Wednesday, November 27, 2019

Grandparents Essay Example

Grandparents Essay Example Grandparents Essay Grandparents Essay All five of us walk up to the door take our shoes off, making sure we have our clean socks on. We tiptoe through the beautiful brick house, trying not to ruin the surprise. Through the washing room, through the hallway, and through the kitchen we go to find grandma drinking her cup of coffee, and grandpa reading his newspaper out loud for grandma to hear. They Jump out of their chairs thrilled to see us. They hug each one of us and give us bunches of kisses. No matter how old my great grandfather gets, he still feels eke he has to pick me up even though I insist that he stop. We all go in the living room and sit in our usual spots me, and my little brother on the floor where grandma has set two pillows especially Just for us down there. My mom, dad, and older brother sit on the couch, facing the grandparents. Grandma always sets a big bucket of candy by the fireplace for us. For the first few hours that we are there, we all Just sit around and talk about what has been going on in life since the last time we were there. : For nineteen years now, we go and visit the grandparents about two to three times a year. Each time never telling them when we are coming, we Just surprise them every time; they get a kick out of it. We wish we could see them more often, but with our very busy schedules it makes it difficult. We have tried to get them to Rockford right next door to us, which is about three hours where they live now, so we can help them and take care of them. But they insist that it would be too much of a hassle to find new doctors because grandma is very picky on who she and grandpa see. It took them years to get the doctors they have now. Grandma has back problems, gets migraines, and takes every pill in the book. She has had breast cancer and fought through it very well. Grandpa is a strong ole guy and fights through his pains like a champ and never complains. While trying to please my grandma by cutting this branch that was annoying her, he fell off of a ten foot ladder onto concrete having a rock embedded into his elbow. Let me remind you this is an eighty- five year old. Since my grandma is too scared to drive, he had to drive himself to the emergency room himself. He had the rock removed and had to get four stitches. He got back up on his feet and drove back home to grandma. He takes care of my grandmother the majority of the time. He does all the grocery shopping and pays all the bills. He is my hero; I always look up to him. When the clock strikes llama, all of us kids Jump up to go put our bathing suits on and get ready to get in the grandparents outstanding pool. While we swim, we are surrounded by a lot of big beautiful trees blooming with white flowers, wonderfully bloomed flower beds, and little deer, gnome, and turtle figurines all around. The medium sized waterfall makes the swim so much more relaxing. While we swim our parents and grandparents sit here on the porch swing chit chatting away about life and such. After we are all done splash splashing around in the pool we go and Join the parents until we are all dried off then we all go in and take our little thirty minute nap. Then we all meet back to all go out to eat at nice fancy restaurants, but since my grandmother has gotten older and doesnt really like to leave where she feels safe and comfortable, we Just stay in and order pizza. This is perfectly fine with all of us. When the pizza has arrived we all throw the grub on to see who can eat the most slices and of course my rooters always win. After lunch is story time, my favorite time of the day, we all circle up in the living room. Us kids all tell a story about a sports game we played, or just something interesting for the grandparents to listen to. Then the grandparents tell their wonderful stories from back when they were younger. Grandma has some trouble remembering what stories she has told us and what she hasnt told us. But we dont mind at all because there is this story that she is very proud of that she always seems to tell sometimes we even ask her to tell us it again even though we now the story by heart. The story is about when she was a young girl, and her family decided to go on a hiking trip in Idaho Falls. As they were getting all the supplies ready for their trip, my grandmother came across this rope and insisted that she bring this three foot rope. Her father told her No its Just extra baggage that we dont need, but she wouldnt take no for an answer. After her begging and begging to bring that darn rope along, he finally gave in and said, If you want to take it then youll have to carry it yourself. For some reason her gut was telling her to bring it long, so she wrapped it around her shoulder and took the rope along with her. Along the trip, her little sister was acting careless, and fell down the side of a cliff. Grandmas dad looked at her and said Throw me that rope. So my grandma did as she was told and passed along the rope. Her dad wrapped the rope around the only tree up there. He threw the rope to the bottom where her little sister was and he climbed down the rope, threw her little sister on his back and climbed back up saving his little girls life. In the end, neither she nor her father regretted her bringing that pop. My Grandpa has his wonderful stories also. I love when he tells the stories about when he was in Spain with his daughters. Always driving around in his big black truck with the windows down, every Tuesday was their fun day. They would all wake up around seven in the morning and cook eggs, bacon, and pancakes. Then they would all get into grandpas big awesome truck and drive down to their all-time favorite park. They would play hide-and-seek until lunch time. They would then go to deli for lunch and back home to play board games to end off the night. The day his gutters would always talk about were Tuesday and being with their daddy. My grandparents always have the best stories, and they love to tell their stories to us and whoever else would like to listen. Some of their stories make me realize that I really dont have it as bad as I think. They lived with no television, no electronics, and no cell phones. I cannot imagine how I would survive back then knowing all the good stuff we have now a day. Their stories will always have an impact on my life and I will tell their stories to my children and grandchildren. Their stories will forever live even when they are forever gone. After story time comes the hardest time of the day, the goodbyes. My grandma always starts crying she is always saying, This may be the about it and say, Oh grandma we will see you next time. We go back through the kitchen, through the hallway, and out to the garage to put our shoes on. We give last kisses and hugs and say the farewells. Then back into the car and down the driveway, honk honk honk is how we say our final goodbyes to the grandparents and San Antonio until next time. We make our way through the much crowed neighborhood of very nice houses. And on the way back to Rockford we go.

