A scientist measured the speed of light. His values are in km/sec and have 299,000 subtracted from them. He reported the results of trials with a mean of and a standard deviation of 30 trials with a mean of 756.22 and a standard deviation of 117.63.
a) Find a 98% confidence interval for the true speed of light from these statistics.
b) In words, what this interval means. Keep in mind that the speed of light is a physical constant that, as far as we know, has a value that is true throughout the universe
c) What assumptions must you make in order to use your method?
a) A 98% confidence interval for the true speed of light is (_____________kn/sec.,___________km/sec)(Round to two decimal places as needed.)
b) In words, what does the 98% confidence interval mean?
A. For all samples, 98% of them will have a mean speed of light that falls within the confidence interval.
B. Any measurement of the speed of light will fall within this interval 98% of the time.
C. With 98% confidence, based on these data, the speed of light is between the lower and upper bounds of the confidence interval.
D. The confidence interval contains the true speed of light 98% of the time.
c) What assumptions must you make in order to use your method? Select all that apply.
A. The sample is drawn from a large population.
B. The data come from a distribution that is nearly normal.
C. The data came from a distribution that is nearly uniform.
D. The measurements are independent.
E. The measurements arise from a random sample or suitabily randomized experiment.
Given :
Sample size = n = 30
Sample mean = = 756.22
Standard deviation = s =117.63
Significance level = = 1-0.98 = 0.02
Degree of freedom = df = n-1 = 30-1 = 29
At 0.02 significance level, the critical value of t is
b) It is given that
A scientist measured the speed of light. His values are in km/sec and have 299,000 subtracted from them.
Speed of light = 3×10^-8 m/s = 299792 Km/sec.
So 299792 - 299000 = 792
The confidence interval contains the true speed of light 98% of the time.
The data come from a distribution that is nearly normal.
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