Statistic excel-
INDEX
| Templates for: | INFERENCE TEMPLATES | |
| Prepared By : | Dr. Gladys E. Simpson | |
| Last Revision: | Nov 2018 | |
| INDEX OF TEMPLATES. | ||
| Topic / Problem | SINGLE POPULATION | TWO POPULATIONS |
| Z Conf. Interval -MEAN-Pop Std Deviation σ KNOWN | Z Conf. Interval -TWO MEANS-Pop Std Dev σ KNOWN | |
| CONFIDENCE INTERVALS (CI) | T Conf. Interval -MEAN-Pop Std Dev σ UNKNOWN | T Conf. Interval -TWO MEANS-Pop Std Dev σ UNKNOWN |
| margin of error | Z Conf. Interval-ONE PROPORTION | Z Conf. Interval -TWO PROPORTIONS |
| HYPOTHESIS TESTING | Z TEST-ONE MEAN- Pop Std Dev σ KNOWN | Z TEST-TWO MEANS-σ KNOWN |
| P-Values, test statistic | T TEST-ONE MEAN- Pop Std Dev σ UNKNOWN | T TEST-TWO MEANS-σ UNKNOWN |
| Z TEST-ONE PROPORTION | Z TEST - TWO PROPORTIONS | |
| SAMPLE SIZE N | SAMPLE SIZE For PROPORTIONS | |
| SAMPLE SIZE FOR MEANS |
SAMPLE SIZE For MEANS
| FINDING THE SAMPLE SIZE ( n ) for Estimation of MEANS | Back to index Page | |||||
| Fill in ORANGE spaces | ||||||
| What is the confidence level ? | ||||||
| hence, alpha = | 100% | |||||
| critical z* = | - 0 | |||||
| What is the desired error of estimation ? | ||||||
| What is the Standard deviation ? | ||||||
| n | ERROR:#DIV/0! | |||||
| Sample size required : | ERROR:#DIV/0! | |||||
SAMPLE SIZE For PROPORTIONS
| FINDING THE SAMPLE SIZE ( n ) for PROPORTIONS | Back to index Page | |||||
| Fill in ORANGE spaces | ||||||
| What is the confidence level ? | ||||||
| hence, alpha = | 100% | |||||
| critical z* = | - 0 | |||||
| What is the desired error of estimation ? | ||||||
| Approixmation of p (use 0.5 if unknown) | ||||||
| n | ERROR:#DIV/0! | |||||
| Sample size required : | ERROR:#DIV/0! | |||||
CI -MEAN-σ KNOWN - using Z
| FINDING A CONFIDENCE INTERVAL For a POPULATION MEAN | Back to index Page | ||||||
| USING EXCEL TO FIND A CONFIDENCE INTERVAL FOR THE MEAN OF A POPULATION | Z Confidence interval | ||||||
| Fill in ORANGE spaces | σ KNOWN | ||||||
| What is the confidence level ? | |||||||
| hence, alpha = | 100% | ||||||
| critical Z* | 0.000 | ||||||
| What is the sample mean ? (Point Estimate) | Finite Population ? | No | |||||
| What is the sample size (n) ? | 1500 | ||||||
| What is the POPULATION Standard deviation (σ ) ? | 1.000 | ||||||
| Standard Error | ERROR:#DIV/0! | ||||||
| Margin of Error | ERROR:#DIV/0! | ||||||
| 0% Confidence Interval | 0 | + / - | ERROR:#DIV/0! | ||||
| From | ERROR:#DIV/0! | to | ERROR:#DIV/0! | ||||
| lower limit | upper limit | ||||||
CI -MEAN-σ UNKNOWN - using t
| FINDING A CONFIDENCE INTERVAL For a Population MEAN | Back to index Page | |||||
| USING EXCEL TO FIND A CONFIDENCE INTERVAL FOR THE MEAN OF A POPULATION | T Confidence Interval | |||||
| Fill in ORANGE spaces | σ UNKNOWN | |||||
| What is the confidence level ? | 99% | |||||
| hence, alpha = | 1% | |||||
| Degrees of Freedom | 4 | |||||
| Critical t* for 4 df | 4.604 | |||||
| What is the sample mean ? (Point Estimate) | ||||||
| What is the sample size (n) ? | 5 | |||||
| What is the SAMPLE Standard deviation ? | ||||||
| Standard Error : | - 0 | |||||
| Margin of Error | - 0 | |||||
