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melisa1 [442]
4 years ago
6

Which is a factor of x2 + 5x – 24? (x-6) (x + 6) (x-8) (x + 8)

Mathematics
2 answers:
My name is Ann [436]4 years ago
5 0
(x-8) would be the answer
NikAS [45]4 years ago
4 0
(x + 8) would be a factor
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Kari bought 3 boxes of cookies to share with a book club. Each box contains 12 cookies. The expression StartFraction 36 over p E
sweet-ann [11.9K]

Answer:12 cookies

Step-by-step explanation:

5 0
3 years ago
Read 2 more answers
If 4 people each make a piece of dough and every 10days from each dough make 4 more; how many will there be after 20days
lisov135 [29]
There will be 16 pieces of dough
8 0
3 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
Write an expression for the operation described below <br> 4 increased by P
exis [7]
Wouldn’t it be 4^P

i light be wrong
8 0
3 years ago
Solve -2x + 13 = -7x + 28
SpyIntel [72]

Answer:

The answer would be 46x

Step-by-step explanation:

-2x+13=11

-7x+28=35

46x

8 0
3 years ago
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