Saturday, November 23, 2019

Quantitative Analysis and Decision Methods Formulas Essay Example

Quantitative Analysis and Decision Methods Formulas Essay Example Quantitative Analysis and Decision Methods Formulas Essay Quantitative Analysis and Decision Methods Formulas Essay Quant Formula Study Guide MISCELLANEOUS, COMMONLY USED FORMULAS Finite population correction factor: Multiply SE of sample mean by fpc to make the correction - Independent samples of same population with same standard deviation (variances are equal). Confidence interval: df for t-multiple is (df1 + df2), or (n1 – 1) + (n2 1) Pooled estimate of common standard deviation: SE of difference between two sample means - Confidence interval for differences in sample means when variance is not equal. df for t-multiple is given by complex formula not shown in book when variance is not equal. Use StatTools. Confidence interval for difference between two proportions. SE for difference between two proportions. - Chapters 2 and 3 Describing the Distribution of a Single Variable and Finding Relationships among variables Mean Formula Excel Function: = AVERAGE Coefficient of Variation: Standard Deviation / Mean Standard Deviation: square root of variance Sample Variance Population Variance Excel Function: Variance = VAR Standard Deviation = STDEV Mean Absolute Deviation Covariance Correlation Excel Function: =CORREL Chapter 4: Probability and Probability Distributions Conditional probability: P(A|B) = P(A and B) / P(B) Multiplication rule: P(A and B) = P(A|B) P(B) If two events are INDEPENDENT: P(A and B) = P(A) P(B) Variance of a Probability Distribution: Standard Deviation of a Probability Distribution: Conditional Mean: * when the mean of a variable depend on an external event Covariance between X and Y: Correlation between X and Y: Joint Probability Formula: P(X = x and Y = y) = P(X = x|Y = y) P(Y = y) Alternative formula: P(X = x and Y = y) = P(Y = y|X = x) P(X = x) Joint probability formula for independent random variables: P(X = x and Y = y) = P(X = x) P(Y = y) Expected value of a weighted sum of random variables: E(Y) = a1E(X1) + a2E(X2) + †¦ + anE(Xn) Chapter 5 Normal, Binomial, Poisson, and Exponential Distributions Normal Density Function Mean Stdev Chapter 7 Sampling and Sampling Distributions Unbiased Property of Sample Mean Standard Error of Sample Mean Approximate Standard Error of Sample Mean Approximate) Confidence Interval for Population Mean Standard Error of Mean with Finite Population Correction Factor Finite Population Correction Factor Chapter 8 Confidence Interval Estimation Typical Form of Confidence Interval Standardized Z-Value Standardized Value Confidence Interval for Population Mean Point Estimate for Population Total Mean and Standard Error of Point Estimate for Population Total Approximate Standard Error of Point Estimate for Population Total Standard Error of Sample Proportion Confidence Interval for a Proportion Upper Limit of a One-Sided Confidence Interval for a Proportion Confidence Interval for Difference Between Means Standard Error of Difference Between Sample Means Confidence Interval for Difference Between Proportions Standard Error of Difference Between Sample Proportions Sample Size Formula for Estimating a Mean Sample Size Formula for Estimating a Proportion Sample Size Formula for Estimating the Difference Between Means Sample Size Formula for Estimating the Difference Between Proportions Chapter 9 Hypothesis Testing Hypothesis Test for a Population Mean: one-sample t-test P(t-valueconst)= ?. Excel functions: TDIST() and TINV() Test statistic for test of proportion: Test statistic for paired samples test of differences between means: Test statistic for independent samples test of difference between means: Standard error for difference between sample proportions: Resulting test statistic for difference between proportions: Chapter 10 Regression Analysis: Estimating