Directions:
Shown below are two sets of mathematical statements. Use these to answer
the questions that follow
y> 2x+1
y = 2x + 1
3x + 4y = 15
10 - 5y = 7x
3x + 4y < 15
10 - 5y 2 7x
y = 6x +12
9y - 8 = 4x
y s 6x + 12
9y -8 < 4x
1.
2.
3.
4.
5.
How do you describe the mathematical statements in each set?
What do you call the left member and the right member of each
mathematical statement?
How do you differentiate 2x + 1 from y = 2x + 1? How about 9y - 8
and Oy - 8 = 47?
How would you differentiate mathematical expressions from
mathematical equations?
Give at least three examples of mathematical expressions and
mathematical equations.
Compare the two sets of mathematical statements. What statements
can you make?
Which of the given sets is the set of mathematical equations? How
about the set of inequalities?
How do you differentiate mathematical equations from inequalities?
Give at least three examples of mathematical equations and
inequalities.
6.
7.
8.
9.

i am thinking c. sorry if im wrong .

step-by-step explanation:

d. 24+-0.114

step-by-step explanation:

the question requires us to calculate the approximate 95% confidence interval for the mean number of ounces of ketchup per bottle in the sample given the following statistics;

sample mean = 24

standard deviation, σ = 0.4

sample size , n = 49

the confidence interval for a population mean is calculated using the formula;

sample mean ± z-score*(σ/sqrt(n))

the z-score associated with a 95% confidence interval, from the standard normal tables, is;

1.96

substituting these values into the formula;

24 ± 1.96*(0.4/7)

= 24 ± 0.112

from the alternatives given, choice d is closest to the above expression;

it is x equals 3   plese mark me really need it

step-by-step explanation:

answer:   35 % is the probability of a late departure or an early arrival.

step-by-step explanation:

let l represents the late departure and e represents the early departure.

then, according to the question,

p(l) = 12 %,   p(e) = 27 % and = 4 %

and, we have to find out,

but, we know that,

which is the required equation that will use to find the probability of a late departure or an early departure.

therefore,   the probability of a late departure or an early arrival =   35 %