A piece of electrical pipe conduit has an outer

kicyunya [14]

Answer:

10500

Step-by-step explanation:

The sales in dollars go up in 1500 init so basically you read the question n it says what dollars generated 3.5k in profits you find where the line is and where it stops at 3500 and its in the middle of 9k n 12k which is 10.5k

6 0

3 years ago

Which is not true about the function graphed<br> below?

Tom [10]

Answer:

B. The range of the function is all real numbers

8 0

2 years ago

What is x? 6(x+4)+3x-2

valina [46]

That is impossible to answer because this is an expression. you can only solve for x in equations

6 0

2 years ago

Write the equation for the quadratic function in the graph

Hoochie [10]

Answer:

${x}^{2} - 16 = 0 \: is \: the \: equation$

Step-by-step explanation:

$x = - 4 \\ or \: x = 4$

$(x + 4) = 0 \: or \: (x - 4) = 0 \\ (x + 4)(x - 4) = 0 \\ open \: the \: bracket$

$x(x - 4) + 4(x - 4) = 0$

${x}^{2} - 4x + 4x - 16 = 0 \\ {x}^{2} - 16 = 0$

6 0

2 years ago

A researcher believes that the mean weight of competitive runners is about 140 pounds. A sample of 24 elite distance runners has

ExtremeBDS [4]

Answer:

$t=\frac{136-140}{\frac{11}{\sqrt{24}}}=-1.781$

$p_v =P(t_{(23)}$

If we compare the p value and the significance level assumed $\alpha=0.05$ we see that $p_v$ so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the mean is less than 140 pounds at 5% of signficance.

Step-by-step explanation:

Data given and notation

$\bar X=136$ represent the sample mean

$s=11$ represent the sample standard deviation

$n=24$ sample size

$\mu_o =140$ represent the value that we want to test

$\alpha=0.01$ represent the significance level for the hypothesis test.

t 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 the mean is less than 140, the system of hypothesis would be:

Null hypothesis: $\mu \geq 140$

Alternative hypothesis: $\mu < 140$

If we analyze the size for the sample is < 30 and we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:

$t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}$ (1)

t-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:

$t=\frac{136-140}{\frac{11}{\sqrt{24}}}=-1.781$

P-value

The first step is calculate the degrees of freedom, on this case:

$df=n-1=24-1=23$

Since is a one left tailed test the p value would be:

$p_v =P(t_{(23)}$

Conclusion

If we compare the p value and the significance level assumed $\alpha=0.05$ we see that $p_v$ so we can conclude that we have enough evidence to reject the null hypothesis, so we can conclude that the mean is less than 140 pounds at 5% of signficance.

4 0

2 years ago