| 99% Confidence Interval | 0.000 | ± | - 0 | |||
| From | 0.000 | to | - 0 | |||
| lower limit | upper limit | |||||
CI-ONE PROPORTION
| FINDING A CONFIDENCE INTERVAL For a PROPORTION | Back to index Page | ||||||||
| Fill in ORANGE spaces | |||||||||
| What is the confidence level ? | |||||||||
| hence, alpha = | 100% | ||||||||
| critical Z* | - 0 | ||||||||
| X - Numbero of successes | ( if not given, use the proportion given to compute it: x = p * n ) | ||||||||
| What is the sample size (n) ? | |||||||||
| Sample Proportion p (Point Estimate) | ERROR:#DIV/0! | = X / n ( enter it directly if necessary ) | |||||||
| Std Error | ERROR:#DIV/0! | sqrt( p * ( 1 - p ) / n ) | |||||||
| Margin of Error | ERROR:#DIV/0! | ( critical z * std Error ) | |||||||
| 0% Confidence Interval | ERROR:#DIV/0! | ± | ERROR:#DIV/0! | or | From | ERROR:#DIV/0! | to | ERROR:#DIV/0! | in % form |
| ERROR:#DIV/0! | ± | ERROR:#DIV/0! | or | From | ERROR:#DIV/0! | to | ERROR:#DIV/0! | in decimal form | |
| lower limit | upper limit | ||||||||
CI -TWO MEANS-σ KNOWN
| FINDING A CONFIDENCE INTERVAL For COMPARING TWO MEANS | Back to index Page | ||||
| Fill in ORANGE spaces | Z Confidence interval | ||||
| What is the confidence level ? | σ KNOWN | ||||
| hence, alpha = | 100% | ||||
| critical Z* | 0.000 | ||||
| Sample 1 | Sample 2 | ||||
| What is the sample mean ? | |||||
| What is the sample size (n) ? | |||||
| What is the Population Std deviation (σ )? | |||||
| Mean Difference (x1 - x2 ) | 0.000 | ||||
| Sampling Distrib Std dev (Std Error) | ERROR:#DIV/0! | ||||
| Margin of Error | ERROR:#DIV/0! | ||||
| 0% Confidence Interval | 0.000 | ± | ERROR:#DIV/0! | ||
| From | ERROR:#DIV/0! | to | ERROR:#DIV/0! | ||
| lower limit | upper limit | ||||
CI -TWO MEANS-σ UNKNOWN
| FINDING A CONFIDENCE INTERVAL For COMPARING TWO MEANS | Back to index Page | ||||
| Fill in ORANGE spaces | T Confidence Interval | ||||
| What is the confidence level ? | σ UNKNOWN | ||||
| hence, alpha = | 100% | ||||
| critical t* | ERROR:#NUM! | ||||
| Sample 1 | Sample 2 | ||||
| What is the sample mean ? | |||||
| What is the sample size (n) ? | |||||
| What is the Sample Standard deviation (s) ? | |||||
| Degrees of Freedom | -1 | -1 | |||
| Mean Difference (x1 - x2 ) | 0.000 | ||||
| Standard Error : | ERROR:#DIV/0! | Assuming Unknown and Equal Pop variances | |||
| Margin of Error | ERROR:#NUM! | ||||
| 0% Confidence Interval | 0.000 | ± | ERROR:#NUM! | ||
| From | ERROR:#NUM! | to | ERROR:#NUM! | ||
| lower limit | upper limit | ||||
CI-TWO PROPORTIONS
| CONFIDENCE INTERVAL For COMPARING TWO PROPORTIONS | Back to index Page | |||||||
| Fill in ORANGE spaces | ||||||||
| What is the confidence level ? | ||||||||
| hence, alpha = | 100% | |||||||
| critical z* | - 0 | |||||||
| Sample 1 | Sample 2 | |||||||
| X - Numbero of successes | ||||||||
| What is the sample size (n) ? | ||||||||
| Difference (D) | ||||||||
| What is the sample Proportion p | ERROR:#DIV/0! | ERROR:#DIV/0! | ERROR:#DIV/0! | ERROR:#DIV/0! | ||||
| Std Error | ERROR:#DIV/0! | ERROR:#DIV/0! | ERROR:#DIV/0! | |||||
