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7. 121 points BBUnderStat12 7.1.018.ML My Notes Ask Your Teacher What price do f

ID: 3325597 • Letter: 7

Question

7. 121 points BBUnderStat12 7.1.018.ML My Notes Ask Your Teacher What price do farmers get for their watermelon crops? In the third week of July, a random sample of 43 farming regions gave a sample mean of x $6.88 per 100 pounds of watermelon. Assume that is known to be $1.96 per 100 pounds. ound your answers a) Find a 90% confidence interval for the population mean price per 100 pounds that a mers in his region ge to two decimal places.) lower limit upper limit or their atermelon crop whats the margin o erro margin of error (b) Find the sample size necessary for a 90% confidence level with maximal error of estimate E = 0.41 for the mean price per 100 pounds of watermelon. (Round up to the nearest whole number.) farming regions (c) A farm brings 15 tons of watermelon to market. Find a 90% confidence interval for the population mean cash value of this crop. what is the margin of error? Hint: 1 ton is 2000 pounds. (Round your answers to two decimal places.) lower limit upper limit margin of error

Explanation / Answer

7.

a.

TRADITIONAL METHOD

given that,

standard deviation, =1.96

sample mean, x =6.88

population size (n)=43

I.

stanadard error = sd/ sqrt(n)

where,

sd = population standard deviation

n = population size

stanadard error = ( 1.96/ sqrt ( 43) )

= 0.299

II.

margin of error = Z a/2 * (stanadard error)

where,

Za/2 = Z-table value

level of significance, = 0.1

from standard normal table, two tailed z /2 =1.645

since our test is two-tailed

value of z table is 1.645

margin of error = 1.645 * 0.299

= 0.492

III.

CI = x ± margin of error

confidence interval = [ 6.88 ± 0.492 ]

= [ 6.388,7.372 ]

-----------------------------------------------------------------------------------------------

DIRECT METHOD

given that,

standard deviation, =1.96

sample mean, x =6.88

population size (n)=43

level of significance, = 0.1

from standard normal table, two tailed z /2 =1.645

since our test is two-tailed

value of z table is 1.645

we use CI = x ± Z a/2 * (sd/ Sqrt(n))

where,

x = mean

sd = standard deviation

a = 1 - (confidence level/100)

Za/2 = Z-table value

CI = confidence interval

confidence interval = [ 6.88 ± Z a/2 ( 1.96/ Sqrt ( 43) ) ]

= [ 6.88 - 1.645 * (0.299) , 6.88 + 1.645 * (0.299) ]

= [ 6.388,7.372 ]

-----------------------------------------------------------------------------------------------

interpretations:

1. we are 90% sure that the interval [6.388 , 7.372 ] contains the true population mean

2. if a large number of samples are collected, and a confidence interval is created

for each sample, 90% of these intervals will contains the true population mean

[ANSWERS]

best point of estimate = mean = 6.88

standard error =0.299

z table value = 1.645

margin of error = 0.492$

confidence interval = [ 6.38 , 7.37 ]$ per 100 pounds

b.

Compute Sample Size  

n = (Z a/2 * S.D / ME ) ^2

Z/2 at 0.1% LOS is = 1.64 ( From Standard Normal Table )

Standard Deviation ( S.D) = 1.96

ME =0.41

n = ( 1.64*1.96/0.41) ^2

= (3.21/0.41 ) ^2

= 61.47 ~ 62

c.

not sure Answer what to do

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