Write the linear equation in slope-intercept form given the following:

Hi can you help me ?

anzhelika [568]

this will be the answer

1: x=-4 or x=-3 and the second can be shown clearly

4 0

2 years ago

The systematic repayment of a loan through a set number of payments at a

Romashka-Z-Leto [24]

Answer:

D

Step-by-step explanation:

Amortization is the systematic repayment or writing off a loan through a number of payments at a specific interest rate.

6 0

3 years ago

Is 3 x 10 to the 5th power real, imaginary, rational, or irrational?

chubhunter [2.5K]

Answer:

real

Step-by-step explanation:

300000

6 0

3 years ago

The hospital buys cereal bars in packs of 4. In one day they sell 58 cereal bars. How many packs of cereal bars did they use tha

forsale [732]

Since the cereal bars are bought in a pack of 4 you would divide 58 by 4 to get the amount they used that day .
58/4 = 14 and a half packs

4 0

3 years ago

Read 2 more answers

If a test of H subscript 0 colon space mu subscript D equals 0 space v s. space H subscript a colon space space mu subscript D g

lara [203]

Answer:

$p_v =P(t_{(n-1)}>t_{calculated}) =0.0601$

The p value on this case is given by the problem.

If we compare the p value with a significance level assumed $\alpha=0.05$ , we see that $p_v > \alpha$ and we can conclude that we FAIL to reject the null hypothesis that the difference mean between after and before is less or equal than 0.

Step-by-step explanation:

A paired t-test is used to compare two population means where you have two samples in which observations in one sample can be paired with observations in the other sample. For example if we have Before-and-after observations (This problem) we can use it.

Let put some notation

x=test value before , y = test value after

The system of hypothesis for this case are:

Null hypothesis: $\mu_y- \mu_x \leq 0$

Alternative hypothesis: $\mu_y -\mu_x >0$

The first step is calculate the difference $d_i=y_i-x_i$

The second step is calculate the mean difference

$\bar d= \frac{\sum_{i=1}^n d_i}{n}$

The third step would be calculate the standard deviation for the differences, and we got:

$s_d =\frac{\sum_{i=1}^n (d_i -\bar d)^2}{n-1}$

The 4 step is calculate the statistic given by :

$t=\frac{\bar d -0}{\frac{s_d}{\sqrt{n}}}=t_{calculated}$

The next step is calculate the degrees of freedom given by:

$df=n-1$

Now we can calculate the p value, since we have a right tailed test the p value is given by:

$p_v =P(t_{(n-1)}>t_{calculated}) =0.0601$

The p value on this case is given by the problem.

If we compare the p value with a significance level assumed $\alpha=0.05$ , we see that $p_v > \alpha$ and we can conclude that we FAIL to reject the null hypothesis that the difference mean between after and before is less or equal than 0.

4 0

3 years ago