4. Variable IQR Skewness Fanning 21.67 0.20<br />The mean of the female fanning is 39.83%.There is a slightly positive skew to the fanning data. With the standard deviation of 13.23%.While the fanning is bimodal with two subgroups between 28% and 51%. There are two outliers. <br />Que 2. Female Stats for guarding eggs<br />Variable N Mean SE Mean StDev Minimum Q1 Median Q3 Maximum<br />Guarding 40 45.57 1.88 11.90 24.20 35.68 45.85 53.55 68.00<br />Variable IQR Skewness<br />Guarding 17.87 0.15<br />Male Stats for guarding eggs<br />Variable N Mean SE Mean StDev Minimum Q1 Median Q3 Maximum<br />Guarding 40 61.56 1.86 11.75 35.40 54.28 61.50 71.75 80.40<br />Variable IQR <br />SkewnessGuarding 17.47 -0.28<br />The males have a slightly higher rate of guarding than the females. Shown by the higher mean rate, this shows males coming in at 61.56% while females come in at a lower 45.57%. Males also have a higher spread with their interquartile range coming at 80.40% a 12.60% higher difference to their female counter parts. There are no outliers in both groups.<br />Que 3. Male working data<br /> Variable N Mean StDev Minimum Q1 Median Q3 Maximum IQR<br />Guarding 40 61.56 11.75 35.40 54.28 61.50 71.75 80.40 17.47<br />Fanning 40 4.378 3.905 0.100 1.400 4.000 5.575 18.800 4.175<br />Variable Skewness<br />Guarding -0.28<br />Fanning 1.75<br />Female working data<br />Variable N Mean StDev Minimum Q1 Median Q3 Maximum IQR<br />Guarding 40 45.57 11.90 24.20 35.68 45.85 53.55 68.00 17.87<br />Fanning 40 39.83 13.23 13.90 28.10 38.30 49.77 65.60 21.67<br />Variable Skewness<br />Guarding 0.15<br />Fanning 0.20<br />The female has a better mean of working. With the female doing 39% mean fanning rate compared to the 4% of the male fanning rate. Also shown by the negatively skewed male data. Roughly below the 10% mark, with two outliers. While the female standard deviation is slightly higher at 11.90% to the 11.75% of the male standard deviation, shown by the females larger spread of 30% compared the 10% spread of the male fanning data. The male distribution is unimodal: the female distribution is bimodal-with two subgroups between 26% and 28% and from 50% to 53%. As for guarding the male fish make up for poor fanning. With a mean rate of 61% a solid 14% higher than the female fish. With a higher spread shown by their inter quartile range of 54% to 71%.Both sets of data of data are positively skewed, with male data more skewed than the female.<br />Minitab Output I generated during this week/activity 1<br />Variable N Mean SE Mean StDev Minimum Q1 Median Q3 Maximum<br />Pulse1 92 72.87 1.15 11.01 48.00 64.00 71.00 80.00 100.00<br />Weight 92 145.15 2.48 23.74 95.00 125.00 145.00 156.50 215.00<br />Smokes 92 1.6957 0.0482 0.4627 1.0000 1.0000 2.0000 2.0000 2.0000<br />Variable IQR Skewness<br />Pulse1 16.00 0.40<br />Weight 31.50 0.37<br />Smokes 1.0000 -0.86<br />Notes on where this Minitab output is used & personal learning notes<br />Putting to histograms together/or any graphs, one page<br />Looking at the data to see if it is continuous and categorical<br />Making the data say what you want it to say<br />Highlighting the box, when making a graph will make it for your information in your box.<br />Splitting genders, making a box for each<br />References <br />The bible page 5-12<br />Journal Entry for Week & Minitab Activity 2<br />Minitab Output I generated during this week/activity<br />Optional: Annotations about the output<br />Sample means –the vary from sample to sample (when the x are Normally distributed the Sample means are evenly distributed)<br />With a small sample you will have a Normal sample distribution…..<br />Notes on where this Minitab output is used & personal learning notes<br />To test for normality, using a probability plot(by using normality test under sats)(population of numbers is normal with no outliers )<br />Graph generated from specific Normal distribution.<br />Descriptive statics-describe samples<br />Inferential statistics- what does the sample tell about the population<br />References <br />Journal Entry for Week & Minitab Activity 3<br />Minitab Output I generated during this week/activity<br />Notes on where this Minitab output is used & personal learning notes<br />95% = 1.96, 99%= 2.58, 90%= 1.65 confidence intervals(+/-)<br />All confidence intervals found in the z value table<br /> for normal distribution <br />See the light at the end of the tunnel... almost understand…..<br />Usually t distribution<br />If the standard deviation is not present, adjust the z value from the t destitution table with n-1 degrees of freedom<br />If it is less than 40 or more than 15 and the data is not skewd you can use the t distribution<br />References <br />Que4)<br />See appendix at the back<br />Que 5 A)<br />(B) <br />Variable N Mean StDev SE Mean 90% CI<br />Asking Price 695 388.26 243.94 9.25 (373.02, 403.50)<br />I am 90% confident that the population mean for the asking price for the Napier and Hastings regions is between 373.02% and 403.50%.<br />sample of asking $ hastingssample of num of bedrooms, hastings435.003278.003179.502780.003325.003170.003230.002459.003287.503348.003875.003530.005148.003249.003238.003580.0031250.003470.003229.002269.003469.003184.002680.003339.003290.0041250.005498.003225.004198.003264.003900.004174.002255.003290.003685.002835.003345.004800.002295.003387.003<br />sample of asking $ of napierNo. bedrooms hastings-1.053885223-0.5538056361.1170141711.9735395781.386118187-0.976640568-1.4699274220.006997791-0.3072938361.508417051-1.5778663231.5802489740.9640046610.6675815682.100671044-0.1743163220.7297299710.6073356670.107166942-1.5852419061.103932957-0.14920279-0.0746846370.2600169560.3201778140.72199857-0.0729887190.101918204<br />
![Que 1 A) Continuous<br />,[object Object]](https://image.slidesharecdn.com/assement1-100815173225-phpapp02/85/Assement1-1-320.jpg)
