Answer:
Look at Step by Step
Step-by-step explaination
All you need to do is find the frequency of the test scores.
70 = 2 dots
75 = 0
80 = 3 dots because there are 3 students that got a 80 %
85 = 3 dots because there are 3 students that got a 80 %
90 = 4 dots because there are 4 students that got a 90 %
95 = 3 dots
100+ = 0 dots
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.
To learn more about confidence intervals visit:
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Answer:
C. 9x + 224.36 ≥ 759.84
Step-by-step explanation:
If each team member raises x dollars, the 9 team members will have raised 9x dollars. That amount added to the amount they already have must equal or exceed the amount required:
9x + 224.36 ≥ 759.84 . . . . matches selection C
Population: All high school students. We're interested in the health of <em>all</em> of them, that's our population.
Sample: Athletes who were surveyed. Our sample is where we got our actual data.
