Answer:
Complete the following statements. In general, 50% of the values in a data set lie at or below the median. 75% of the values in a data set lie at or below the third quartile (Q3). If a sample consists of 500 test scores, of them 0.5*500 = 250 would be at or below the median. If a sample consists of 500 test scores, of them 0.75*500 = 375 would be at or above the first quartile (Q1).
Step-by-step explanation:
The median separates the upper half from the lower half of a set. So 50% of the values in a data set lie at or below the median, and 50% lie at or above the median.
The first quartile(Q1) separates the lower 25% from the upper 75% of a set. So 25% of the values in a data set lie at or below the first quartile, and 75% of the values in a data set lie at or above the first quartile.
The third quartile(Q3) separates the lower 75% from the upper 25% of a set. So 75% of the values in a data set lie at or below the third quartile, and 25% of the values in a data set lie at or the third quartile.
The answer is:
Complete the following statements. In general, 50% of the values in a data set lie at or below the median. 75% of the values in a data set lie at or below the third quartile (Q3). If a sample consists of 500 test scores, of them 0.5*500 = 250 would be at or below the median. If a sample consists of 500 test scores, of them 0.75*500 = 375 would be at or above the first quartile (Q1).
Answer:
120 %.
Step-by-step explanation:
That is (1032 * 100) / 860 %
= 120 %
A. The number of 10-boards Peter bought is equal to n divided by 10. Then, each of the 10-boxes will get two boxes of nails. The number of boxes of nails that Peter will have after buying n boards will be,
N = (2)(n/10)
Simplifying,
<em> N = n/5</em>
b. If the number of boards are 90 then,
N2 = (90/10)(2)(100 nails/box)
N2 = 1800
Answer: 1800
Answer:
1)
Number of new subscribers divided by number of posts.
Number of new subscribers divided by number of words.
2)
No. The definition have opposite results
Step-by-step explanation:
Khan academy said it was right tehee
The appropriate statistical procedure to use here is a two-tailed hypothesis test for the population mean
What is standard deviation?
- The term "standard deviation" (or "σ") refers to a measurement of the data's dispersion from the mean.
- A low standard deviation implies that the data are grouped around the mean, whereas a large standard deviation shows that the data are more dispersed.
Explanation:
- Since we are interested in comparing here the mean heart rate for Canadians who participated in this fitness program, to that of the national average,
- We have to have to conduct a hypothesis test here for sample mean
- Since we are not trying to find the true population mean based on the sample mean, we do not have to construct a confidence interval
- As the sample size, n = 26 < 30,therefore we will use the t-test instead of the z-test.
Therefore, A one-sample t-test for means' is the correct choice.
To know more about sample-test check below link:
brainly.com/question/24466382
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