Chanelle Henderson Math533 Applied Managerial Statistics Prof. Lisabeth Goble Week 6: Project B: Testing Hypothesis Testing and Confidence Intervals A. The average annual income was less than $50‚000 Null Hypothesis: The average annual income was greater than or equal to $50‚000H₀: µ ≥ 50‚000 Alternate Hypothesis: The average annual income was less than $50‚000. (Claim)Ha: µ <50‚000 Analysis Plan: Significance Level‚ α=0.05.Since the sample size‚ n > 30 I will use z-test for mean to test the
Premium Statistical hypothesis testing Statistics Statistical inference
Project Part B: Hypothesis Testing and Confidence Intervals a. The average (mean) annual income was less than $50‚000 Null Hypothesis: The average annual income was greater than or equal to $50‚000 H₀: µ > 50000 Alternate Hypothesis: The average annual income was less than $50‚000. Ha: µ > 50000 Analysis Plan: Significance Level‚ α=0.05. Since the sample size‚ n > 30 I will use z-test for mean to test the given hypothesis. As the alternative hypothesis is Ha: µ > 50000‚ the given test is
Premium Statistical hypothesis testing Statistics Statistical inference
distribution) • But how close is close enough? Estimation and Confidence • We can ask this question more formally: • (1) How confident can we be that a statistic falls within a certain distance of a parameter • (2) What is the probability that the parameter is within a certain range that includes our sample statistic • This range is known as a confidence interval • This probability is the confidence level Confidence Interval & Probability • A confidence
Premium Normal distribution
SOC 222 -- MEASURING the SOCIAL WORLD Session #6 -- CONFIDENCE INTERVALS Oct 2013 TODAY’S OBJECTIVES 1. Understand what confidence intervals tell us 2. Understand how we get them 3. Know the SPSS procedure for getting confidence intervals Terms to Know Confidence interval Mu (μ) t-curve normal curve RICK’S SITUATION Recap His RQ: Population: Real population mean: Sample: Sample mean: 6 Sampling distribution: 2 Estimated mean
Premium Normal distribution Statistics Standard deviation
the fact that a mistake has been made. It simply means that you have based your findings on incomplete yet representative data. Procedures exist for estimating the maximum amount of sampling error. You will be able to state with a large degree of confidence how much difference there is between your estimate (a statistic) and the true answer (a parameter). Terms Random variable - A characteristic of interest such as the amount spent per year by a Baylor student eating at fast food restaurants
Premium Normal distribution Standard deviation Confidence interval
A2 Practical Investigations Title: The effect of Temperature on the growth of Aspergillus oryzae Develop a Hypothesis This particular investigation is to discover how a range of temperatures effects the growth rate of the fungi Aspergillus oryzae. Most fungi’s tend to survive within the temperature range of 5-35oC‚ with the optimum depending on their normal environmental temperature. The fungi Aspergillus oryzae is heterotrophic which means they taken in their food from dead organic matter and cannot
Free Agar plate Petri dish Fungus
Math 533 Project Part B In regards to the dataset from AJ Department store‚ your manager has speculated the following: the average (mean) annual income is less than $50‚000‚ the true population proportion of customers who live in an urban area exceeds 40%‚ the average (mean) number of years lived in the current home is less than 13 years‚ the average (mean) credit balance for suburban customers is more than $4300. Part 1. Using the sample data‚ perform
Premium Statistical hypothesis testing Statistics Statistical inference
Unit VI Assessment Doctorate Of Business Administration Degree Dhana K. Jones Columbia Southern University DBA 8230-11C Dr. Castle January 15‚ 2015 Unit IV Assessment Question 1 Descriptive statistics refers to examining data to determine average‚ mode‚ median‚ kurtosis‚ skewness‚ and correlation. Statistical average is referred to as the mean. Researchers determine the mean by dividing the sum of observed values by the number of observations (n). Field (1998) states‚ statistical average (mean)
Premium Normal distribution Statistics Arithmetic mean
Math 221 Week 6 Lab Submitted by: Merima Ceric Part 1. Normal Distributions and Birth Weights in America 1) What percent of the babies born with each gestation period have a low birth weight (under 5.5 pounds)? a) Under 28 = 99.88% The NORMDIST formula was used to calculate: =NORMDIST(5.5‚1.88‚1.99‚True) X= 5.5 Mean= 1.88 Standard Deviation=1.19 b) 32 to 35 weeks = 43.83% The NORMDIST formula
Premium Normal distribution Sample size Standard deviation
Does the true population proportion of customers who live in an urban area exceed 45%? Is the average number of years lived in the current home less than 8 years? Is the credit balance for suburban customers more than $3200? Hypothesis testing and confidence intervals for situations A-D are calculated. A. THE AVERAGE (MEAN) ANNUAL INCOME WAS LESS THAN $45‚000. Solution: Step 1: Null Hypothesis: The average (mean) annual income was equal to $45‚000. H_0: μ=45‚0000 Step2: Alternate Hypothesis: The
Premium Statistical hypothesis testing Statistics Statistical inference