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3 years ago

Can someone please help me i have no one to help me

Mathematics

2 answers:

GREYUIT [131]3 years ago

6 0

It is an acute triangle because none of its angles are equal to (right) or above (obtuse) 90 degrees.

Naya [18.7K]3 years ago

3 0

B. Acute triangle. Because all three angles are less than 90 degrees.

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Emily bought 63 yards of fabric to make curtains.

olganol [36]

Answer:

2268 inches of fabric

Step-by-step explanation:

There are 36 inches in 1 yard. Therefore, we multiply 36 by 63 to get an answer of 2268.

Therefore, Emily bought 2268 inches of fabric

7 0

3 years ago

Read 2 more answers

4d^3-10 as verbal expression

Rina8888 [55]

Four times d to the third minus ten

3 0

3 years ago

A random sample of 12 supermarkets from Region 1 had mean sales of 84 with a standard deviation of 6.6. A random sample of 17 su

Sladkaya [172]

Answer:

We conclude that there is no difference in potential mean sales per market in Region 1 and 2.

Step-by-step explanation:

We are given that a random sample of 12 supermarkets from Region 1 had mean sales of 84 with a standard deviation of 6.6.

A random sample of 17 supermarkets from Region 2 had a mean sales of 78.3 with a standard deviation of 8.5.

Let $\mu_1$ = mean sales per market in Region 1.

$\mu_2$ = mean sales per market in Region 2.

So, Null Hypothesis, $H_0$ : $\mu_1-\mu_2$ = 0 {means that there is no difference in potential mean sales per market in Region 1 and 2}

Alternate Hypothesis, $H_A$ : > $\mu_1-\mu_2\neq$ 0 {means that there is a difference in potential mean sales per market in Region 1 and 2}

The test statistics that will be used here is Two-sample t-test statistics because we don't know about population standard deviations;

T.S. = $\frac{(\bar X_1 -\bar X_2)-(\mu_1-\mu_2)}{s_p \times \sqrt{\frac{1}{n_1}+ {\frac{1}{n_2}}} }$ ~ $t__n_1_+_n_2_-_2$

where, $\bar X_1$ = sample mean sales in Region 1 = 84

$\bar X_2$ = sample mean sales in Region 2 = 78.3

$s_1$ = sample standard deviation of sales in Region 1 = 6.6

$s_2$ = sample standard deviation of sales in Region 2 = 8.5

$n_1$ = sample of supermarkets from Region 1 = 12

$n_2$ = sample of supermarkets from Region 2 = 17

Also, $s_p=\sqrt{\frac{(n_1-1)\times s_1^{2}+(n_2-1)\times s_2^{2} }{n_1+n_2-2} }$ = $s_p=\sqrt{\frac{(12-1)\times 6.6^{2}+(17-1)\times 8.5^{2} }{12+17-2} }$ = 7.782

So, the test statistics = $\frac{(84-78.3)-(0)}{7.782 \times \sqrt{\frac{1}{12}+ {\frac{1}{17}}} }$ ~ $t_2_7$

= 1.943

The value of t-test statistics is 1.943.

Now, at a 0.02 level of significance, the t table gives a critical value of -2.472 and 2.473 at 27 degrees of freedom for the two-tailed test.

Since the value of our test statistics lies within the range of critical values of t, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region.

Therefore, we conclude that there is no difference in potential mean sales per market in Region 1 and 2.

6 0

3 years ago

What is the slope of the line given by the equation -3x = 30 - 5y?

zaharov [31]

Answer:

The slope of the line given by the equation -3x=30-5y is $\frac{3}{5}$ .

Step-by-step explanation:

-3x=30-5y

Move the -3x to the right side of the equal sign and the -5y to the left.

5y=30+3x

By switching them to opposite sides, their sign changes from - to +.

Then, divide both sides by 5 in order to isolate the y.

$\frac{5y}{5} = \frac{30+3x}{5}$

You get:

y= $\frac{3}{5} x +6$

According to y=mx+b, mx refers to the slope.

In this case, the slope would be $\frac{3}{5}$ .

8 0

3 years ago

How to show my work for2+[4+(5x6)]

Setler [38]

Step-by-step explanation:

2+[4+(5*6)]

2+[4+30]

2+34

7 0

2 years ago