The statement that 99% of all confidence intervals with a 99% confidence level should contain the population parameter of interest is false.
A confidence interval (CI) is essentially a range of estimates for an unknown parameter in frequentist statistics. The most frequent confidence level is 95%, but other levels, such 90% or 99%, are infrequently used for generating confidence intervals.
The confidence level is a measurement of the proportion of long-term associated CIs that include the parameter's true value. This is closely related to the moment-based estimate approach.
In a straightforward illustration, when the population mean is the quantity that needs to be estimated, the sample mean is a straightforward estimate. The population variance can also be calculated using the sample variance. Using the sample mean and the true mean's probability.
Hence we can generally infer that the given statement is false.
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Answer:
See the answers in the explanation
Step-by-step explanation:
Lin runs for 29 seconds at 7.2 meters per second. What is her finish point?
time= 29 seconds
speed= 7.2 m/s
distance= speed*time
distance= 7.2*29
distance=208.8
m
Elena runs for 26 seconds and finishes at 240 meters. What is her velocity?
time= 26 seconds
distance= 240meters
velocity= distance/time
velocity= 240/26
velocity=9.23 m/s
Diego runs for 33 seconds at -6.1 meters per second. What is his finish point?
time= 33 seconds
velocity
distance=velocity*time
distance=33*6.1
distance= 33*6.1
distance=201.3
m
Andre runs for 38 seconds and finishes at -295 meters. What is his velocity?
time= 38 seconds
distance= 295m
velocity= distance/tim
velocity= 295/38
velocity= 7.76m/s
Multiply 4.51 by 3.4
That's all it is asking you
The answer is 650 because 100 * 5 = 500 and 50 * 3 = 150 and 500 + 150 = 650
Answer:
1+1 = 2
Step-by-step explanation:
