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2 years ago

Someone plz help. s. help

Mathematics

2 answers:

stepladder [879]2 years ago

8 0

There are 72 yellow candles in all

seraphim [82]2 years ago

6 0

72 yellow candies in all

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Please explain and ANSWER this question for BRAINLIEST!

pogonyaev

Answer:

$155 in^{2}$

Step-by-step explanation:

Hope this work helps

4 0

2 years ago

The life times of light bulbs produced by a particular manufacturer have a mean of 1,200 hours and a standard deviation of 400 h

Nezavi [6.7K]

Answer:

a. 1200hours

b. σ² = 400² =160000hour

c. standard error = 133.33

d. for 9 lightbulb it is likely that 9*0.146 = 1.31 bulbs will have lives of fewer than 1,050 hours?

Step-by-step explanation:

mean of 1,200 hours

σ, a standard deviation of 400 hours.

Sample size, N = nine bulbs,

a) mean of the sample mean lifetime: is given as 1,200 hours

b) variance of the sample mean is the square of the σ, a standard deviation of 400 hours.

σ² = 400² =160000hours

c) What is the standard error of the sample mean?

The standard deviation of a sampling distribution of mean values is called the standard error of the means,

standard error of the means, σx = σ √N

The formula for the standard error of the means is true for all values infinite number of sample, N.

σx = σ √N

=400 √9 = 400/3 =133.3333

d) the probability that, on average, those nine lightbulbs have lives of fewer than 1,050 hours

The area under part of a normal probability curve is directly proportional to probability and the value is calculated as

z = ( x₁−x) /σ

where z = propability of normal curve

x₁ = variate mean = 1050hours

x = mean of 1200hours

σ = standard deviation = 400

applying the formula,

z= (1050-1200)/400

z = 150/400 =0.375

Using a table of partial areas beneath the standardized normal curve (see Table of normal curve, a z-value of 0.375 corresponds to an area of 0.1460 between the mean value.

Thus the probability of a lightbulbs having lives of fewer than 1,050 hours is 0.1460.

for 9 lightbulb it is likely that 9*0.146 i.e. 1.31 bulbs will have lives of fewer than 1,050 hours?

8 0

3 years ago

What 223 x 12 explain

geniusboy [140]

Answer: 2676

Step-by-step explanation:

223 x 12 = 2676

This is because 223 12 times equals 2676.

*I will attach my work for the problem so you can see the solving process more clearly :).

Hope this helps :).

4 0

1 year ago

The proportion of American births that result in a birth defect is approximately 1/33 according to the Centers for Disease Contr

max2010maxim [7]

Answer:

The appropriate probability model for X is a Binomial distribution,

X $\sim$ Bin (n = 5, p = 1/33).

Step-by-step explanation:

The random variable X can be defined as the number of American births resulting in a defect.

The proportion of American births that result in a birth defect is approximately p = 1/33.

A random sample of n = 5 American births are selected.

It is assumed that the births are independent, i.e. a birth can be defective or not is independent of the other births.

In this experiment the success is defined as a defective birth.

The random variable X satisfies all criteria of a Binomial distribution.

The criteria are:

Number of observations is constant
Independent trials
Each trial has only two outcomes: Success and Failure
Same probability of success for each trial

Thus, the appropriate probability model for X is a Binomial distribution, Bin (n = 5, p = 1/33).

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3 years ago

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Find the value of x.

enyata [817]

The value of x is 13

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3 years ago