A producer of a variety of salty snacks would like to estimate the average weight of a bag of BBQ potato chips produced during the filling process at one of its plants. Determine the sample size needed to construct a 95% confidence interval with a margin of error equal to 0.007 ounces. Assume the standard deviation for the potato chip filling process is 0.03 ounces. The sample size is?

Q: he manager of The Cheesecake Factory in Boston reports that in a sample of eight randomly selected…

A: Given Data: x¯=131.7s=43.2n=8   t-value corresponding to 99% Confidence Interval=3.5

Q: If a sample of 25 fish from my pound has mean weight 157 grams with a standard deviation of 8.3…

A: Solution: Let X be the weight of fish. From the given information, x-bar=157 grams, S=8.3 grams and…

Q: The Ball Corporation's beverage can manufacturing plant in Fort Atkinson, Wisconsin, uses a metal…

A:

Q: In a random sample of six cell​ phones, the mean full retail price was ​$482.50 and the standard…

A: Confidence interval: Since the population standard deviation is unknown and the sample size is…

Q: A manufacturing company claims that the mean lifetime of bulbs produced was at least 160 hours. In a…

A: Given information-

Q: An electronic manufacturer produces lampshades with a life span of approximately normally…

A: From the provided information, Population standard deviation (σ) = 35 hours

Q: A group of 78 people enrolled in a weight-loss program that involved adhering to a special diet and…

A:

Q: A tire manufacturer would like to estimate the average tire life of its new​ all-season light truck…

A:

Q: Construct a 90% confidence interval for the true average monthly salary earned by all employees of…

A: Given: Average monthly salary  Standard deviation Sample size n = 23 The degrees of freedom can be…

Q: In a random sample of 8 cell phones,the mean full retail price was $405.00 and the standard…

A:

Q: In a random sample of seven aerospace engineers, the mean monthly income was $7322 and the standard…

A: Given,sample;  n=7mean;    x¯=7322 $Standard deviation; s=343 $at confidence level 95% ,…

Q: A random sample of 17chocolate energy bars of a certain brand​ has, on​ average, 290 calories per​…

A: Given information: x-bar =290 S=25 n=17 c=90% (0.9)

Q: The manager of a fast-food restaurant wishes to estimate the mean waiting time customers spend at…

A: It is given that the sample size is n=56. The sample mean waiting time is x¯=6.35. The sample…

Q: The Indian River County Health Department needs to estimate the proportion of county residents with…

A: Given that  n=1375 , X=553

Q: A forester with the National Park Service was tasked with estimating the average age of the bald…

A: Given: The sample size is n=50. The sample mean is x¯=343.9. The sample standard deviation is…

Q: If a sample of 25 fish from my pound has mean weight 157 grams with a standard deviation of 8.3…

A: Given information Sample size(n) = 25 Sample mean = 157g Population standard deviation (σ) = 9.4 g…

Q: The Ball Corporation's beverage can manufacturing plant in Fort Atkinson, Wisconsin, uses a metal…

A:

Q: The Florida Department of Transportation (FDOT) would like to estimate the average speed of vehicles…

A: For the given data s..d =7,alpha=0.1 M.E =? C.I =?

Q: The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine…

A: Instruction : "Please answer for the critical values"   Given Hypothesis : It is a two-tailed test…

Q: A large department store found that it averages 362 customers per hour. Assume that the standard…

A:

Q: A printer cartridge company claims their ink lasts for more than 5,000 words. The number of words…

A: Given: n= 50.0 , x̄= 4940.0 σ= 20.0 At 98.0 % confidence level , z score= 2.326

Q: A survey of first time homeowners found that the sample mean annual income was $53,000. Assume that…

A:

Q: Based on a random sample of 1,020 adults, the mean amount of sleep per night is 8.09 hours. Assuming…

A:

Q: Chuy's wants to determine a 95% confidence interval estimate for the average pounds of chips it…

A:

Q: A company that produces white bread is concerned about the amount of sodium in its bread. The…

A:

Q: A manufacturing company claims that the mean lifetime of bulbs produced was at least 160 hours. In a…

A:

Q: A forester with the National Park Service was tasked with estimating the average age of the bald…

A:

Q: The operations manager of a large production plant would like to estimate the average amount of time…

A: Since we know population standard deviation, use z-distribution to find z-critical value. Find…

Q: A college would like to estimate the proportion of its students that work full-time while going to…

A: A college would like to estimate the proportion of its students that work full-time while going to…

Q: The average weight of 50 randomly selected minivans was 4,200 pounds. The minivan population…

A: Introduction: The 100 (1 – α) % confidence interval for the population mean, μ, when the population…

Q: In a random sample of eleven cell phones, the mean full retail price was $416.00 and the standard…

A:

Q: The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine…

A: Here standard normal distribution is applicable

Q: A forester with the National Park Service was tasked with estimating the average age of the bald…

A:

Q: A trucking fleet-owner owns two semi-trucks and wishes to compare the amount of fuel used per week…

A:

Q: A maker of electric vehicles wants to estimate the mean distance travelled between charges for all…

A:

Q: A financial services company wants to estimate the amount of credit card debt that students…

A: Solution: Given information: n= 50 Sample size  σ= $810  Population mean α= 0.10  Level of…

Q: It is no surprise that the US has the highest calorie intake of any country in the world. Suppose a…

A:

Q: blood pressure. A health department researcher found that 634 out of a random sample of 1713 county…

A: We have given that, Favorable cases (X) = 634 and sample size (n) = 1713

Q: In a random sample of twelve cell​ phones, the mean full retail price was ​$526.00 and the standard…

A: Given  Xbar=526, n=12, s=216, alpha= level of significance=0.10 We want to find the margin of error…

Q: A researcher is conducting a study to determine the mean trough dosage of medication for a…

A:

Q: The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine…

A:

Q: The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine…

A: As PER POLICY I HAVE CALCULATED 3 PARTS

Q: A sample of 100 commuters in Boston indicated that they commute an average of ninety per day. The…

A: 1) The standard deviation is 36.

Q: The Martin County Health Department needs to estimate the proportion of county residents with high…

A: Given information We have given that; a health department researcher found that 221 out of a random…

Q: In a recent sample of 89 used cars sales costs, the sample mean was $6,225 with a standard deviation…

A: Given, Sample size = 89 Sample mean = 6225 Sample standard deviation = 3151   Since the population…

Q: In a random sample of ten cell phones, the mean full retail price was $554.00 and the standard…

A: Given that Sample size n = 10 Sample mean = 554.00 Sample SD = 167.00 The critical value of t at 95%…

Q: The Ball Corporation's beverage can manufacturing plant in Fort Atkinson, Wisconsin, uses a metal…

A: Given: n= 52.0 , x̄= 0.3373 σ= 0.000652 At 95.0 % confidence level , z score= 1.96

Q: A food snack manufacturer samples 15 bags of pretzels off the assembly line and weighed their…

A: Here, sample mean is x-bar = 10.2, the sample standard deviation is s = 0.25 and sample size n = 15.…

Q: A bottled water distributor wants to estimate the amount of water contained in 1​-gallon bottles…

A: Sample mean = x̅ = 0.991 Sample size = n = 50 Population S.D = σ = 0.02 Standard Error = σ/√n…

Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.