BUSINESS STATISTICS Agenda Introduction Descriptive Statistics One–Tailed Test About a Population Mean t-Test Using Two Independent Samples t-Test For Paired Samples Analysis of Variance (ANOVA) Regression Analysis U.S. Patent and Trademark Office (PT0) Descriptive Statistics Frequency Vs Total Provisional Filings One–Tailed Test About a Population Mean Selected a small sample of 12 months’ provisional application filings for large US entities (for fiscal year 1996) 1. Determine the Hypotheses
Premium Statistics
Introducing Criminology. Academic Session 2011 - 2012 ASSIGNMENT STATEMENT. . “Crime statistics do not accurately reflect the nature and extent of crime in our society.” STUDENT NAME: Richard Irwin STUDENT NUMBER: XXXXXX TUTOR: XXXXXX WORD COUNT: XXXX Excluding Bibliography‚ Appendices and Footnotes) CONTENTS ASSIGNMENT BIBLIOGRAPHY APPENDICIES Crime statistics do not accurately reflect the nature and extent of crime in our society. In order to answer
Premium Crime Police Criminology
What proportion of a normal distribution is located in the tail beyond z = +2.00? 0.0228 What proportion of a normal distribution is located between the mean and z = 1.40? 0.4192 The Z-score corresponding to the 52nd percentile is .05 A normally distributed variable has a mean of 10 and a standard deviation of 2. The probability that a value between 7 and 9 is obtained is .2417 An accelerated life test on a large number of type-D alkaline batteries revealed that the mean life for a particular use
Premium Statistical hypothesis testing Arithmetic mean Normal distribution
the investment can be as large as 0.6015. However‚ the risk of loss was round 7%‚ while the chance to gain between 0 – 0.8 was very high‚ nearly 78%. For stock 2‚ the median was 0.0511‚ mean was 0.096413‚ the loss of investment can be as large as -0.9963‚ and the gain of the investment can be as large as 1.519. The risk to loss for stock 2 was about 12%‚ the chance to gain between 0-0.8 was nearly 64%‚ and the chance to gain between 0.8 and 1.2 was relative big‚ round 17%. For stock 3‚ the median
Premium Standard deviation Normal distribution Statistics
Chebyshev’s Theorem and The Empirical Rule Suppose we ask 1000 people what their age is. If this is a representative sample then there will be very few people of 1-2 years old just as there will not be many 95 year olds. Most will have an age somewhere in their 30’s or 40’s. A list of the number of people of a certain age may look like this: |Age |Number of people | |0 |1 | |1 |2 | |2 |3
Premium Standard deviation Normal distribution Arithmetic mean
s: 10.748316881702 Sample Standard Variance‚ s2 115.52631578947 Total Numbers‚ N 20 Sum: 950 Mean (Average): 47.5 Population Standard Deviation‚ σ 10.476163419878 Population Standard Variance‚ σ2 109.75 If it follows the normal distribution The 68.3% measure confidence range‚ σ 36.751683118298 - 58.248316881702 The 90% measure confidence range‚ 1.645σ 29.819018729601 - 65.180981270399 The 95% measure confidence range‚ 1.960σ 26.433298911865 - 68.566701088135 The 99% measure
Premium Standard deviation Arithmetic mean Statistics
What is Bootstrapping (In Statistics)? Bootstrapping is an interesting process or technique of assigning measure of accuracy. Depended upon calculation‚ Bootstrapping can be used to any statistic to measure estimation. Definition According to the Cambridge dictionary of statistics – “A confidence interval is a range of values‚ calculated from the sample observations that are believed‚ with a particular probability‚ to contain the true parameter value. A 95% confidence interval‚ for example‚ implies
Premium Statistics Arithmetic mean Measurement
the appropriate statistical test when there is one nominal independent variable with at least 3 levels; one sacle DV‚ and either between groups or within groups design 2) One way ANOVA Null Hypothesis: No differences between population means. µ1=µ2=µ3 Alternative Hypothesis: At least one pop mean is different from at least one other pop mean. (Can’t use symbols) 3) Numerator of the F statistic measures between groups variance (MSbetween) 4) Denominator of the F statistic measures within groups
Premium Analysis of variance Statistics Null hypothesis
MAT 300: STATISTICS M&M PROJECT PAPER ALEXANDREA WINT PROFESSOR AZAD‚ VARGHA June 3‚ 2012 Purpose of Report The purpose of this project is to find the information for a quality control manager of Masterfoods plant. The manager wants to know about the proportion of candies and if they are the same or different. If there is any difference that exists then the manager wants to know why there is a difference in such cases. A study was conducted and results were obtained and based
Premium Sample Statistics Sample size
EXERCISE 29 t-TEST FOR INDEPENDENT GROUPS I STATISTICAL TECHNIQUE IN REVIEW The t-test is a parametric analysis technique used to determine significant differences between the scores obtained from two groups. The t-test uses the standard deviation to estimate the standard error of the sampling distribution and examines the differences between the means of the two groups. Since the t-test is considered fairly easy to calculate‚ researchers often use it in determining differences between two groups
Premium Statistics Statistical hypothesis testing Normal distribution