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Private Sub CommandButton1_Click() Changes the XValues and Values to display fewer months Dim TheChart As Chart Dim MySeries As New ChartSeries Set TheChart = ActiveSheet.ChartObjects(1).Chart With MySeries specify the chart .Chart = TheChart specify the series .ChartSeries = 1 make sure the Xvalues is a range If .XValuesType = Range Then make sure at least one point is charted numrows = .XValues.Rows.Count If numrows <> 1 Then _ Set NewRange = .XValues.Resize(numrows - 1, 1) If numrows > 1 Then .XValues = NewRange End If make sure the Values is a range If .ValuesType = Range Then make sure at least one point is charted numrows = .Values.Rows.Count If numrows <> 1 Then _ Set NewRange = .Values.Resize(numrows - 1, 1) If numrows > 1 Then .Values = NewRange End If End With End Sub

To detect failures, sites use a timeout mechanism Local timers are used for this purpose The timer at a site is set to a predetermined time interval The timer at a site starts when the site sends a message The site expects to get a response from a remote site before the timer goes off (expires) For example, when the coordinator sends a command to a slave to execute a transaction, it starts the timer If the coordinator does not hear from the slave before the timer goes off, the coordinator suspects that this slave has failed To make sure, the coordinator sends a message requesting a response from the allegedly failed slave This message is known as a ping similar to the sonar signals submarines use to detect the existence of an external object If there is no response from the slave, the coordinator knows the slave has failed.

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The size of all messages is logarithmic in n Algorithms designed in [6] for both these tasks require a setup phase during which a BFS tree is constructed This phase takes time O((n + D log n)log ) In the second phase messages are pipelined along edges of this.

To be able to recover from a failure, a site must be able to determine its transactions states at the time of the failure after the site is repaired This, as mentioned before, assumes that each site properly writes the necessary records to the site s log for all local transactions Recall that in our transaction model a distributed transaction consists of a set of subtransactions (local transactions), each one of which runs at a local site Each local site runs through the states of the local STD for its transaction That includes the local transaction running at the coordinator site as well as slave sites Without orchestration from the coordinator, the subtransactions of a global transaction could end up in different terminal states of abort and commit.

The coordinator has to make sure that all its local transactions forming the global transaction terminate in either the commit state or in the abort state but not in both states at the same time..

Dr. O is approached by the board of a computer software company that is interested in hiring a company president. They are hoping that Dr. O will be able to conduct a psychological evaluation to determine which of the three top candidates would make the best company president. The board feels that all three candidates are excellent and that a better understanding of the psychological functioning, personality, and character of each person is needed to make the best decision. Dr. O decides to conduct a two-hour interview with each of the three candidates and then ask each to participate in psychological testing. Dr. O decides to use the Rorschach, the MMPI-2, and projective drawings. Based on the testing results, Dr. O recommends one of the candidates as being the most promising company president. Dr. O unethically used testing materials for purposes for which they were not intended. These instruments were neither designed nor validated for personnel selection.

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Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Copenhagen, Denmark: Danish Institute for Educational Research. (Reprinted 1992, Chicago: MESA Press) Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods. Newbury Park, CA: Sage. Riggs, M. L., & Knight, P. A. (1994). The impact of perceived group-success failure on motivational beliefs and attitudes: A causal model. Journal of Applied Psychology, 79, 755 766. Schmidt, F. L., & Hunter, J. E. (1989). Inter-rater reliability coefficients cannot be computed when only one stimulus is rated. Journal of Applied Psychology, 74, 368 370. Schutz, R. W., & Gessaroli, M. E. (1993). Use, misuse, and disuse of psychometrics in sport psychology research. In R. N. Singer, M. Murphey, & L. K. Tennant (Eds.), Handbook of research on sport psychology (pp. 901 917). New York: Macmillan. Smith, E. V. (2000). Metric development and score reporting in Rasch measurement. Journal of Applied Measurement, 1, 303 326. Spink, K. S. (1990a). Collective efficacy in the sport setting. International Journal of Sport Psychology, 21, 380 395. Spink, K. S. (1990b). Group cohesion and collective efficacy of volleyball teams. Journal of Sport and Exercise Psychology, 12, 301 311. Tenenbaum, G., & Fogarty, G. (1998). Application of the Rasch analysis to sport and exercise psychology measurement. In

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