K lol ahhahahahahaahha

Please help! 45 points. Serious, explained answers only :)

Sonbull [250]

Each loop is of a different size, so we can't rotate the figure some angle x to have it line up with itself (0 < x < 360). Therefore, it doesn't have any rotational symmetry. That rules out choice A and choice C. Point symmetry is the same as saying "rotational symmetry of 180 degrees"

The figure doesn't have any line symmetry either. There is no line we can draw and reflect the figure over to have it match up with itself. That rules out choice B and points to choice D

Answer: D) It has no reflectional symmetry.

7 0

3 years ago

You go to a restaurant with 3 friends the total bill is 90 you pay 6% tax and add 20% tip what do you pay

vagabundo [1.1K]

The total bill (before tax and tip) = $90

Tax = 6% = 0.06

0.06 x $90 = $5.4

Tip = 20% = 0.20

0.20 x $90 = $18

$90 + $18 + $5.4 = $113.4 (Answer)

7 0

3 years ago

Read 2 more answers

The graph shows the solution to the initial value problem y'(t)=mt, y(t0)= -4

Charra [1.4K]

$y'(t)=mt
\\
\\ y=\int {mt} \, dt=m \int{t} \,dt=m \frac{t^2}{2} +C \\ \\y= \frac{mt^2}{2}+C$

Now find equation of the graph. It passes through the point (2,3), and intersects y-axis at -2.

$y=at^2+b
\\
\\3=a\times 2^2-2
\\
\\3=4a-2
\\
\\5=4a
\\
\\a= \frac{5}{4} 
\\
\\y=\frac{5}{4} t^2-2 \\ \\y= \frac{m}{2} t^2+C
\\ \\ \frac{m}{2} = \frac{5}{4} 
\\
\\m= \frac{5}{2} 
\\
\\C=-2
\\
\\y(t_0)=-4
\\
\\-4= \frac{5}{4} t_0^2-2
\\
\\ -2= \frac{5}{4} t_0^2
\\
\\ t_0^2=- \frac{8}{5} 
\\
\\t_0=\pm \sqrt{- \frac{8}{5} }$

3 0

4 years ago

Jumbo eggs in Australia, on average, are supposed to weigh 68g. Margot is in charge of a quality control test that involves weig

Andrej [43]

Answer:

0.9987 = 99.87% probability that the mean weight of 4 eggs in a package is less than 68.5g

Step-by-step explanation:

To solve this question, we use the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .