1).
2).
empirical rule |
|
mean - 1s |
7.0355 |
mean + 1s |
11.0813 |
percent in interval (68.26%) |
81.8% |
mean - 2s |
5.0126 |
mean + 2s |
13.1042 |
percent in interval (95.44%) |
97.7% |
mean - 3s |
2.9896 |
mean + 3s |
15.1272 |
percent in interval (99.73%) |
97.7% |
#2 Consider the followi ng sample of 44 observations: 8.9: 12.4: 8.6: 11.3; 9.2; 8.8;8.8; 6.2;...
Consider the following sample of 44 obscrvations: 8.9; 12.4; 8.6; 11.3; 9.2; 8.8; 8.8; 6.2; .07; 7.1; 11.8; 10.7; 7.6;9.1; 9.2; 8.2; 9.0; 8.7;9.1; 10.9; 10.3; 9.6; 7.8; 11.5; 9.3; 7.9; 8.8; 12.7; 8.4; 7.8; 5.7; 10.5; 10.5;9.6; 8.9; 10.2; 10.3; 7.7; 10.6; 8.3; 8.8; 9.5; 8.8; 9.4. 1. Find the mcan and the standard deviation for the data given 2. Calculate the interval for y± ks for k E {1, 2, 3). C ount the number of mcasureents that...
Compute the correlation coefficient, r, for all five variables (columns). Interpret your findings whether you have determined any relationship between variables. X1 X2 X3 X4 X5 The data (X1, X2, X3, X4, X5) are by city. 8 78 284 9.1 109 X1 = death rate per 1000 residents 9.3 68 433 8.7 144 X2 = doctor availability per 100,000 residents 7.5 70 739 7.2 113 X3 = hospital availability per 100,000 residents 8.9 96 1792 8.9 97 X4 = annual...
Compute Regression Analysis for following relationship: The relationship between death rate X1 (USD) vs. population density X5. Population as a Predictor, X, then death rate as a Response variable, Y. Get Regression Output, and Scatter plot between these variables and compute Coefficient of Determination, R2, and Interpret your findings. X1 X2 X3 X4 X5 The data (X1, X2, X3, X4, X5) are by city. 8 78 284 9.1 109 X1 = death rate per 1000 residents 9.3 68 433 8.7 144...
Movie Ratings8.78.97.67.27.28.18.86.88.79.08.57.98.79.19.07.28.47.57.79.09.38.76.99.28.49.29.09.18.98.29.48.38.17.99.18.78.67.88.47.8Movie runtimes201124136155131161110132116136911279612612913512411617012117511818911713610819589881221191161261151531431181291441321) Do you think there is a linear correlation between Movie Ratings and their Runtimes? Explain why or why not before doing any work!2) Is there a linear correlation between the data based on the correlation coefficient? Explain.3) Find the linear regression line and explain what it means in English.4) Perform a hypothesis test at the 5% level of significance to see if a correlation is significant.
To test for any significant difference in the number of hours between breakdowns for four machines, the following data were obtained. Machine 1 Machine 2 Machine 3 Machine 4 6.8 9.1 10.7 9.6 8.1 7.8 9.9 12.7 5.5 9.6 9.3 11.9 7.7 10.5 9.9 10.6 8.7 9.4 8.9 11.2 7.6 10.0 8.9 11.2 Use Fisher's LSD procedure to test for the equality of the means for machines 2 and 4. Use a 0.05 level of significance. Find the value of...
Ms. Blankenship’s tenth grade class is studying the impact of photoperiod on plant growth. Her students fill 100 paper cups with potting soil and a single pea seed. Each cup is randomly assigned to one of four growth chambers. Each of the four growth chambers has an identical artificial light source (25 watts) but each has a different light (L) : dark cycle (D). Chamber 1 is set to 24L : 0D. Chamber 2 is set to 16L : 8D....
The following data represent soil water content (percentage of water by volume) for independent random samples of soil taken from two experimental fields growing bell peppers. Soil water content from field I: x1; n1 = 72 15.2 11.3 10.1 10.8 16.6 8.3 9.1 12.3 9.1 14.3 10.7 16.1 10.2 15.2 8.9 9.5 9.6 11.3 14.0 11.3 15.6 11.2 13.8 9.0 8.4 8.2 12.0 13.9 11.6 16.0 9.6 11.4 8.4 8.0 14.1 10.9 13.2 13.8 14.6 10.2 11.5 13.1 14.7 12.5...
Compute Regression Analysis for following relationship: The relationship between death rate X1 vs. doctor availability X2. Doctor availability as a Predictor X, then death rate as a Response variable Y. Get the Regression Output and scatter plot between the variables using data analysis toolpak in Excel. X1= Death rate per 1000 residents. X2= doctor availability per 100,000 residents. X1 X2 8 78 9.3 68 7.5 70 8.9 96 10.2 74 8.3 111 8.8 77 8.8 168 10.7 82 11.7 89...
The data on the below shows the number of hours a particular drug is in the system of 200 females. Develop a histogram of this data according to the following intervals: Follow the directions. Test the hypothesis that these data are distributed exponentially. Determine the test statistic. Round to two decimal places. (sort the data first) [0, 3) [3, 6) [6, 9) [9, 12) [12, 18) [18, 24) [24, infinity) 34.7 11.8 10 7.8 2.8 20 9.8 20.4 1.2 7.2...
Cyclic Consumer Industrial Full data set 3.7 12.6 48.7 5.4 14.9 - 23.4 23.5 13.2 -4.5 0.2 -7.7 5.9 36.1 45.4 -3.6 1.2 -1.1 2.3 24.4 5.8 42.4 -8.6 14.1 4.5 -17,6 -7.6 45.8 -5.2 3.2 22.6 10.8 -3.7 6.4 - 26.8 38.1 8.4 29.6 36.9 1.1 8,5 18.6 1.5 -17.1 21.5 30.3 20.8 2.7 6.5 17.6 29.5 18.8 13.1 16.7 12.9 -8.8 5.2 - 9.5 1.7 34.6 -4.7 12.7 26.4 -9.2 32.9 36.5 -8.4 -27.8 9.2 33.8 23.1 1.1...