Suppose that we will randomly select a sample of 106 measurements from a population having a mean equal to 19 and a standard deviation equal to 7. Calculate the probability that we will obtain a sample mean less than 18.450; that is, calculate P( x < 18.450).

And if we use the normal standard distribution or excel we got:

Step-by-step explanation:

For this case we have the following info given:

represent the mean

represent the standard deviation

represent the sample size

The distribution for the sample size if we use the central limit theorem (n>30) is given by:

And for this case we want to find the following probability:

And for this case we can use the z score formula given by:

And replacing we got:

And if we use the normal standard distribution or excel we got:

pls refer ro the top for answer

answer: 33 ( approx)

step-by-step explanation:

since, in the linear regression formula, the slope is the a in the equation y = b + ax ( by comparing it with the general equation of line y = mx + c )

where,

here given table is,

price ($), x   :           18         23       25       29       30       33

pairs sold, y :         16         13         10       8         6       2

so, ,   ,   ,

and   ,

thus, slop of the given line is,

⇒  

⇒   ≈ 33