A2.32.a
Verify that a sampling distribution is centered at the population mean and approximately normal if the sample size is large enough.
Example Problems
A farmers' market manager says that 70% of vendors accept credit or debit cards. Suppose that we took random samples of vendors from this population and computed the proportion of vendors in each sample who accepted cards. We can assume the manager's claim is true.
What will be the shape of the sampling distribution of : skewed to the left, skewed to the right, approximately normal, or uniform?
What will be the shape of the sampling distribution of : skewed to the left, skewed to the right, approximately normal, or uniform?
A national survey suggests that 12% of adults are left-handed. Suppose that we took random samples of adults from this population and computed the proportion of adults in each sample who were left-handed. We can assume the survey's claim is true.
What will be the shape of the sampling distribution of : skewed to the left, skewed to the right, approximately normal, or uniform?
What will be the shape of the sampling distribution of : skewed to the left, skewed to the right, approximately normal, or uniform?
A local gym reports that 80% of active members check in at least once per week. Suppose that we took random samples of members from this population and computed the proportion of members in each sample who checked in at least once that week. We can assume the gym's claim is true.
What will be the shape of the sampling distribution of : skewed to the left, skewed to the right, approximately normal, or uniform?
What will be the shape of the sampling distribution of : skewed to the left, skewed to the right, approximately normal, or uniform?
Khan Academy ResourcesBasic normal calculationsEmpirical ruleCalculating z-scoresNormal distribution: Area between two pointsNormal distribution: Area above or below a pointNormal calculations in reverseCalculate percentilesQualitative sense of normal distributionsNormal distribution problems: Empirical ruleCalculating percentileComparing with z-scoresFinding z-score for a percentileStandard normal table for proportion aboveStandard normal table for proportion between valuesStandard normal table for proportion belowZ-score introductionThreshold for low percentile

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