Math Problem Statement
The acceptable level for insect filth in a certain food item is 33 insect fragments (larvae, eggs, body parts, and so on) per 10 grams. A simple random sample of 5050 ten-gram portions of the food item is obtained and results in a sample mean of x overbarxequals=3.73.7 insect fragments per ten-gram portion. Complete parts (a) through (c) below. Question content area bottom Part 1 (a) Why is the sampling distribution of x overbarx approximately normal? A. The sampling distribution of x overbarx is approximately normal because the population is normally distributed. B. The sampling distribution of x overbarx is approximately normal because the population is normally distributed and the sample size is large enough. C. The sampling distribution of x overbarx is assumed to be approximately normal. D. The sampling distribution of x overbarx is approximately normal because the sample size is large enough. Your answer is correct. Part 2 (b) What is the mean and standard deviation of the sampling distribution of x overbarx assuming mu equals 3μ=3 and sigmaσequals=StartRoot 3 EndRoot3? mu Subscript x overbarμxequals=33 (Round to three decimal places as needed.) Part 3 sigma Subscript x overbarσxequals=0.2450.245 (Round to three decimal places as needed.) Part 4 (c) What is the probability a simple random sample of 5050 ten-gram portions of the food item results in a mean of at least 3.73.7 insect fragments? P(x overbarxgreater than or equals≥3.73.7)equals=0.00210.0021 (Round to four decimal places as needed.) Part 5 Is this result unusual? A. This result is notis not unusual because its probability is smallsmall. B. This result is notis not unusual because its probability is largelarge. C. This result isis unusual because its probability is largelarge. D. This result isis unusual because its probability is smallsmall.
Solution
Ask a new question for Free
By Image
Drop file here or Click Here to upload
Math Problem Analysis
Mathematical Concepts
Sampling Distribution
Normal Distribution
Central Limit Theorem
Z-score
Formulas
Standard error formula: σ_x = σ / sqrt(n)
Z-score formula: z = (x̄ - μ) / σ_x
Theorems
Central Limit Theorem
Suitable Grade Level
Grades 11-12 (Statistics/Probability)
Related Recommendation
Calculating Probabilities for Sample Means Using the Central Limit Theorem
Calculating Probability Using the Central Limit Theorem: Sample Mean and Z-scores
Central Limit Theorem Probability: Sample Mean Between 111 and 119
Probability with Normal Distribution and Sample Mean Calculation
Statistics Problem: Sample Mean and Probability in Normal Distribution