User manual CASIO FX-9860G SD

[. . . ] E fx-9860G SD fx-9860G User's Guide http://world. casio. com/edu/ GUIDELINES LAID DOWN BY FCC RULES FOR USE OF THE UNIT IN THE U. S. A. (not applicable to other areas). NOTICE This equipment has been tested and found to comply with the limits for a Class B digital device, pursuant to Part 15 of the FCC Rules. These limits are designed to provide reasonable protection against harmful interference in a residential installation. This equipment generates, uses and can radiate radio frequency energy and, if not installed and used in accordance with the instructions, may cause harmful interference to radio communications. [. . . ] MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . F value p-value degrees of freedom sum of squares mean squares With Two-Way ANOVA, you can draw Interaction Plot graphs. The number of graphs depends on Factor B, while the number of X-axis data depends on the Factor A. You can use the following graph analysis function after drawing a graph. Trace function Pressing d or e moves the pointer on the graph in the corresponding direction. When there are multiple graphs, you can move between graphs by pressing f and c. Press J to clear the pointer from the display. # Graphing is available with Two-Way ANOVA only. V-Window settings are performed automatically, regardless of Setup screen settings. 20050401 # Using the Trace function automatically stores the number of conditions to alpha variable A and the mean value to variable M, respectively. 6-5-24 Tests k ANOVA (Two-Way) u Description The nearby table shows measurement results for a metal product produced by a heat treatment process based on two treatment levels: time (A) and temperature (B). The experiments were repeated twice each under identical conditions. B (Heat Treatment Temperature) A (Time) A1 A2 B1 113 , 133 , B2 116 139 , 131 126 , 132 122 Perform analysis of variance on the following null hypothesis, using a significance level of 5%. Ho : No change in strength due to time Ho : No change in strength due to heat treatment temperature Ho : No change in strength due to interaction of time and heat treatment temperature u Solution Use two-way ANOVA to test the above hypothesis. List1={1, 1, 1, 1, 2, 2, 2, 2 } List2={1, 1, 2, 2, 1, 1, 2, 2 } List3={113, 116, 139, 132, 133, 131, 126, 122} Define List 3 (the data for each group) as Dependent. Define List 1 and List 2 (the factor numbers for each data item in List 3) as Factor A and Factor B respectively. · Time differential (A) level of significance P = 0. 2458019517 The level of significance (p = 0. 2458019517) is greater than the significance level (0. 05), so the hypothesis is not rejected. · Temperature differential (B) level of significance P = 0. 04222398836 The level of significance (p = 0. 04222398836) is less than the significance level (0. 05), so the hypothesis is rejected. · Interaction (A × B) level of significance P = 2. 78169946e-3 The level of significance (p = 2. 78169946e-3) is less than the significance level (0. 05), so the hypothesis is rejected. The above test indicates that the time differential is not significant, the temperature differential is significant, and interaction is highly significant. 20050401 6-5-25 Tests u Input Example u Results 20050401 6-6-1 Confidence Interval 6-6 Confidence Interval A confidence interval is a range (interval) that includes a statistical value, usually the population mean. A confidence interval that is too broad makes it difficult to get an idea of where the population value (true value) is located. A narrow confidence interval, on the other hand, limits the population value and makes it difficult to obtain reliable results. Raising the confidence level broadens the confidence interval, while lowering the confidence level narrows the confidence level, but it also increases the chance of accidently overlooking the population value. With a 95% confidence interval, for example, the population value is not included within the resulting intervals 5% of the time. When you plan to conduct a survey and then t test and Z test the data, you must also consider the sample size, confidence interval width, and confidence level. 1-Sample Z Interval calculates the confidence interval for an unknown population mean when the population standard deviation is known. 2-Sample Z Interval calculates the confidence interval for the difference between two population means when the population standard deviations of two samples are known. [. . . ] Doing so can cause memory data to be deleted and malfunction of the calculator. If mishandling of batteries causes such problems, correctly load batteries and then perform the RESET operation to resume normal operation. · Be sure to replace all four batteries with new ones. 20050401 -6-3 Power Supply 1. · Be sure to turn the calculator off before replacing batteries. [. . . ]