From the Word Bank provided at the end of the problems, write down the best answer.
- The value computed by $\frac{(\sum x-\overline{x})(\sum y - \overline{y})}{(n-1)\sigma_x \sigma_y}$
- A plot which quickly shows the distribution of the data, showing minimum, Q1, median, Q2, maximum values.
- A plot which simply shows points $(x_i, y_i)$ to help discern patterns between a variable $X$ and $Y$.
- In a sample, the value with the greatest frequency.
- The value $(x-\mu)/\sigma$ corresponding to a raw value $x$.
- In ordinary regression, the value computed by $\overline{y}- b \overline{x}$.
- The probability of commiting a type I error.
- The probability of obtaining at least an extreme value as the test statistic observed.
- A statement that there is no difference between parameters of two populations.
- In ordinary regression, the value computed by $\frac{n\sum xy -\sum x\sum y}{n\sum x^2 -(\sum x)^2}$
- The type of error commited when failing to reject the null hypothesis when in fact it is False.
- A french mathematician who lived in England who was the first to apply the normal curve equation.
- A bell shaped, symmetric continuous distribution also called gaussian distribution.
- The discrete distirbution which describes the probability of success of a single event.
- A continuous bell shaped distribution which arises when the standard deviation of the population is not known.
- The discrete distribution which describes rare events like deaths due to kick of horses.
- The distribution which describes the number of having babies until a boy appears.
Most of the answers are found in the following Word Bank:
p-value, significance level, scatterplot, boxplot, correlation coefficient, mode, z-score, intercept, beta coefficient, slope, Null hypothesis, Type II error, degree of freedom,Legendre, de Moivre, Normal distribution curve, t-distribution, Bernoulli distribution, Poisson distribution, geometric distribuition
Answers to be published on April 8, 2010 in this blog entry page.
Care to comment? The latex renderer looks ok now...
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