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MATH11_Q3-C1.a.Illustrates a random variable (discrete and continuous)..pdfCompetencies 1-3:
Competencies 1-3:
1) Illustrates a random variable (discrete and continuous).
2)distinguishes between a discrete and a continuous random variable.
3) finds the possible values of a random variable
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Math11_Q3_C4-6_Illustrates and construct probability distribution for a discrete random variable and its properties. ➢ Computes probabilities corresponding to a given random variable.pdfCompetencies 4-6:
Competencies 4-6:
4)Illustrates a probability distribution for a discrete random variable and its properties.
5)Constructs the probability mass function of a discrete random variable and its corresponding histogram.
6)Computes probabilities corresponding to a given random variable.
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Math11_Q3_C7-10_Illustrates the mean and variance of a discrete random variable.pdfCompetencies 7-10: Illustrates/ calculates/ interprets the mean and variance of a dicrete variable; and solves problems involving mean and variance of probability distribution.
Competencies 7-10: Illustrates/ calculates/ interprets the mean and variance of a dicrete variable; and solves problems involving mean and variance of probability distribution.
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Math11_Q3_C11_Illustrates a normal random variable and its characteristics.pdfCompetency 11-a: Illustrates a normal random variable and its characteristics.
Competency 11-a: Illustrates a normal random variable and its characteristics.
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MATH11_Q3_C11b_identifying regions under the normal curve corresponding to different standard normal values.pdfCompetency 11-b: Identifies regions under the normal curve corresponding to different standard normal values.
Competency 11-b: Identifies regions under the normal curve corresponding to different standard normal values.
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MATH11_Q3_C12a_converts a normal random variable to a standard normal variable (2).pdfCompetency 12-a: Converts a normal random variable to a standard normal variable and vice versa.
Competency 12-a: Converts a normal random variable to a standard normal variable and vice versa.
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MATH11_Q3_C12b_converts a normal random variable to a standard normal variable.pdfCompetency 12-b: Converts a normal random variable to a standard normal variable and vice versa.
Competency 12-b: Converts a normal random variable to a standard normal variable and vice versa.
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MATH11_Q3_C13a_compute probabilities and percentiles using the standard normal table.pdfCompetency 13-a: Computes probabilities and percentiles using the standard normal table.
Competency 13-a: Computes probabilities and percentiles using the standard normal table.
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MATH11_Q3_C13b_compute probabilities and percentiles using the standard normal table.pdfCompetency 13-b: Computes probabilities and percentiles using the standard normal table.
Competency 13-b: Computes probabilities and percentiles using the standard normal table.
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MATH11_Q3_C14_illustrates random sampling.pdfCompetency 14: Illustrates random sampling.
Competency 14: Illustrates random sampling.
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MATH11_Q3_Competency15_distinguishes between parameter and statistic.pdfCompetency 15: Distinguishes between parameter and statistic.
Competency 15: Distinguishes between parameter and statistic.
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MATH11_Q3_Competency16_identifies sampling distributions-of-statistics.pdfCompetency 16: Identifies sampling distributions-of-statistics.
Competency 16: Identifies sampling distributions-of-statistics.
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MATH11_Q3_Competency17_finds the mean and variance of sampling distribution of the sample mean.pdfCompetency 17: Finds the mean and variance of sampling distribution of the sample mean.
Competency 17: Finds the mean and variance of sampling distribution of the sample mean.
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Math11_Q3_C18&19 _Sampling distribution variance known or unknown.docx (1).pdfCompetencies 18-19: Defines the sampling distribution of the sample mean for normal population when variance is: a) known; b) unknown; and illustrates the Central Limit Theorem.
Competencies 18-19: Defines the sampling distribution of the sample mean for normal population when variance is: a) known; b) unknown; and illustrates the Central Limit Theorem.
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Math11_Q3_C20_Sampling Distribution of Sample Means VIA Central Limit Theorem.docx.pdfCompetency 20: Defines the sampling distribution of the sample means using the Central Limit Theorem.
Competency 20: Defines the sampling distribution of the sample means using the Central Limit Theorem.
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MATH11_Q3_C21_Understanding Sampling Distribution of the Mean: A Guide to Problem Solving.docx.pdfCompetency 21: Solves problems involving sampling distribution of the sample mean.
Competency 21: Solves problems involving sampling distribution of the sample mean.
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Math11_Q3_C22_Solves problems involving sampling distribution of the sample mean..pdfCompetency 22: Solves problems involving sampling distribution of the sample mean.
Competency 22: Solves problems involving sampling distribution of the sample mean.
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Math11_Q3_C23_Illustrates the t-distribution..pdfCompetency 23a: Illustrates the t-distribution.
Competency 23a: Illustrates the t-distribution.
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Math11_Q3_C23.a_Illustrates the t-distribution..pdfCompetency 23b: Illustrates the t-distribution (Finding the critical value using the t-table)
Competency 23b: Illustrates the t-distribution (Finding the critical value using the t-table)
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Math11_Q3_C24_Identifies percentile using the t-table..pdfCompetency 24: Identifies percentile using the t-table.
Competency 24: Identifies percentile using the t-table.
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