Math Problem Statement
Recall that a customer is considered to be very satisfied with his or her XYZ Box video game system if the customer’s composite score on the survey instrument is at least 42. One way to show that customers are typically very satisfied is to show that the mean of the population of all satisfaction ratings is at least 42. Letting this mean be µ, in this exercise we wish to investigate whether the sample of 65 satisfaction ratings provides evidence to support the claim that µ exceeds 42 (and, therefore, is at least 42).
For the sake of argument, we begin by assuming that µ equals 42, and we then attempt to use the sample to contradict this assumption in favor of the conclusion that µ exceeds 42. Recall that the mean of the sample of 65 satisfaction ratings is = 42.95, and assume that σ, the standard deviation of the population of all satisfaction ratings, is known to be 2.64.
Click here for the Excel Data File
(a) Consider the sampling distribution of for random samples of 65 customer satisfaction ratings. Use the properties of this sampling distribution to find the probability of observing a sample mean greater than or equal to 42.95 when we assume that µ equals 42. (Round σ and p to 4 decimal places. Round z-scores to 2 decimal places. Do not round your intermediate calculations.)
Solution
Ask a new question for Free
By Image
Drop file here or Click Here to upload
Math Problem Analysis
Mathematical Concepts
Hypothesis Testing
Sampling Distribution
Z-Score
Normal Distribution
Formulas
Standard Error of the Mean: SE = σ / √n
Z-Score: z = (X̄ - µ) / SE
P-Value Calculation from Z-Score
Theorems
Central Limit Theorem
Properties of Normal Distribution
Suitable Grade Level
College-Level Statistics
Related Recommendation
Finding the Probability that X̄ is Less Than 95 in a Normal Distribution with μ = 101 and σ = 10
Probability in Normal Distribution with Z-scores and Sample Mean
Calculating Probability of a Sample Mean Greater Than 75 for Population with μ = 72 and σ = 20
Normal Model for Sample Mean, Z-Scores, and Probabilities with n=43
Calculate 90% Confidence Interval for Average Customer Satisfaction