A die is tossed. If the number rolled is between 2 and 5, inclusive, what is the probability the number rolled is 4?

10. Answer True or False for the following statements. If false, justify what would make the statement true. a. If the least-squ

Free_Kalibri [48]

Answer:

a) TRUE

b) FALSE

c) FALSE

d) TRUE

e) FALSE

Step-by-step explanation:

a)

TRUE because the slope of the correlation line is 2 and this is the rate of change of y respect to x

b)

FALSE

The correlation coefficient r is always between -1 and 1, so it can never be greater than one

c)

FALSE

A student might expect that there is a positive correlation between the age of their laptop and its resale value only if after collecting a large enough sample of data that relates age of the student and price of resale of their laptop, he or she finds that there is a positive correlation coefficient r>0

d)

TRUE

If there is a positive correlation, then the greater the x, the greater the y

e)

FALSE

If there is no correlation between the independent and dependent variables, then the value of the correlation coefficient must be 0.

7 0

3 years ago

Suppose that a jewelry store tracked the amount of emeralds they sold each week to more accurately estimate how many emeralds to

RUDIKE [14]

Answer:

The confidence interval for the mean is given by the following formula:

$\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}$ (1)

And for this case the 95% confidence interval is given by (2.13; 2.37)

We have a point of estimate for the sample mean with this formula:

$\bar X = \frac{Upper+ Lower}{2}= \frac{3.37+2.13}{2}= 2.75$

And for the margin of error we have the following estimation:

$ME= \frac{Upper -Lower}{2}= \frac{3.37-2.13}{2}= 0.62$

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

$\bar X$ represent the sample mean

$\mu$ population mean (variable of interest)

s represent the sample standard deviation

n represent the sample size

Solution to the problem

The confidence interval for the mean is given by the following formula:

$\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}$ (1)

And for this case the 95% confidence interval is given by (2.13; 2.37)

We have a point of estimate for the sample mean with this formula:

$\bar X = \frac{Upper+ Lower}{2}= \frac{3.37+2.13}{2}= 2.75$

And for the margin of error we have the following estimation:

$ME= \frac{Upper -Lower}{2}= \frac{3.37-2.13}{2}= 0.62$

5 0

3 years ago

Help me again lol im not smart

Artyom0805 [142]

One could be |x|<-2
This could be one since no matter what you put in for x, it will always be positive.

6 0

3 years ago

Wut is duh mass ov mai 20 lbz book

morpeh [17]

The mass is 15 and can you speak english.

3 0

3 years ago

In AIJK, i = 850 inches, j = 250 inches and ZK=80°. Find the length of k, to the<br> nearest inch

bearhunter [10]

Answer:

843

Step-by-step explanation:

8 0

3 years ago