| Margin of Error | ERROR:#DIV/0! | ( critical z * std Error ) | P-Value for D=0 | ERROR:#DIV/0! | ||||
| 0% Confidence Interval | ERROR:#DIV/0! | ± | ERROR:#DIV/0! | --> From | ERROR:#DIV/0! | to | ERROR:#DIV/0! | in % form |
| ERROR:#DIV/0! | ± | ERROR:#DIV/0! | --> From | ERROR:#DIV/0! | to | ERROR:#DIV/0! | in decimal form | |
Z TEST-ONE MEAN-σ KNOWN
| SIGNIFICANCE TEST - Hypothesis test For a SINGLE Population Mean When σ KNOWN | Back to index Page | ||||||
| Fill in ORANGE spaces | ONE SAMPLE Z-TEST | ||||||
| σ is the POPULATION STANDARD DEVIATION | |||||||
| Ho: Pop mean( µ ) = | Significance level | When σ is KNOWN we use the Z tables, the Normal Distribution | |||||
| TABLE A on book, or NORMDIST Excel Function | |||||||
| Sample mean (x) | Finite Population ? | No | |||||
| Sample size ( n ) | |||||||
| Population std dev ( σ ) = | 1.000 | ||||||
| smpl distr std dev | ERROR:#DIV/0! | ||||||
| test statistic z | ERROR:#DIV/0! | ||||||
| ONE SIDED ALTERNATIVE | TWO SIDED | ||||||
| Hypotheses | Ho : µ >= | 0 | Ho : µ <= | 0 | Ho : µ = | 0 | |
| Ha : µ < | 0 | Ha : µ > | 0 | Ha : µ ≠ | 0 | ||
| P Values | P-value | ERROR:#DIV/0! | P-value | ERROR:#DIV/0! | P-value | ERROR:#DIV/0! | |
T TEST-ONE MEAN-σ UNKNOWN
| HYPOTHESIS TEST About A POPULATION MEAN When σ UNKNOWN | Back to index Page | |||||
| Fill in ORANGE spaces | ONE SAMPLE T-TEST | |||||
| When σ ( the POPULATION STANDARD DEVIATION) is NOT KNOWN | ||||||
| Ho: Pop mean( µ ) = | Significance level | We use the Sample Standard deviation to estimate it | ||||
| and we work with a T DISTRIBUTION for the test statistic t | ||||||
| Sample mean (x) | Using TABLE D on the BOOK or TDIST Function in Excel | |||||
| Sample size ( n ) | ||||||
| Sample std dev ( s ) = | ||||||
| degrees of freedom | ||||||
| Standard Error | ERROR:#DIV/0! | |||||
| test statistic t | ERROR:#DIV/0! | |||||
| 1 SIDED ALTERNATIVE | TWO SIDED | |||||
| Hypotheses | Ho : µ >= | 0 | Ho : µ <= | 0 | Ho : µ = | 0 |
| Ha : µ < | 0 | Ha : µ > | 0 | Ha : µ ≠ | 0 | |
| P Values | P-value | ERROR:#DIV/0! | P-value | ERROR:#DIV/0! | P-value | ERROR:#DIV/0! |
Z TEST-PROPORTION
| HYPOTHESIS TEST About A POPULATION PROPORTION | Back to index Page | Prepared by Gladys Simpson gladys.simpson@fiu.edu | |||||||||
| Fill in ORANGE spaces | Z-TEST FOR A PROPORTION | If the sample size is too small, inference for proportions must be based on binomial distribution | |||||||||
| when the sample is large, both the count X and the sample proportion are | |||||||||||
| Ho: Pop proportion p0 = | Significance level (alpha) | approximately normal and we work with the normal distribution. | |||||||||
| Here we work with the normal distribution. | |||||||||||
| X number of successes | |||||||||||
| IT is recommended to use large-sample z significance tst as long as the | |||||||||||
| Sample size ( n ) | expected number of successes ( n*p) and expected failures (n*q) are both greater than 5 | ||||||||||
| Sample Proportion p | ERROR:#DIV/0! | (x/n) - Number of successes / sample size | CAN'T USE THIS TEST when sample is too small | ||||||||
| Hence, pop std dev = | - 0 | ||||||||||
| Standard Error | ERROR:#DIV/0! | ||||||||||
