Statistics is the study of the collection‚ organization‚ analysis‚ interpretation and presentation of data. It deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments. Descriptive statistics is the discipline of quantitatively describing the main features of a collection of information‚ or the quantitative description itself. Descriptive statistics are distinguished from inferential statistics (or inductive statistics)‚ in that
Premium Scientific method Population Level of measurement
Running head: [M1A BUS210] [M1A BUS210] Anthony Johnson Allied American University Author Note This paper was prepared for [Business Statistics I]‚ [M1A] taught by [John Hannon]. PART I: APPLICATION Directions: Please answer each of the following questions (responses should be at least two paragraphs in length and be written in complete sentences‚ if applicable). Show essential calculations‚ if applicable. 1. Describe the difference between a population and a sample. A population
Premium Statistics Sample Sampling
| Statistics 101 Report | The Kentucky Milk Case Study | | | | Preliminary Analysis 2a) Figure 1: X as a Data Object X is a data frame as derived from the program R shown above in Figure 1. There are 274 observations of 11 variables. The number of observations is obtained from the number of rows while the number of variables is obtained from the number of columns. 2b) Figure 2: Creating a sub-data frame from X Figure 3:Sub-data frame from X Figure 2 shows a screenshot
Premium Standard deviation Median Data analysis
distribution function for 100 normal random numbers. The K-S test is based on the maximum distance between these two curves. Characteristics and Limitations of the K-S TestAn attractive feature of this test is that the distribution of the K-S test statistic itself does not depend on the underlying cumulative distribution function being tested. Another advantage is that it is an exact test (the chi-square goodness-of-fit test depends on an adequate sample size for the approximations to be valid). Despite
Premium Normal distribution
Week 5 checkpoint IT The credit card data theft at TJX Companies is considered one of the worst ever. The case is significant because of a lack of appropriate security and control. Resources: Ch. 7 & 12 of Essentials of Management Information Systems Answer the following questions in 200 to 300 words: •List and describe the security controls in place. Where are the weaknesses? The thieves used several entry points to access TJX corporation systems. They accessed many TJX’s retail
Premium Credit card Debit card Identity theft
9.18 a) Using forward stepwise regression to find the best subset of predictor variables to predict job proficiency. The Alpha-to-Enter significance level was set at 0.05 and the Alpha-to-Leave significance level was set at 0.10. The first predictor entered into the stepwise model is X3. SAS tells us that the estimated intercept is -106.13 and the estimated slope for X3 is 1.968. The R2-value is 0.8047‚ mean square error is 76.87. The second predictor entered into the stepwise model is X1.
Premium Regression analysis Stepwise regression Statistics
4 (High)‚ and 5 (Very High) in the areas of likelihood of risk occurring and risk impact on the project. The detection difficulty was scored using a scale ranging from 1 (no warning time)‚ 2 (low warning time)‚ 3 (moderate warning time)‚ 4 (high warning time)‚ and 5 (extremely high warning time). A higher score provides more time to identify and mitigate or respond to the issue.” Risk Event Likelihood Impact Detection Difficulty When Vendors unable to meet deadlines 2 5 1 During contract
Premium Risk
distribution for this data set and then estimate the mean response time. Explain why your answer is only an estimate of the mean of this data set. (5 marks) (b) The numbers of SPAM EMAILS received by 750 DKIT computing students over a one week period‚ were recorded as follows: No of SPAM EMAILS Received | Number of students | less than 5 | 68 | between 5 and 10 | 176 | between 10 and 15 | 244 | between 15 and 20 | 193 | between 20 and 25 | 42 | between 25 and 30 | 27 |
Premium Normal distribution Standard deviation Random variable
interest exp. (400‚000 + ½ (300‚000)) 5% = (550‚000) 5% = 27‚500 Long-term interest exp. (400‚000 + ½ (300‚000)) 10% = (550‚000) 10% = 55‚000 27‚500 + 55‚000 = 82‚500 Earnings before interest and taxes = 200‚000 Interest expenses = 82‚500 Earnings before taxes = 200‚000 – 82‚500 = 117‚500 Taxes = 117‚500 X 34% = 39‚950 Earnings after interest and taxes = 200‚000 – 82‚500 – 39‚950 = 77‚550 B. Short-term interest exp. ( ½ (400‚000)) 5% = (200‚000) 5% = 10‚000 Long-term interest exp. (400
Premium Finance Economics
description and confirmation of relationships between variables are very important in research. Copyright ©2011 Brooks/Cole‚ Cengage Learning 2 Three Tools we will use … • Scatterplot‚ a two-dimensional graph of data values • Correlation‚ a statistic that measures the strength and direction of a linear relationship between two quantitative variables. • Regression equation‚ an equation that describes the average relationship between a quantitative response and explanatory variable. Copyright
Premium Regression analysis Linear regression Errors and residuals in statistics