1.
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Type
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Subject
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Description
- "This chapter explains about meaning of statistics, data, population and simple, statistics methodology
1. definition of statistics and data - This material explains about meaning of statistics and data
2. type of data - This material explains about raw data and data on frequency table
3. population and simple - This material explains about population and simple group that using in statistics
4. Statistics methodology - This material explains about steps of statistics"
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2.
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Type
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Subject
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Description
- "This charpter explain about constructing grouped frequency distribuion and histograms, polygon and ogives
1. grouped frequency distribution - This material explains about how to make the grouped frequency distribution
2. histograms - This material explains about present data by hitograms
3. polygon - This material explains about present data by polygon
4. ogives - This material explains about present data by ogives"
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3.
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Type
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Subject
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Description
- "This charpter explain about mean, variance, and standard deviation of raw and grouped frequency data and weighted mean
1. mean -This material explains about how to calculate about mean
2. weghted mean - This material explains about how to calculated about weight mean
3. variance and standard deviation - This material explains about how to calculate abou variance and standard deviation"
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4.
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Type
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Subject
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Description
- "This charpter explain about medain and mode of raw and grouped frequency data
1. median of raw data - This material explains about meaning of median and how to find the median of raw data
2. median of grouped frequency distribution - This material explains about meaning of median and how to find the median of grouped frequency distribution
3. mode of raw data - This material explains about meaning of mode and how to find the mode of raw data
4. mode of grouped frequency distribution - This material explains about meaning of mode and how to find the mode of grouped frequency distribution"
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5.
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Type
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Subject
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Description
- "This charpter explain about meaning of probability, sample spaces and addition rule for probabilty
1. meaning of probability - This material explains about meaning of probability and how to find probability value
2. sample spaces - This material explains about meaning of sample spaces and event the occure in the experiment
3. addition rule for probabilty - This material explains about meanng and how to find addition rule for probability"
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6.
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Type
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Subject
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Description
- "This charpter explain learn about mutiplication rules and condition probability
1. Multipication rules - This material explains about meaning of mulitiplication rules and how to find the the num ber of event
2. condition probability - This material explains about meaning ofcondition probability and how to find condition probability value"
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7.
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Type
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Subject
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Description
- "This charpter explain about permutation and combination rule, and probability of permutation and combination
1. permutation rule - This material explains about how to caculate permutation rule
2. combination rule - This material explains about how to caculate combination rule
3. probability of permutation and combination - This material explains about how to caculate probability of permutation and combination"
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8.
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Type
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Subject
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Description
- "This charpter explain about didcrste and continuous probability distributions
1. discrete probability distributions - This material explains about meaning of discrete probability distributions and how to caculate
2. continuous probability distributions - This material explains about meaning of continuous probability distributions and how to caculate "
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Url
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9.
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Type
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Subject
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Description
- "This charpter explain about expectation and standard deviation of discrete and continuous probability distributions
1. Expectation of discrete distribution - This material explains about how to caculate expectation of discrete probability distributions
2. Expectation of continuous distribution - This material explains about how to caculate expectation of continuous probability distributions
3. Variance and standard deviation of probability distributions - This material explains about how to caculate variance and standard deviation of discrete and continuous probability distributions "
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10.
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Type
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Subject
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Description
- "This charpter explain about binomial, poisson distributions
1. binomial distributions - This material explains about meaning of binomial distributions and how to caculate the probability
2. poisson distributions - This material explains about meaning of poisson distributions and how to caculate the probability
3. Hypergeomatric distributions - This material explains about meaning of hypergeomatric distributions and how to caculate the probability "
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11.
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Type
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Subject
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Description
- "This charpter explain about normal and chi-square distributions
1. normal distributions - This material explains about meaning of normal distributions and how to caculate the probability
2. chi-square distributions - This material explains about meaning of chi-square distributions and how to caculate the probability
3. T-test ditributions - This material explains about meaning of T-test distributions and how to caculate the probability "
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12.
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Type
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Subject
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Description
- "This charpter explain about confidence intervals for mean(σ know or n≥30),confidence intervals for mean(σ unknow or n<30),confidence intervals and simple size for proportions and confidence intervals for variances and standard deviation
1. confidence intervals for mean(σ know or n≥30) - This material explains about calculate the mean in interval by n equal and greater than 30
2. confidence intervals for mean(σ unknow or n<30) - This material explains about calculate the mean in interval by n less than 30
3. confidence intervals and simple size for proportions - This material explains about calculate the proportion in interval
4. confidence intervals for variances and standard deviation - This material explains about calculate the variance and standard deviation in interval "
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13.
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Type
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Subject
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Description
- "This charpter explain about steps in hypothesis testing, z-test for mean, t-test for mean,z-test for proportion, X2-test for variance or standard deviation
1. steps in hypothesis testing, z-test for mean - This material explains about steps of hypothesis testing and test hypothesis by Z-test for mean
2. t-test for mean - This material explains about steps of hypothesis testing and test hypothesis by T-test for mean
3. z-test for proportion - This material explains about steps of hypothesis testing and test hypothesis by T-test for proportion
4. X2-test for variance or standard deviation - This material explains about steps of hypothesis testing and test hypothesis by X2-test for variance or standard deviation"
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