50%
z = ±0.44
In a normal distribution half (50%) of the distribution falls below (to the left of) the mean.
The answer will depend on what the distribution is. Non-statisticians often assum that the variable that they are interested in follows the Standard Normal distribution. This assumption must be justified. If that is the case then the answer is 81.9%
0.2533
Not possible to tell you without knowing how many students' there are, and what distribution you wish to use (i.e normal distribution, t-distribution etc...)
25 percent
It depends whether or not the observations are independent and on the distribution of the variable that is being measured or the sample size. You cannot simply assume that the observations are independent and that the distribution is Gaussian (Normal).
Yes. The prefix "quart" is derived from the word for 4, so quartile always means splitting the data into 4 sections, ie. 25%, 50%, 75%, 100%.
It depends on the underlying distribution.
the gender distribution is 77 percent men and 25 percent women
In a standard distribution, the first quartile (Q1) represents the 25th percentile of the data. This means that 25% of the data falls below Q1, and consequently, 75% of the data falls above Q1. Therefore, 75% of the data is above Q1.
z = 1.75
It is the value of the variable such that 40 percent of observations are smaller and 60 percent are larger.
150 feet
A range of data is split into 4 parts.0-25%25-50%50-75%75%-100%being above the 25% quartile means that 25% of all tested or categorized subjects are below the person in question.
Rank them from highest to lowest. The lowest 25 percent of them represent the bottom quartile. Let's say you have the following data set: 1, 8, 2, 7, 3, 6, 4, 5 Rank them thus: 1, 2, 3, 4, 5, 6, 7, 8 Twenty-five percent of eight (the number of data points) is two. Therefore, the bottom two data points (1 and 2) represent the bottom quartile.
z = ±0.44