TRUE FALSE TRUE FALSE variable increases as the other variable decreases. TRUE FALSE he coefficient of correlation measures the strength of the linear relationship at exists between two variables TRUE FALSE

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We are allowed to do 4 subparts question at a time. Post again for more subparts of question.

1) True

Statistical inference is the process of deducing properties of an underlying probability distribution by analysis of data. Inferential statisticalanalysis infers properties about a population: this includes testing hypotheses and deriving estimates.

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

4) False

Chebyshev's inequalityis valid for all distributions of the random variable X, we cannot expect the bound on the probability to be very close to the actual probability in most cases.

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