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Nesterboy [21]
3 years ago
6

Can you help me plz.

Mathematics
2 answers:
adelina 88 [10]3 years ago
4 0

Answer:1.885 miles

Step-by-step explanation:Do 0.58 times 3.25 which gives you 1.885.

Hope it helps :)

Alexxandr [17]3 years ago
4 0

Answer:

1.885

Step-by-step explanation:

Mutiply 0.58 which is the miles per lap by 3.25 which are the number of laps Jessica walked

0.58*3.25=1.885

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WHERE DO I DRAG THE LAST TWO
Anastasy [175]
-3/4 goes between -1 and 0 it is the 3rd line to the left and n would go between positive 0 and 1 on the 3rd line to the right
4 0
3 years ago
CS Algebra
CaHeK987 [17]

Answer:

Hope this helps :)

Step-by-step explanation:

8(x - 2) = 2x + 8

y+9 = -2(y + 1)

value of x in 8(x - 2) = 2x + 8

x=4

substitue

y+9=−2(y+1)

value of y y+9=−2(y+1)

y= - 11/3 or 3.66...

x=4

y=4 (I rounded 3.66)

4 0
2 years ago
(A) A small business ships homemade candies to anywhere in the world. Suppose a random sample of 16 orders is selected and each
Leviafan [203]

Following are the solution parts for the given question:

For question A:

\to (n) = 16

\to (\bar{X}) = 410

\to (\sigma) = 40

In the given question, we calculate 90\% of the confidence interval for the mean weight of shipped homemade candies that can be calculated as follows:

\to \bar{X} \pm t_{\frac{\alpha}{2}} \times \frac{S}{\sqrt{n}}

\to C.I= 0.90\\\\\to (\alpha) = 1 - 0.90 = 0.10\\\\ \to \frac{\alpha}{2} = \frac{0.10}{2} = 0.05\\\\ \to (df) = n-1 = 16-1 = 15\\\\

Using the t table we calculate t_{ \frac{\alpha}{2}} = 1.753  When 90\% of the confidence interval:

\to 410 \pm 1.753 \times \frac{40}{\sqrt{16}}\\\\ \to 410 \pm 17.53\\\\ \to392.47 < \mu < 427.53

So 90\% confidence interval for the mean weight of shipped homemade candies is between 392.47\ \ and\ \ 427.53.

For question B:

\to (n) = 500

\to (X) = 155

\to (p') = \frac{X}{n} = \frac{155}{500} = 0.31

Here we need to calculate 90\% confidence interval for the true proportion of all college students who own a car which can be calculated as

\to p' \pm Z_{\frac{\alpha}{2}} \times \sqrt{\frac{p'(1-p')}{n}}

\to C.I= 0.90

\to (\alpha) = 0.10

\to \frac{\alpha}{2} = 0.05

Using the Z-table we found Z_{\frac{\alpha}{2}} = 1.645

therefore 90\% the confidence interval for the genuine proportion of college students who possess a car is

\to 0.31 \pm 1.645\times \sqrt{\frac{0.31\times (1-0.31)}{500}}\\\\ \to 0.31 \pm 0.034\\\\ \to 0.276 < p < 0.344

So 90\% the confidence interval for the genuine proportion of college students who possess a car is between 0.28 \ and\ 0.34.

For question C:

  • In question A, We are  90\% certain that the weight of supplied homemade candies is between 392.47 grams and 427.53 grams.
  • In question B, We are  90\% positive that the true percentage of college students who possess a car is between 0.28 and 0.34.

Learn more about confidence intervals:  

brainly.in/question/16329412

7 0
2 years ago
HELP ASAP!!! I SUCK AT MATH AND I DON’T understand this!!!
anyanavicka [17]

Answer:

Part A:

\frac{13}{20}

Part B:

\frac{1}{39}

Step-by-step explanation:

The total number of candies is 40.

10 + 14 + 4 + 12 = 40

14 are Butterfinger and 12 are Crunch.

14 + 12 = 26

\frac{26}{40}

\frac{26}{40}=\frac{26/2}{40/2}=\frac{13}{20}

\frac{10}{40} =\frac{10/10}{40/10} =\frac{1}{4}

40 - 1 = 39

\frac{4}{39}

\frac{1}{4} × \frac{4}{39}

\frac{1}{39}

4 0
3 years ago
Patty has 20$ to spend on gifts for her friends.her mother gives her 5$ more .if each gift costs 5$ , how many gifts can she buy
nevsk [136]
She can buy 5 gifts 
$20+$5=$25
$25÷$5=5 gifts
7 0
3 years ago
Read 2 more answers
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