and alternative hypotheses. 4. A random sample is obtained from a population with variance ‚ and the sample mean is computed. Test the null hypothesis versus the alternative hypothesis with . compute the critical value ̅ and state your decision rule for the following options: a) Sample size b) Sample size c) Sample size d) Sample size 5. A random sample of is obtained from a population with variance ‚ and the sample mean is computed. Test the null hypothesis versus the People who
Premium Standard deviation Sample size Null hypothesis
Non Performing Assets (npa) in sbi Getting current updates and regulations for the non performing assets (npa) in sbi With a steep rise in the ratio of the nonperforming assets all over the country‚ it has been really tough for the RBI to control and manage in the given time frame. No doubt‚ public sector banks including SBI have been in the list of banks that have been implementing the procedures to control the default line of the borrowers. On the other hand‚ it should also be noted that nonperforming
Premium Standard deviation Variance Sample size
| Basic math symbols Symbol | Symbol Name | Meaning / definition | Example | = | equals sign | equality | 5 = 2+3 | ≠ | not equal sign | inequality | 5 ≠ 4 | > | strict inequality | greater than | 5 > 4 | < | strict inequality | less than | 4 < 5 | ≥ | inequality | greater than or equal to | 5 ≥ 4 | ≤ | inequality | less than or equal to | 4 ≤ 5 | ( ) | parentheses | calculate expression inside first | 2 × (3+5) = 16 | [ ] | brackets | calculate expression inside first
Premium Normal distribution Probability theory Random variable
case‚ whether TATA STEEL or JSP‚ the annualized return is negative. Q) Construct 10 different portfolios with another company (Correl < 0.70) and compute return and risk for each portfolio. Identify the best portfolio. Construct the minimum variance portfolio. Company | Correl | JSP AND TATA STEEL | 0.89 | JSP AND CUMMINS | 0.65 | Initially we compared JSP and TATA STEEL. We found the Correl = 0.89 which was greater than 0.70. Next we compared JSP and Cummins and found the Correl
Premium Variance The Return Standard deviation
UDJ | FINANCE | Use/Name | Formula | Use/Name | Formula | Variance (2) (For Poisson‚ equal to mean) | or n*p*(1-p) | NPV (Costs up front) | | Standard Deviation () | | Discount Factor | _1_ (1+r)n | Exp. Val E(W) of combined linear function | a + bμx + cμx Where b&c are weights | Annuity Discount Factor | 1-DF or 1-_1_ k ( 1+r)n k | Variance (2) of combined lin funct (X‚Y) | b2V(x)+c2V(y)+2bc•Cov(x‚y) Where b&c are
Premium Normal distribution Sample size Standard deviation
The following report presents the detailed statistical analysis of the data collected from a sample of credit customers in the department chain store AJ DAVIS. The 1st individual variable considered is Location. It is a qualitative variable. The three subcategories are Urban‚ Suburban and Rural. Since this is a qualitative variable‚ the measures of central tendency and descriptive statistics has not been computed for this variable. The frequency distribution and pie chart are given as follows:
Premium Standard deviation Variance Arithmetic mean
Summary Chapter 1-7 Chapter 1 * Population – consists of members of a group which you want to draw a conclusion * Sample – portion of population * Parameter – numerical measure that describes a characteristic of a population * Statistic – numerical measure that describes a characteristic of a sample * Descriptive statistics – collecting‚ summarizing and presenting data e.g. survey * Inferential statistics – drawing conclusions about a population based on sample data
Premium Normal distribution Probability theory Random variable
these three possibilities‚ I will address the company’s desire to finish the warehouse expansion in 40 weeks. To do this‚ I used the expected time formula‚ the variance formula‚ standard variance and the “z score.” In the formulas below‚ the optimistic outlook is “a”‚ the most likely is “m”‚ and the pessimistic is “b‚” ℴ is standard variance and the z score is used to find the percentage the warehouse is able to be built in 40 weeks. Additionally‚ the actual expected time is 43 weeks‚ shown below is
Premium Variance Normal distribution Critical path method
Statistics: • Science of gathering‚ analyzing‚ interpreting‚ and presenting data • Measurement taken on a sample • Type of distribution being used to analyze data Descriptive statistics: Using data gathered on a group to describe or reach conclusions about that same group only. Descriptive statistics are the tabular‚ graphical‚ and numerical methods used to summarize data. Collect‚ organize‚ summarize‚ display‚ analyze Eg: According to Consumer Reports‚ General Electric washing machine
Premium Statistics Standard deviation Summary statistics
understand the concept of return‚ and be able to distinguish between realised returns and expected returns ● understand the relationship between expected return and risk ● understand the basic notion of uncertainty and be able to calculate sample variance ● understand the role and importance of the normal distribution. Key points 1 Investing involves allocating wealth to yield future returns. 2 Investments are typically measured according to risk and return. 3 The investment process can be broadly
Premium Investment Standard deviation Variance