A bank analyzes customer adoption of its new mobile banking app. Historically, 45% of customers use online banking services. Use a normal distribution to approximate the probability that between 62 and 70 customers out of a sample of 100 will adopt the online banking service.
Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 1m
- 3. Describing Data Numerically1h 48m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables2h 55m
- 6. Normal Distribution & Continuous Random Variables1h 48m
- 7. Sampling Distributions & Confidence Intervals: Mean2h 8m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 20m
- 9. Hypothesis Testing for One Sample2h 23m
- 10. Hypothesis Testing for Two Samples3h 25m
- 11. Correlation1h 6m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 30m
- 14. ANOVA1h 4m
8. Sampling Distributions & Confidence Intervals: Proportion
Sampling Distribution of Sample Proportion
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
A market research firm is studying customer satisfaction for a food delivery service. Based on past data, of customers rate the service as "satisfactory". The firm randomly surveys groups of 250 customers. Find the mean and standard deviation of the sampling distribution for . What would the shape of the sampling distribution be?
A
The sampling distribution is normal
B
μp^=0.85
σp^=0.0226
The sampling distribution is skewed
C
μp^=0.85
σp^=0.0226
The sampling distribution is normal
D
μp^=0.34
σp^=0.0300
The sampling distribution is skewed

1
Identify the given probability of success (p) as 0.85, which represents the proportion of customers who rate the service as 'satisfactory'.
Determine the sample size (n), which is 250 customers in each surveyed group.
Calculate the mean of the sampling distribution of the sample proportion (μ_{p̂}) using the formula: μ_{p̂} = p. Substitute the given value of p to find μ_{p̂}.
Calculate the standard deviation of the sampling distribution of the sample proportion (σ_{p̂}) using the formula: σ_{p̂} = sqrt((p * (1 - p)) / n). Substitute the given values of p and n to find σ_{p̂}.
Determine the shape of the sampling distribution. Since the sample size is large and p is not too close to 0 or 1, the sampling distribution of the sample proportion will be approximately normal according to the Central Limit Theorem.
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