Equation: y = 3/2x - 6 1/2, or y = 1.5 - 6.5
If this line is given to have a slope of 3/2, let us at least put it in standard form, substituting the point ( 7, 4 ) into the equation afterwards:
y = 3/2* x + b, provided b ⇒ y - intercept,
( 4 ) = 3/2 * ( 7 ) + b,
4 = 21/2 + b,
b = 4 - 10.5,
b = -6.5
Equation: y = 3/2x - 6 1/2, or y = 1.5 - 6.5
Answer:
symmetric property
Step-by-step explanation:
with symmetric property if x=y then both values on either side of the equal sign will be equal
Using the continuity concept, it is found that the function is continuous for all real values.
<h3>What is the continuity concept?</h3>
A function f(x) is continuous at x = a if it is defined at x = a, and:

In this problem, we are given a piece-wise function, hence we have to look at the points where the definition of the function changes. In this problem, it can only be discontinuous at x = 0, which we have to verify.
Then:
.
.
.
The 3 values are equal, hence the function is continuous at x = 0 and for all real values.
More can be learned about the continuity of a function at brainly.com/question/24637240
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Answer:
We are given that she ordered a hot drink:
Customers that ordered a hot drink 5 + 48 + 22 = 75
THEN we are told it was a medium (medium hot = 48)
So the probability = 48 / 75 = .64
Step-by-step explanation:
Answer:
a. Describing a sample with mean and standard deviation.
Step-by-step explanation:
Statistics can be categorized into descriptive and inferential statistics.
descriptive statistics uses data for descriptions through numerical analysis. It can be further divided in four parts.
- Measures of Central Tendency ( Mean, Median, and Mode)
- Measures of Frequency (Count, Percent, Frequency)
- Measures of Position (Percentile Ranks, Quartile Ranks.)
- Measures of Dispersion ( Range, Standard Deviation)
Inferential statistics however is based on assumptions and conclusions and generalizations drawn from samples or checks.
options b to d are all examples of inferential statistics while option a is an example of descriptive statistics.