Answer: 14.48000 . . . ≤ t < 15.0000
Step-by-step explanation:
"Truncated by a hundreths of a second" means that the time was rounded to the nearest 0.0X second. That would mean the reported time of 14.48 seconds was shortened from a time period having more digits to the right. For example, If the time were actually 14.48223 seconds, the time was truncated to just 14.48 seconds. The term used here. truncated, means that the digits after the hunredth place are simply dropped. It doesn't say rounded, just truncated. Brutal. So that would mean that times between 14.48000 . . . and 14.48999 . . . would all be reported as 14.48 seconds.
So the time could actually be 14.48000 . . . ≤ t < 15.0000
Answer:

Step-by-step explanation:

Using this rule we have:

Answer:
There is a 95% confidence that the true mean height of all male student at the large college is between the interval (63.5, 74.4).
Step-by-step explanation:
The (1 - <em>α</em>)% confidence interval for population mean is:

The (1 - α)% confidence interval for population parameter implies that there is a (1 - α) probability that the true value of the parameter is included in the interval.
Or, the (1 - α)% confidence interval for the parameter implies that there is (1 - α)% confidence or certainty that the true parameter value is contained in the interval.
The 95% confidence interval for the average height of male students at a large college is, (63.5 inches, 74.4 inches).
The 95% confidence interval for the average height of male students (63.5, 74.4) implies that, there is a 0.95 probability that the true mean height of all male student at the large college is between the interval (63.5, 74.4).
Or, there is a 95% confidence that the true mean height of all male student at the large college is between the interval (63.5, 74.4).
Answer:
x=2.7
Step-by-step explanation:
27 divided by 5 = 5.4 and 5.4 divided by 2 = 2.7
Circumference=2pir=<span>2∗3.14∗5.1</span><span>=30.028=30.03.</span>