What is the slope of the line through (-7, -8) and (0, 4)?

How many paychecks do you get a year if you're paid semimonthly?

hjlf

Semi --> twice
semimonthly --> occuring twice a month

Thus:
You are paid twice a month

12 months in a year

12 x 2 = 24 paychecks an year

6 0

2 years ago

A bag contains different colored jelly beans. In the bag, there are 5 red jelly

ikadub [295]

Answer:

1/4

Step-by-step explanation:

3/12 = 1/4

(We got 12 by adding all the numbers together.)

4 0

2 years ago

The weight of Lyle’s dog increased from 29.7 pounds to 48.9 pounds in an 8-month period. What was the dog’s average weight incre

krok68 [10]

First subtract the weight the dog weighs now to the weight he was:

48.9
- 29.7
------------
19.2

Then take the number you got which is the weight the dog gain in total, and divide it by the months the dog gained weight to get the average weight gained each month:

19.2/8 = 2.4

The average weight gain each month was 2.4 pounds.

Hope this helped you!

6 0

3 years ago

] It is claimed that 42% of US college graduates had a mentor in college. For a sample of college graduates in Colorado, it was

Bad White [126]

Answer:

$z=\frac{0.480 -0.42}{\sqrt{\frac{0.42(1-0.42)}{1045}}}=3.930$

The p value for this case would be given by:

$p_v =P(z>3.930)=0.0000443$

For this case the p value is lower than the significance level so then we have enough evidence to reject the null hypothesis so then we can conclude that the true proportion is significantly higher than 0.42

Step-by-step explanation:

Information given

n=1045 represent the random sample selected

X=502 represent the college graduates with a mentor

$\hat p=\frac{502}{1045}=0.480$ estimated proportion of college graduates with a mentor

$p_o=0.42$ is the value that we want to test

z would represent the statistic

$p_v$ represent the p value

Hypothesis to test

We want to test if the true proportion is higher than 0.42, the system of hypothesis are.:

Null hypothesis: $p \leq 0.42$

Alternative hypothesis: $p > 0.42$

The statistic is given by:

$z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}}$ (1)

Replacing the info we got:

$z=\frac{0.480 -0.42}{\sqrt{\frac{0.42(1-0.42)}{1045}}}=3.930$

The p value for this case would be given by:

$p_v =P(z>3.930)=0.0000443$

For this case the p value is lower than the significance level so then we have enough evidence to reject the null hypothesis so then we can conclude that the true proportion is significantly higher than 0.42

7 0

3 years ago

Given: BC ≅ DA, ∠CBD ≅ ∠ADB<br>Prove: △BCD ≅ △DAB

Brums [2.3K]

Answer:

Step-by-step explanation:

Side-angle-side.

3 0

2 years ago