In: Statistics and Probability
The following data represent the muzzle velocity (in feet per second) of rounds fired from a 155-mm gun. For each round, two measurements of the velocity were recorded using two different measuring devices, resulting in the following data. Complete parts (a) through (d) below. Observation 1 2 3 4 5 6 A 791.9 794.2 793.6 793.5 790.4 790.3 B 792.1 790.9 796.7 792.3 795.3 788.9 (a) Why are these matched-pairs data? A. All the measurements came from rounds fired from the same gun. B. The same round was fired in every trial. C. The measurements (A and B) are taken by the same instrument. D. Two measurements (A and B) are taken on the same round. Your answer is correct. (b) Is there a difference in the measurement of the muzzle velocity between device A and device B at the alpha equals 0.01 level of significance? Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. Let diequalsAiminusBi. Identify the null and alternative hypotheses. Upper H 0: mu Subscript d equals 0 Upper H 1: mu Subscript d not equals 0 Determine the test statistic for this hypothesis test. t0equals nothing (Round to two decimal places as needed.)
Need P-Value
Conclusion regarding H0
Conducting a 99% confidence interval for lower and upper bound
Interpret the confidence interval
Draw a boxplot and tell the visual evidence to support it. I need the answers for these as well please.
Observation | A | B | di= A - B | di- d_bar | (di- d_bar)^2 |
1 | 791.9 | 792.1 | -0.2 | 0.18 | 0.0324 |
2 | 794.2 | 790.9 | 3.3 | 3.68 | 13.5424 |
3 | 793.6 | 796.7 | -3.1 | -2.72 | 7.3984 |
4 | 793.5 | 792.3 | 1.2 | 1.58 | 2.4964 |
5 | 790.4 | 795.3 | -4.9 | -4.52 | 20.4304 |
6 | 790.3 | 788.9 | 1.4 | 1.78 | 3.1684 |
SUM= | -2.3 | 47.0684 | |||
MEAN= | -0.38 |
We are 99 % confident that the true population mean of difference lies between -5.4304 and 4.6704
BOXPLOT: