1. Valerie's monthly income is $300 and her monthly expenses are $250. How much money

Is the following acute obtuse or a right triangle

Murrr4er [49]

Answer: Obtuse

Would appreciate brainly <3

6 0

3 years ago

Read 2 more answers

Algebra 2 (picture shown)

TEA [102]

Answer:

Step-by-step explanation:

<u>Exponential Decay Function</u>

The exponential function is used to model natural decaying processes, where the change is proportional to the actual quantity.

An exponential decaying function is expressed as:

$C(t)=C_o\cdot(1-r)^t$

Where:

C(t) is the actual value of the function at time t

Co is the initial value of C at t=0

r is the decaying rate, expressed in decimal

The element has an initial mass of Mo=970 grams, the decaying rate is r=27.7% = 0.277 per minute.

The equation of the model is:

$M(t)=M_o\cdot(1-r)^t$

$M(t)=970\cdot(1-0.277)^t$

Operating:

$M(t)=970\cdot 0.723^t$

After t=13 minutes the remaining mass is:

$M(13)=970\cdot 0.723^{13}$

Calculating:

M(13)=14.3 gram

4 0

3 years ago

PLEASE HELP MAX POINTS ONE OF THE LAST ASSIGNMENTS IN THE SEMESTER, I HAVE 4 HOURS TO FINISH MY HOMEWORK

kirill [66]

Answer:

Two angles are called complementary if their measures add to 90 degrees, and called supplementary if their measures add to 180 degrees. ... For example, a 50-degree angle and a 40-degree angle are complementary; a 60-degree angle and a 120-degree angle are supplementary

4 0

3 years ago

Convert 13 weeks to seconds.

dimaraw [331]

The value of 13 weeks in seconds is 7862400 seconds

<h3>Conversion of weeks to seconds</h3>

In order to convert weeks to seconds, we will use the following conversion factor

1week = 7 days

13weeks = 91days

<u>Convert days to hours</u>

Since 24 hours = 1 day, then;

91 days = (91*24)

91 days = 2184 hours

Convert hours to seconds

1 hour = 3600secs

Hence 2184 hours = (2184*3600)

2184 hours = 78624000 seconds

Hence the value of 13 weeks in seconds is 7862400 seconds

Learn more on conversion on weeks to seconds here: brainly.com/question/11947673

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8 0

2 years ago

Suppose that the sitting back-to-knee length for a group of adults has a normal distribution with a mean of mu equals 24.4 in.

solong [7]

Answer:

$P(X \geq 26.6) = 0.0336$ , which is greater than 0.01. So a back-to-knee length of 26.6 in. is not significantly high.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

$\mu = 24.4, \sigma = 1.2$