| test statistic z | ERROR:#DIV/0! | ||||||||||
| 1 SIDED ALTERNATIVE | TWO SIDED | ||||||||||
| Hypotheses | Ho : p >= | 0% | Ho : p < = | 0% | Ho : p = | 0% | |||||
| Ha : p < | 0% | Ha : p > | 0% | Ha : p ≠ | 0% | ||||||
| P Values | P-value | ERROR:#DIV/0! | P-value | ERROR:#DIV/0! | P-value | ERROR:#DIV/0! | |||||
Z TEST-TWO MEANS-σ KNOWN
| COMPARING TWO MEANS - Hypothesis test for Differences in sample means - σ KNOWN | Back to index Page | ||||||||
| Fill in ORANGE spaces | TWO SAMPLE Z-TEST | When σ ( the POPULATION STANDARD DEVIATION) is KNOWN | |||||||
| Significance level | |||||||||
| Sample 1 | Sample 2 | We use the Sample Standard deviation to estimate it | |||||||
| Sample mean (x) | we work with a Z DISTRIBUTION for the test statistic (Z) | ||||||||
| Sample size ( n ) | |||||||||
| Population std dev ( σ ) = | |||||||||
| Mean difference (x1-x2) | 0.00 | ||||||||
| Standard Error | ERROR:#DIV/0! | ||||||||
| test statistic Z | ERROR:#DIV/0! | ||||||||
| 1 SIDED ALTERNATIVE | TWO SIDED | ||||||||
| Hypotheses | Ho : µ1 = µ2 | Ho : µ1 = µ2 | Ho : µ1 = µ2 | ||||||
| Ha : µ1 < µ2 | Ha : µ1 > µ2 | Ha : µ1 ≠ µ2 | |||||||
| P Values | P-value | ERROR:#DIV/0! | P-value | ERROR:#DIV/0! | P-value | ERROR:#DIV/0! | |||
T TEST-TWO MEANS-σ UNKNOWN
| COMPARING TWO MEANS - Hypothesis test for Difference in TWO POPULATION MEANS | Back to index Page | ||||||||
| Fill in ORANGE spaces | TWO SAMPLE T-TEST | When σ ( the POPULATION STANDARD DEVIATION) is NOT KNOWN | |||||||
| Significance level | We use the Sample Standard deviation to estimate it | ||||||||
| and we work with a T DISTRIBUTION for the test statistic t | |||||||||
| Sample 1 | Sample 2 | Using TABLE D on the BOOK or TDIST Function in Excel | |||||||
| Sample mean (x) | |||||||||
| Sample size ( n ) | |||||||||
| Sample std dev ( s ) = | |||||||||
| Mean difference (x1-x2) | 0.000 | ||||||||
| degrees of freedom | -1 | -1 | |||||||
| Standard Error | ERROR:#DIV/0! | Assuming Equal Variances | |||||||
| test statistic t | ERROR:#DIV/0! | ||||||||
| 1 SIDED ALTERNATIVE | TWO SIDED | ||||||||
| Hypotheses | Ho : µ1 = µ2 | Ho : µ1 = µ2 | Ho : µ1 = µ2 | ||||||
| Ha : µ1 < µ2 | Ha : µ1 > µ2 | Ha : µ1 ≠ µ2 | |||||||
| P Values | P-value | ERROR:#DIV/0! | P-value | ERROR:#DIV/0! | P-value | ERROR:#DIV/0! | |||
Z TEST - TWO PROPORTIONS
| FINDING THE P-VALUE and HYPOTHESIS TEST for PROPORTIONS | Back to index Page | Prepared by Gladys Simpson gladys.simpson@fiu.edu | |||||||||
| Fill in ORANGE spaces | Z-TEST FOR COMPARING TWO PROPORTIONS | ||||||||||
| Significance level | |||||||||||
| Sample 1 | Sample 2 | Overall | |||||||||
| X number of successes | 0 | ||||||||||
| Sample size ( n ) | 0 | ||||||||||
| Sample Proportion p | ERROR:#DIV/0! | ERROR:#DIV/0! | ERROR:#DIV/0! | ||||||||
| Standard Error | ERROR:#DIV/0! | ERROR:#DIV/0! | ERROR:#DIV/0! | ||||||||
| test statistic Z | ERROR:#DIV/0! | ||||||||||
| Hypotheses | Ho : p1 = p2 | Ho : p1 = p2 | Ho : p1 = p2 | ||||||||
| Ha : p1 < p2 | Ha : p1 > p2 | Ha : p1 ≠ p2 | |||||||||
| P Values | P-value | ERROR:#DIV/0! | P-value | ERROR:#DIV/0! | P-value | ERROR:#DIV/0! | |||||