Lisa F. Peters
... 6. For each of the following situations, calculate the z-statistic (z), make a decision about the null hypothesis (reject, do not reject), and indicate the level of significance (p > .05,p < .05, p < .01). a. b. c. d. 10. In the GRE test example (Exercise 9), what if it was believed that the only po ...
... 6. For each of the following situations, calculate the z-statistic (z), make a decision about the null hypothesis (reject, do not reject), and indicate the level of significance (p > .05,p < .05, p < .01). a. b. c. d. 10. In the GRE test example (Exercise 9), what if it was believed that the only po ...
Final exam Review (retesting for the last two tests – Statistics)
... Give an example of an r value that is strongly, but negatively correlated. ...
... Give an example of an r value that is strongly, but negatively correlated. ...
Shavelson (chapters 5-12)
... given population. That is, it describes the characteristics of the distribution of values we would obtain if we were able to draw an infinite number of random samples of a given size from a given population and we calculated the mean of each sample. The Central Limit Theorem consists of three statem ...
... given population. That is, it describes the characteristics of the distribution of values we would obtain if we were able to draw an infinite number of random samples of a given size from a given population and we calculated the mean of each sample. The Central Limit Theorem consists of three statem ...
Hand-span Measurements 1. Get a ruler and measure your hand-span
... data deviate from the mean. 1. Get a ruler and measure your hand-span (the distance from the tip of your thumb to the tip of your little finger when you spread your fingers). Measure to the nearest half-centimeter. 2. For your group of four people, record the hand spans of all me ...
... data deviate from the mean. 1. Get a ruler and measure your hand-span (the distance from the tip of your thumb to the tip of your little finger when you spread your fingers). Measure to the nearest half-centimeter. 2. For your group of four people, record the hand spans of all me ...
Confidence intervals - CSI Math Department
... It is claimed that the assumption of a normally distributed population can be relaxed, as long as the parent distribution is not too skewed. That is, the assumptions are robust to small differences in the population. You can verify this by checking if the number of CIs that miss is dramatically diff ...
... It is claimed that the assumption of a normally distributed population can be relaxed, as long as the parent distribution is not too skewed. That is, the assumptions are robust to small differences in the population. You can verify this by checking if the number of CIs that miss is dramatically diff ...
Lecture 4 Prob Contd
... The vertical scale on the population histograms gets reset so that the area of a bar over an interval is the population proportion in that interval. With this rescaling, probabilities are obtained by summing areas of bars. A conceptually similar process,, but one which is easier to visualize, is to ...
... The vertical scale on the population histograms gets reset so that the area of a bar over an interval is the population proportion in that interval. With this rescaling, probabilities are obtained by summing areas of bars. A conceptually similar process,, but one which is easier to visualize, is to ...
Document
... The management of a chain of stores wanted to determine whether advertising (廣告) tended to increase its sales of women’s shoes. To do so, management determined the number of shoe sales at six stores during a two-week period. While there were no advertisements in the first week, advertising was begun ...
... The management of a chain of stores wanted to determine whether advertising (廣告) tended to increase its sales of women’s shoes. To do so, management determined the number of shoe sales at six stores during a two-week period. While there were no advertisements in the first week, advertising was begun ...
s - Mrs. Denney
... from 73 home runs to 100 home runs. How is the mean affected? The median? How do the mean and median compare to each other in a symmetric distribution? In a (uni-modal) skewed right distribution? In a (uni-modal) skewed left distribution? ...
... from 73 home runs to 100 home runs. How is the mean affected? The median? How do the mean and median compare to each other in a symmetric distribution? In a (uni-modal) skewed right distribution? In a (uni-modal) skewed left distribution? ...
الشريحة 1
... and if we have 1000 values, the range will consider 2 values and neglect the other 998 values), and these two values considered by the range are the two extreme values (smallest and the largest values) which are not of that high interest in biostatistics to describe perfectly the variation. The use ...
... and if we have 1000 values, the range will consider 2 values and neglect the other 998 values), and these two values considered by the range are the two extreme values (smallest and the largest values) which are not of that high interest in biostatistics to describe perfectly the variation. The use ...
Steps in Hypothesis Testing
... 5. If [F > F (page = /2, column=n1-1, row = n2-1)] or [Pvalue < ], reject H0; that is, assume variances are not equal. If you don’t reject H0, assume the variances are equal. ...
... 5. If [F > F (page = /2, column=n1-1, row = n2-1)] or [Pvalue < ], reject H0; that is, assume variances are not equal. If you don’t reject H0, assume the variances are equal. ...