Please help I do not understand this problem.

What is the area of 14 and5.5

abruzzese [7]

Answer:

77

Step-by-step explanation:

The area of 14 and 5.5 is 77 because 14 x 5.5 = 77. You are multiplying the 2 diameters to get the area.

6 0

3 years ago

A random variable is not normally distributed, but it is mound shaped. It has a mean of 14 and a standard deviation of 3. If you

Over [174]

Answer:

Step-by-step explanation:

from the question,

the mean 14

the standard deviation is 3

and sample size is 10.

since the n which is the sample size is 10, then the distribution is mound shaped.

why?

this is due to the fact that the random variable from which we took the sample is mound shaped.

The sampling distribution of the mean is normally distributed although the question says the random variable is not normally distributed. so the shape is bell shaped and normally distributed.

the standard deviation of the mean is

3/√10

= 0.948

5 0

3 years ago

2/5 of a number is 14 what’s the number

Ainat [17]

35 is the answer to your question

7 0

3 years ago

The average of 10 numbers is 85. If the numbers 70 and 76 are removed from the set of numbers, what is the average of the remain

Alexeev081 [22]

Answer:

88

Step-by-step explanation:

From the question:

The average of 10 numbers is 85.

We have to find the total sum for the 10 numbers

Hence: 10 × 85 = 850

If the numbers 70 and 76 are removed from the set of numbers.

This means 10 number is reduced by 2

= 10 - 2 = 8

The total sum of the 8 numbers is

= 850 - (70 + 76)

= 850 - 146

= 704

The average of the remaining numbers is calculated as:

Sum of the 8 numbers/8

= 704/8

= 88.

Therefore, the sum of the remaining numbers is 88

4 0

3 years ago

An engineer has designed a valve that will regulate water pressure on an automobile engine. The valve was tested on 180180 engin

tiny-mole [99]

Answer:

$z=\frac{4.6-4.8}{\frac{0.9}{\sqrt{180}}}=-2.98$

$p_v =P(Z$

If we compare the p value and the significance level given $\alpha=0.1$ we see that $p_v$ so we can conclude that we have enough evidence to reject the null hypothesis,and we have enough evidence to conclude that the true mean is significantly lower thn 4.8 at 10% of signficance.

Step-by-step explanation:

Data given and notation

$\bar X=4.6$ represent the sample mean

$\sigma=0.9$ represent the population standard deviation

$n=180$ sample size

$\mu_o =4.8$ represent the value that we want to test

$\alpha=0.1$ represent the significance level for the hypothesis test.

z would represent the statistic (variable of interest)

$p_v$ represent the p value for the test (variable of interest)

State the null and alternative hypotheses.

We need to conduct a hypothesis in order to check if thetrue mean is below the specifications, the system of hypothesis would be:

Null hypothesis: $\mu \geq 4.8$

Alternative hypothesis: $\mu < 4.8$

If we analyze the size for the sample is > 30 and we know the population deviation so is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:

$z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}}$ (1)

z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".

Calculate the statistic

We can replace in formula (1) the info given like this:

$z=\frac{4.6-4.8}{\frac{0.9}{\sqrt{180}}}=-2.98$

P-value

Since is a one sided test the p value would be:

$p_v =P(Z$

Conclusion

If we compare the p value and the significance level given $\alpha=0.1$ we see that $p_v$ so we can conclude that we have enough evidence to reject the null hypothesis,and we have enough evidence to conclude that the true mean is significantly lower thn 4.8 at 10% of signficance.

4 0

3 years ago