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andreev551 [17]
3 years ago
6

Ms. Ling bought party hats for the 86 fourth

Mathematics
2 answers:
kozerog [31]3 years ago
7 0

Answer:

14 1/3

Step-by-step explanation:

86 ÷ 6= 14 1/3

hope it helps

Nat2105 [25]3 years ago
5 0

Answer:

15

Step-by-step explanation:

86 / 6 = 14 1/3

Since Ms. Ling can't by 1/3 of a package, she needs to by 15 packages.

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Find the length of the base of a square pyramid if the volume is 48 cubic inches and has a height of 9 inches.
Nata [24]
The answer to your question, is 4 inches
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5 0
3 years ago
Please be neat when answering
Vikki [24]

Answer:

In fig. 9, angle Y = angle 110° (vertically opposite angles )

Angle x = angle z = 180 - 110 = 70° (angles on a straight line)

In fig 10, angle y = 78°

Angle x = angle z = 180-78 = 102°

In fig 11, angle x = 83°

Angle y = angle z = 180-83 = 97°

In fig 12, angle y = 37°

Angle x = angle z = 180-37 = 143°

6 0
3 years ago
What is the measure of each interior angle of a regular decagon (10 sides)?
bixtya [17]
6)a

if we put n as the number of sides in a regular polygon, the formula to find the measure of each angle is
\frac{(n - 2) \times 180}{n}
so the answer will be
\frac{(10 - 2) \times 180 }{10}   = \frac{1440}{10}  = 144
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7 0
3 years ago
Read 2 more answers
En el año 2017 una fábrica obtuvo 200.000 unidades de producto utilizando 25.000 horas de mano de obra. Partiendo de la producti
Butoxors [25]

Answer:

211,200 unidades de productos que debes obtener en el año 2018 si quieres incrementar la productividad de la fuerza laboral en un 10% utilizando 24,000 horas laborales.

Step-by-step explanation:

Datos de 2017

Unidades = 200.000

Horas laborales = 25,000

Unidades por hora laboral = 200.000 / 25.000 = 8

2018

Horas de mano de obra = 24.000

Unidades por hora laboral = 8

Unidades totales = 24,000 * 8 = 192,000

Queremos aumentar la productividad en un 10%

10% de 8 = 0,8 Se deben producir 0,8 adicionales cada hora para obtener un 10% más de productividad.

El nuevo número de unidades producidas después de una mayor productividad será

8+ 0.8 = 8.8 unidades por hora

Unidades totales = 24,000 * 8.8 = 211,200 unidades serán producidas.

211,200 unidades de productos que debes obtener en el año 2018 si quieres incrementar la productividad de la fuerza laboral en un 10% utilizando 24,000 horas laborales.

2017 data

Units = 200,000

Labor Hours = 25,000

Units per labor hour = 200,000/25,000= 8

2018

Labor Hours = 24,000

Units per labor hour = 8

Total Units = 24,000*8 =192,000

We want to increase the productivity by 10 % so

10 % of 8 = 0.8   An additional 0.8 must be produced each hour to get 10 % more productivity.

The new number of units produced after increased productivity will be

8+ 0.8 = 8.8 units per hour

Total units = 24,000* 8.8=   211,200 units will be produced.

211,200 units of products you must obtain in the year 2018 if you want to increase the productivity of the labor force by 10% using 24,000 labor hours.

5 0
3 years ago
In recent years, only 79% of the fruit sold at Fred's Fruit stand has been any good. Fred recently started buying fruit from new
Juli2301 [7.4K]

Answer:

The p-value of the test is 0.0485 < 0.05, also less than 0.07, so there is sufficient evidence to conclude that there is a statistically significant increase in the percentage of good fruit, for both significance levels, thus the change in significance levels do not change the conclusion.

Step-by-step explanation:

79% of the fruit sold at Fred's Fruit stand has been any good. Test if there has been an increase.

At the null hypothesis, we test if there has been no increase, that is, the proportion is still of 79%, so:

H_0: p = 0.79

At the alternative hypothesis, we test if there has been an increase, that is, more than 79% being good, so:

H_1: p > 0.79

The test statistic is:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

In which X is the sample mean, \mu is the value tested at the null hypothesis, \sigma is the standard deviation and n is the size of the sample.

0.79 is tested at the null hypothesis:

This means that \mu = 0.79, \sigma = \sqrt{0.79*0.21}

In a random sample if 475 pieces, 85 were bad.

So 475 - 85 = 390 were good, and:

n = 475, X = \frac{390}{475} = 0.8211

Value of the test statistic:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

z = \frac{0.8211 - 0.79}{\frac{\sqrt{0.79*0.21}}{\sqrt{475}}}

z = 1.66

P-value of the test and decision:

The p-value of the test is the probability of finding a sample proportion above 0.8211, which is 1 subtracted by the p-value of Z = 1.66.

Looking at the z-table, z = 1.66 has a p-value of 0.9515.

1 - 0.9515 = 0.0485

The p-value of the test is 0.0485 < 0.05, also less than 0.07, so there is sufficient evidence to conclude that there is a statistically significant increase in the percentage of good fruit, for both significance levels, thus the change in significance levels do not change the conclusion.

5 0
3 years ago
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