Marisol is cutting a 13.5-foot plece of ribbon for a craft project. She cuts off 4.5 feet,

A semicircle has a diameter of 17.6 cm.

Ray Of Light [21]

Answer:

B. 45.23 cm

Step-by-step explanation:

perimeter of the figure

$=\frac{1}{2}\pi d+d$

$=\frac{1}{2}\times 3.14\times 17.6 +17.6$

$=\frac{1}{2}\times 55.264 +17.6$

$=27.632 +17.6$

$=45.232$

$=45.23\: cm$

7 0

3 years ago

What is the answer??

lorasvet [3.4K]

Answer:

80°

Step-by-step explanation:

Triangle ABC and CYZ are similar so the angles would also be same

8 0

3 years ago

There are 7 stars in each course on Mario 64. What percentage of stars

Elina [12.6K]

2 divided by 7 would give you 29%

7 0

3 years ago

You purchased paint for the rooms in your house.you have 1.5 cans of paint left.you painted 4 rooms and each room required 2 can

artcher [175]

4x2=8 cans
8+1.5+0.5=10 cans of paint

7 0

3 years ago

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