Relationships Formula for Correlation: Slope in simple linear regression: Intercept in simple linear regression: Y is the dependent variable, and X1 through Xk are the explanatory variables, then a is the Y-intercept, and b 1 through bk are the slopes. Collectively, a the bs in the equation are called the regression coefficients. Standard Error of Estimate: R squared / R^2 General Linear Regression: Regression line: Sampling distribution of a regression coefficient has a t distribution with n-k-1 degrees of freedom: ANOVA total variation of a variable The part unexplained by the regression equation: The part that is explained: SSR = SST SSE Point Prediction: Standard error of the prediction for a single Y: Standard error of prediction for the mean Y: Chapter 11, Regression Analysis: Statistical Inference Population regression line joining means: ?Y|X1†¦Xk = ? + ? 1X1 + †¦ + ? kXk error a: Y = a + a1X1 + †¦ + akXk + a Regression line : Y = ? + ? 1X1 + †¦ + ? kXk + ? Sampling distribution of a regression coefficient has a t distribution with n-k-1 degrees of freedom: The ANOVA table splits the total variation of a variable: into the part unexplained by the regression equation: Standard error of prediction for a single Y: Standard error of prediction for the mean Y: Chapter 12, Time Series Analysis and Forecasting Mean Absolute Error: Root Mean Square Error: Mean Absolute Percentage Error: All forecasting models have the general form of the equation: Yt = Fitted Value + Residual ?Linear trend model is given by: Yt = a + bt + et Appropriate regression equation contains a multiplicative error term: ut: Yt = cebtut. Equation for the random walk: Yt = Yt-1 + m + et. Simple Exponential Smoothing: ? Formula: Ft+k = Lt = ? Yt + (1 – ? )Lt-1 Formulas for Holt?  ¦s exponential smoothing method: Winters’ Exponential Smoothing Method : Bayes’ Rule: Chapter 13: Introduction to Optimization Modeling No formulas there..

Thursday, November 21, 2019

Role of MIS department Essay Example | Topics and Well Written Essays - 500 words

Role of MIS department - Essay Example The identification of issues that may lead to poor technology management may be the first step in making this improvement possible. Talking to the employees in the department about the use of technology management can improve the attitude they have about the system. Attitude among the staff may be one of the reasons that enable people to do as they wish. Finding out what it is that encourages them to work better with such a system is crucial in improving the system (Megantz, 2002). Privacy issues are also the main cause of poor technology management. Personal information being the key component in running the technology system, employees may be reluctant to give out this information. This is because of fear that people may steal their identities. An example is the login requirement that is present in every system, in a company. This may be the reason as to why it is difficult for them to use the technology system to attain their goals (Megantz, 2002). There might be some strategies that may be used to improve technology management. One of these strategies would be to state the goal of the system. Stating it to the employees in the department is a strategy that enables them to create a target for themselves (Dorf, 1999). In this scenario, every department it is responsible for a set target by the company, and that it must be realised. Another manner in which technology management can be improved is through the creation of a modest learning cycle. This learning cycle helps improve the manner in which employees decide to use the technology system. If they are set in a manner that will deal with the issues that arise from the use of such methods, then it is possible the system can be improved (Dorf, 1999). This may lead to an improvement in the company’s dealings. Using a timeframe strategy for producing results is usually the