<span>a) Visual Rhetoric. Logos means creating a symbol for some fixed thing. Pathos is related to evoking pity or sadness. Both these are clearly can't be the answer. Visual Rhetoric means using visual images to communicate meaning. This includes using visual design to make an argument. So this should be the answer.</span>
Answer:
87 times as the dice has 3even numbers and 3 odd numbers so chance is 50% so half of 174 is 87.....times
Step-by-step explanation: hope this helps
Answer:
12 floors
Step-by-step explanation:
middle +3 floors= +3 .
+3 - 5 = -2.
-2 + 6= +4.
+4 - 10 = 6 x 2 = answer 12
to clarify the plus or minus mean how many floors he is above or below the middle floor
Let length, l=8 mm.
Braedth, b=2 mm.
The perimeter of the rectangle is,

Therefore, the perimeter of the rectangle is 20 mm^2.
Answer:
(0.55, 0.75)
Step-by-step explanation:
The standard deviation and range are both used to measure the spread of a data set. The number of the range and standard deviation gives us information in its own way how spaced out the data are due to the fact that they are both a measure of variation. However, there is not an explicit relationship between the range and standard deviation, there is a rule of thumb that can be useful to relate these two statistics. This relationship is sometimes referred to as the range rule for standard deviation.
The range is estimated to be 6 standard deviations wide. Therefore, the standard deviation is:
Standard deviation= maximum sample proportion - minimum sample proportion / 6
σ = (0.72 - 0.42) / 6
σ = 0.05
The margin of error is defined as a statistic showing the amount of random sampling error in the result of a survey. The greater the margin of error, the lesser the confidence that a poll result would reflect the result of a survey of the entire population.
Here, the margin of error is ±2σ, so:
ME = ±0.10
Interval estimation in statistics is the use of sample data to compute an interval of possible values of an unknown population parameter. This is therefore in contrast to point estimation, which gives a single value.
Therefore, the interval estimate is:
(0.65 - 0.10, 0.65 + 0.10)
(0.55, 0.75)