1answer.
Ask question
Login Signup
Ask question
All categories
  • English
  • Mathematics
  • Social Studies
  • Business
  • History
  • Health
  • Geography
  • Biology
  • Physics
  • Chemistry
  • Computers and Technology
  • Arts
  • World Languages
  • Spanish
  • French
  • German
  • Advanced Placement (AP)
  • SAT
  • Medicine
  • Law
  • Engineering
Sindrei [870]
3 years ago
6

The measure of L in triangle LMN is 36°. The measure of M is 75°. What is the measure of N? PLEASE HELP

Mathematics
1 answer:
Alekssandra [29.7K]3 years ago
4 0

Answer:

C.    m∠N = 69°

Step-by-step explanation:

The sum of the measures of the angles of a triangle is 180.

m∠L + m∠M + m∠N = 180

36 + 75 + m∠N = 180

111 + m∠N = 180

m∠N = 69°

You might be interested in
a question on a test asks students to find the speed at which a car travels. The graph shows a proportional relationship between
gayaneshka [121]

Answer:

The speed of the car is 250. The error the student made is they didn't look at the hours.

Step-by-step explanation:

8 0
2 years ago
Can someone please help??<br> Picture is below
lana [24]

Answer: 24

Step-by-step explanation:

all you have to do is 8x4=24. :) ur welcome

7 0
2 years ago
Read 2 more answers
A sample of 5 buttons is randomly selected and the following diameters are measured in inches. Give a point estimate for the pop
Helen [10]

Answer:

s^2 = \frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}

But we need to calculate the mean with the following formula:

\bar X = \frac{\sum_{i=1}^n X_I}{n}

And replacing we got:

\bar X = \frac{ 1.04+1.00+1.13+1.08+1.11}{5}= 1.072

And for the sample variance we have:

s^2 = \frac{(1.04-1.072)^2 +(1.00-1.072)^2 +(1.13-1.072)^2 +(1.08-1.072)^2 +(1.11-1.072)^2}{5-1}= 0.00277\ approx 0.003

And thi is the best estimator for the population variance since is an unbiased estimator od the population variance \sigma^2

E(s^2) = \sigma^2

Step-by-step explanation:

For this case we have the following data:

1.04,1.00,1.13,1.08,1.11

And in order to estimate the population variance we can use the sample variance formula:

s^2 = \frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}

But we need to calculate the mean with the following formula:

\bar X = \frac{\sum_{i=1}^n X_I}{n}

And replacing we got:

\bar X = \frac{ 1.04+1.00+1.13+1.08+1.11}{5}= 1.072

And for the sample variance we have:

s^2 = \frac{(1.04-1.072)^2 +(1.00-1.072)^2 +(1.13-1.072)^2 +(1.08-1.072)^2 +(1.11-1.072)^2}{5-1}= 0.00277\ approx 0.003

And thi is the best estimator for the population variance since is an unbiased estimator od the population variance \sigma^2

E(s^2) = \sigma^2

3 0
3 years ago
The estimated difference between two numbers is 60. Find two numbers that when rounded to the nearest ten, have a difference of
Verdich [7]

Answer:

128 and 74.

Step-by-step explanation:

128 rounded to the nearest ten is 130, and 74 rounded to the nearest ten is 70. 130-70=60

7 0
3 years ago
Chip work at the animal shelter for 6 hours each week for several weeks he worked for a total of 42 hours which of the following
sasho [114]
7 weeks. You have to divide 42 and 6.
8 0
3 years ago
Read 2 more answers
Other questions:
  • Domain of the function
    12·1 answer
  • Factor using given common factor. Assume all variables represent real positive numbers. (Y^-5)-(3y^-3); y^-5
    6·1 answer
  • X^2/16 + y^2/25 =1 The length of the major axis is: 5 10 25
    12·1 answer
  • Find the zeros of the polynomial function f(x)=x^4-5x^3+11x^2-25x+30
    12·1 answer
  • Q #14 please help to solve
    15·1 answer
  • Please help....................​
    9·1 answer
  • Every female chicken lays 4 eggs. What is the constant of proportionality for the ratio of eggs to female chickens?
    13·1 answer
  • Ca someone plzzz help me with this problem?
    12·1 answer
  • Help me please I will give point to all
    7·1 answer
  • Logan calculated the mean absolute deviation of the points he earned throughout the year in four of his classes: geography, math
    8·1 answer
Add answer
Login
Not registered? Fast signup
Signup
Login Signup
Ask question!