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Example of t test ch 13 lec 14
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Example when sigma is unknown
How we can judge about sigma or standard deviation
Testing mean of population when sigma is unknown
Type one and type two error
Confidence interval difference between two population proportion
population, variance known and unknown, large samples
Confidence interval difference between two population mean
Examples of confidence interval for proportion
Confidence interval for proportion
Normal population when sigma unknown
population when sigma known examples
Difference between precision and accuracy
Pooled estimator of population proportion
Pooled estimator of population mean
Biased and unbiased estimator
Statistical inferences
Estimation , estimator and estimate
Sampling distribution of the sample variance
Sampling distribution between two sample proportion
Properties of sampling proportions
Properties of sample proportions
Proportions of difference between two means
Sample values without replacement
Sample values with replacement
Probability and non probability sampling
Sampling design and sampling frame
Advantages and disadvantages of sampling
Sampling techniques and sampling distribution
I am here to teach you the most important test of your course that is bsc Programmed statistics . I hope you will love to my content and i am hopeful and try to present myself in front of you. Programmed statistics full guidelines and instruction provide on my channel.
How we can judge about sigma or standard deviation
Testing mean of population when sigma is unknown
Type one and type two error
Confidence interval difference between two population proportion
population, variance known and unknown, large samples
Confidence interval difference between two population mean
Examples of confidence interval for proportion
Confidence interval for proportion
Normal population when sigma unknown
population when sigma known examples
Difference between precision and accuracy
Pooled estimator of population proportion
Pooled estimator of population mean
Biased and unbiased estimator
Statistical inferences
Estimation , estimator and estimate
Sampling distribution of the sample variance
Sampling distribution between two sample proportion
Properties of sampling proportions
Properties of sample proportions
Proportions of difference between two means
Sample values without replacement
Sample values with replacement
Probability and non probability sampling
Sampling design and sampling frame
Advantages and disadvantages of sampling
Sampling techniques and sampling distribution
I am here to teach you the most important test of your course that is bsc Programmed statistics . I hope you will love to my content and i am hopeful and try to present myself in front of you. Programmed statistics full guidelines and instruction provide on my channel.