Answer:
1. Use the distance formula to measure the lengths of the sides.
3. Use the slope to check whether sides are perpendicular and form right angles.
5. Use the slope to check whether the diagonals are perpendicular to each.
Step-by-step explanation:
We know that, the distance formula given by
,
gives the length of the line joined by and .
Now, after using this formula, if:
1. The length of the opposite sides are equal, then the quadrilateral could be a rectangle or a parallelogram.
2. The length of all sides are equal, then the quadrilateral could be a square or a rhombus.
So, this gives us option 'Use the distance formula to measure the lengths of the sides' is correct.
Now, we use slope to find the angles i.e. If:
1. The product of two slopes is -1, then the lines are perpendicular and so, forms right angle between them.
2. The slope of two lines are equal, then the lines are parallel.
So, this gives us that the option 'Use the slope to check whether sides are perpendicular and form right angles' is correct.
Since, some quadrilaterals have the property that the diagonals are perpendicular bisector of each other.
So, the option 'Use the slope to check whether the diagonals are perpendicular to each other' is also correct.
Hence, option 1, 3 and 5 are correct.
Using a limited selection from among the options, a quadrilateral, or
triangle can be classified into one of the eleven classes.
The correct options are;
Reasons:
The classification of triangles are;
Right triangles; Having two legs that are perpendicular
Isosceles triangles; Having two sides equal
Equilateral triangles; Having all sides equal
Scalene triangle; Have all sides of different dimensions
Classification of quadrilaterals are;
Kite, rhombus, rectangle, parallelogram, square, trapezoid, isosceles trapezoid
Use the distance formula to measure the lengths of the sides;
Use the slope to determine whether the sides are perpendicular and form right angles;
Use the slope to check whether the diagonals are perpendicular;
Learn more about slope, distance formula, triangles and quadrilaterals here:
y = x⁴ +4x³ +4x² +4x +3
The coefficients of the offered quartics (in order) have 1, 1, 1, and 0 sign changes, respectively. Descartes' rule of signs tells you this means the first three choices all have one (1) positive real root, so the negative real roots -1 and -3 are not the only ones.
The only possible polynomial is the last one. Synthetic division of that polynomial by roots -1 and -3 leave the remaining factor as x²+1, which has only complex zeros.
The appropriate choice is ...
... y = x⁴ +4x³ +4x² +4x +3
Answer:
We conclude that the population mean is not equal to 17.
Step-by-step explanation:
We are given the following in the question:
Population mean, μ = 17
Sample mean, = 14.12
Sample size, n = 40
Alpha, α = 0.05
Population standard deviation, σ = 4
First, we design the null and the alternate hypothesis
We use Two-tailed z test to perform this hypothesis.
a) Formula:
Putting all the values, we have
b) P-value can be calculated from the standard z-table.
P-value = 0.0000
c) Since the p-value is less than the significance level, we reject the null hypothesis and accept the alternate hypothesis. Thus, the population mean is not equal to 17
d) Now,
e) Rejection Rule:
We reject the null hypothesis if it is less than lower critical value and greater than the upper critical value
If the z-statistic lies outside the acceptance region which is from -1.96 to +1.96, we reject the null hypothesis.
f) Since the calculated z-stat lies outside the acceptance region, we reject the null hypothesis and accept the alternate hypothesis. Thus, the population mean is not equal to 17.
The test statistic is -1.78 and the p-value is 0.0761, indicating that we fail to reject the null hypothesis. Therefore, it cannot be concluded that the population mean is not equal to 17.
The test statistic can be calculated using the formula:
test statistic = (sample mean - population mean) / (population standard deviation / sqrt(sample size))
Plugging in the given values, we get:
test statistic = (14.12 - 17) / (4 / sqrt(40))
Calculating this gives us a test statistic value of -1.78.
The p-value can be calculated using the test statistic. We need to find the probability that a test statistic at least as extreme as -1.78 would occur assuming the null hypothesis is true. Using a standard normal distribution table or software, we find the p-value to be approximately 0.0761.
Since the p-value is greater than the significance level (alpha = 0.05), we fail to reject the null hypothesis. Therefore, we can conclude that there is not enough evidence to suggest that the population mean is not equal to 17.
#SPJ11
For A to B, or segment AB, we have the points (1,1) and (4,3). (x1, y1) = (1,1) and (x2, y2) = (4,3);
x = 1 + t(4 - 1)
y = 1 + t(3 - 1)
A to B => (x = 1 + 3t, y = 1 + 2t)
We can apply a similar process for BC and AC. For BC we have (x1, y1) = (4,3) and (x2,y2) = (1,7);
x = 4 + t(1 - 4)
y = 3 + t(7 - 3)
B to C => (x = 4 - 3t, y = 3 + 4t)
(x1, y1) = (1, 1) and (x2, y2) = (1, 7);
x = 1 + t(1 - 1)
y = 1 + t(7 - 1)
A to C => (x = 1, y = 1 + 6t)
Here is your graph of the triangle. Desmos is a really great tool to use;
Answer: You can buy 5 shirts if you buy 2 pair of pants.
Step-by-step explanation: Just out of curiosity, where do you live? I’m just wondering because I’ve never heard of the AED as a money unit... lol
Answer:
Step-by-step explanation:
Why are you so mean to me