Question

In: Statistics and Probability

Q: An agronomist wanted to estimate the mean weight of a certain fruit (?) in his...

Q: An agronomist wanted to estimate the mean weight of a certain fruit (?) in his farm. He selected a random sample of size ? = 16, and found that the sample mean ?̅ = 55 gm and a sample stranded deviation ? = 3 gm. It is assumed that the population is normal with unknown standard deviation (?).

a) Find a point estimate for (?).

b) Find a 95% confidence interval for the population mean (?).

Solutions

Expert Solution

Solution :

Given that,

a. Point estimate = sample mean = = 55

sample standard deviation = s = 3

sample size = n = 16

Degrees of freedom = df = n - 1 = 16 - 1 = 15

b. At 95% confidence level

= 1 - 95%

=1 - 0.95 =0.05

/2 = 0.025

t/2,df = 2.131

Margin of error = E = t/2,df * (s /n)

= 2.131 * ( 3 / 16 )

Margin of error = E = 1.60

The 99% confidence interval estimate of the population mean is,

- E < < + E

55 - 1.60 < < 55 + 1.60

53.4 < < 56.6


Related Solutions

An engineer wanted to estimate the true mean resistance of a certain electrical circuits (?) by...
An engineer wanted to estimate the true mean resistance of a certain electrical circuits (?) by a sample mean (?̅). It is known that the population is normal, and the population standard deviation is ? = 0.25 ohms. Determine the required sample size (?) so that he will be 90% confident of being correct within ± 0.06.
A botanist wishes to estimate the typical number of seeds for a certain fruit. She samples...
A botanist wishes to estimate the typical number of seeds for a certain fruit. She samples 36 specimens and counts the number of seeds in each. Use her sample results (mean = 76.3, standard deviation = 10.8) to find the 99% confidence interval for the number of seeds for the species. Enter your answer as an open-interval (i.e., parentheses) accurate to 1 decimal place.   99% C.I. =
A botanist wishes to estimate the typical number of seeds for a certain fruit. She samples...
A botanist wishes to estimate the typical number of seeds for a certain fruit. She samples 64 specimens and counts the number of seeds in each. Use her sample results (mean = 73.2, standard deviation = 13.2) to find the 80% confidence interval for the number of seeds for the species. Enter your answer as an open-interval (i.e., parentheses) accurate to one decimal place (because the sample statistics are reported accurate to one decimal place). 80% C.I. = Answer should...
A botanist wishes to estimate the typical number of seeds for a certain fruit. She samples...
A botanist wishes to estimate the typical number of seeds for a certain fruit. She samples 38 specimens and counts the number of seeds in each. Use her sample results (mean = 56.1, standard deviation = 21.1) to find the 98% confidence interval for the number of seeds for the species. Enter your answer as an open-interval (i.e., parentheses) accurate to 3 decimal places. 98% C.I. =
A botanist wishes to estimate the typical number of seeds for a certain fruit. She samples...
A botanist wishes to estimate the typical number of seeds for a certain fruit. She samples 49 specimens and counts the number of seeds in each. Use her sample results (mean = 68.6, standard deviation = 14.2) to find the 80% confidence interval for the number of seeds for the species. Enter your answer as an open-interval (i.e., parentheses) accurate to 3 decimal places.   80% C.I. =
A botanist wishes to estimate the typical number of seeds for a certain fruit. She samples...
A botanist wishes to estimate the typical number of seeds for a certain fruit. She samples 60 specimens and counts the number of seeds in each. Use her sample results (mean = 67.4, standard deviation = 16.8) to find the 95% confidence interval for the number of seeds for the species. Enter your answer as an open-interval (i.e., parentheses) accurate to 3 decimal places. 95% C.I. =
A weight-lifting coach wanted to know whether weight-lifters can change their strength by taking a certain...
A weight-lifting coach wanted to know whether weight-lifters can change their strength by taking a certain supplement. To answer this question, the coach randomly selected 8 athletes and gave them a strength test using a bench press. Thirty days later, after regular training using the supplement, they were tested again. The results were listed below. A test was conducted to determine whether weight-lifters can change their strength by taking a certain supplement. Assume the populations are normally distributed. Athlete 1...
According to an estimate, the mean income of attorneys was $66,271 in 2015. A researcher wanted...
According to an estimate, the mean income of attorneys was $66,271 in 2015. A researcher wanted to check if the current mean income of attorneys is greater than $66, 271. A random sample of 64 attorneys taken by this researcher produced a mean income of $69,484 with a standard deviation of $11,500. Test at the 5 % significant level whether the current mean income of all attorneys is greater than $66,271. Explain your conclusion in words.
John wants to estimate the market potential for a low-carbohydrate fruit juice in the U.S. His...
John wants to estimate the market potential for a low-carbohydrate fruit juice in the U.S. His research shows that 50% of the population of the U.S. drinks fruit juice; 10% of all fruit juice drinkers are interested in low-carb juice; the amount of fruit juice consumed per month by those who drink juice is 2 gallons; and the average price per gallon is $5. Assuming that the total population of the U.S. is 300 million, the market potential for low-carb...
A botanist wanted to test if the mean amount of poison in a certain poisonous mushroom...
A botanist wanted to test if the mean amount of poison in a certain poisonous mushroom exceeds 178 mg. A sample of 81 mushrooms gave a sample mean of 184.03 grams and a sample standard deviation of 40.5 grams. At significance level 0.08, can the botanist conclude that the mean amount really exceeds 178 grams? Test statistic = Conclusion by critical value: Since, , , we  H0, i.e., we  conclude that the mean amount exceeds 178 grams. P-value = Conclusion by P-value:...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT