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3 years ago

What's does 1000(3)h mean

1 answer:

8 0

Multiplication!

your answer to that should be 3000h

I hope this helps!

if you have any further questions, please feel free to private message me!

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1. Calvin goes shopping over the weekend and buys a new pair of shoes, a t-shirt, a pair of

Alja [10]

A. 2s+s+1/2s+9=65
B. 3.5s+9=65
C. Subtract 9 from both sides to get: 3.5s=56 and then divide both sides by 3.5 to get s (the cost of the shirt) which is s=16
D. Shoes cost $32, shirt costs $16, and the sunglasses cost $8

7 0

3 years ago

What is the sign of the product (3)(−25)(7)(−24)? (5 points)

larisa [96]

the correct answer is negative

5 0

3 years ago

Back in ye olden days, cell phone companies charged for texting. A cell phone company charges 10 cents per text message if a cus

Alexeev081 [22]

Answer: It is worth it.

Step-by-step explanation:

If a customer sends 101 - 200 texts in a month, they get charged 8 cents per text.

If they send 201 - 300, they get charged 6 cents per month.

If you have sent 200 texts, your charge for the month will therefore be:

= 200 * 8

= $16.00

If you send the 201th text, you will be charged 6 cents per text. Total charge would be:

= 201 * 6

= $12.06

If you send 1 more text, it will be worth it because you will save:

= 16 - 12.06

= $3.94

8 0

3 years ago

Any of these?? i need help with this packet

Luden [163]

The answer to number 1 is 14

6 0

3 years ago

Read 2 more answers

Ten college students were randomly selected. Their grade point averages (GPAs) when they entered the program were between 3.5 a

solong [7]

Answer:

The 95% confidence interval for the true slope is (0.03985, 0.14206).

Step-by-step explanation:

For the regression equation:

$\hat y=\alpha +\hat \beta x$

The (1 - α)% confidence interval for the regression coefficient or slope $(\hat \beta )$ is:

$Ci=\hat \beta \pm t_{\alpha/2, (n-2)}\times SE(\hat \beta )$

The regression equation for current GPA (Y) of students based on their GPA's when entering the program (X) is:

$\hat Y=3.584756+0.090953 X$

The summary of the regression analysis is:

Predictor Coefficient SE t-stat p-value

Constant 3.584756 0.078183 45.85075 5.66 x 10⁻¹¹

Entering GPA 0.090953 0.022162 4.103932 0.003419

The regression coefficient and standard error are:

$\hat \beta = 0.090953\\SE (\hat \beta)=0.022162$

The critical value of t for 95% confidence level and 8 degrees of freedom is:

$t_{\alpha/2, n-2}=t_{0.05/2, 10-2}=t_{0.025, 8}=2.306$

Compute the 95% confidence interval for $(\hat \beta )$ as follows:

$CI=\hat \beta \pm t_{\alpha/2, (n-2)}\times SE(\hat \beta )\\=0.090953\pm 2.306\times 0.022162\\=0.090953\pm 0.051105572\\=(0.039847428, 0.142058572)\\\approx (0.03985, 0.14206)$

Thus, the 95% confidence interval for the true slope is (0.03985, 0.14206).

6 0

3 years ago