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3 years ago

I need help with this. screenshot attached

Mathematics

1 answer:

CaHeK987 [17]3 years ago

7 0

Answer: 7/5

rise/run
= (7-0)/(8-3) = 7/5

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Jeff buys 3/4 pound of beads. 1/6 of the beads are pink and the rest are green. Jeff packs the green beads equally into 10 jars.

worty [1.4K]

Answer:

The weight of green beans in each jar is 1/16 pounds

Step-by-step explanation:

Total weight of beads = 3/4 pounds

Weight of pink beads = 1/6 × 3/4 pounds = 1/8 pounds

Weight of green beads = 3/4 - 1/8 = 5/8 pounds

Total weight of green beads in 10 jars = 5/8 pounds

Weight of green beads in each jar = 5/8 ÷ 10 = 5/8 × 1/10 = 1/16 pounds

6 0

3 years ago

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Anna makes 120 dolls each month to sell. This month, she increases the number of dolls she makes by 30%. How many dolls does Ann

Tresset [83]

30% = .3

120 x .3 = 40

120 + 40 = 160

Anna makes 160 dolls

5 0

3 years ago

A sample of 5 buttons is randomly selected and the following diameters are measured in inches. Give a point estimate for the pop

Helen [10]

Answer:

$s^2 = \frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}$

But we need to calculate the mean with the following formula:

$\bar X = \frac{\sum_{i=1}^n X_I}{n}$

And replacing we got:

$\bar X = \frac{ 1.04+1.00+1.13+1.08+1.11}{5}= 1.072$

And for the sample variance we have:

$s^2 = \frac{(1.04-1.072)^2 +(1.00-1.072)^2 +(1.13-1.072)^2 +(1.08-1.072)^2 +(1.11-1.072)^2}{5-1}= 0.00277\ approx 0.003$

And thi is the best estimator for the population variance since is an unbiased estimator od the population variance $\sigma^2$

$E(s^2) = \sigma^2$

Step-by-step explanation:

For this case we have the following data:

1.04,1.00,1.13,1.08,1.11

And in order to estimate the population variance we can use the sample variance formula:

$s^2 = \frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}$

But we need to calculate the mean with the following formula:

$\bar X = \frac{\sum_{i=1}^n X_I}{n}$

And replacing we got:

$\bar X = \frac{ 1.04+1.00+1.13+1.08+1.11}{5}= 1.072$

And for the sample variance we have:

$s^2 = \frac{(1.04-1.072)^2 +(1.00-1.072)^2 +(1.13-1.072)^2 +(1.08-1.072)^2 +(1.11-1.072)^2}{5-1}= 0.00277\ approx 0.003$

And thi is the best estimator for the population variance since is an unbiased estimator od the population variance $\sigma^2$

$E(s^2) = \sigma^2$

3 0

3 years ago

Y=-8x-4 for what value of x is y equal too -16

boyakko [2]

Answer: X=1.5

Step-by-step explanation:

The equation when y is -16

-16=-8x-4

-12=-8x

12/8 is 1.5

8 0

2 years ago

Find the value of this expression if x= -6 and y=1. xy^2/-7

Ahat [919]

(-6)(1)∧⁽2/-7⁾= -6 is the answer
Hope it's right

8 0

2 years ago

Read 2 more answers