descriptive stats
... twice as variable as that of head circumference. Remember, the CV allows you to compare the relative variability between variables that have different means such as the head and height data. ...
... twice as variable as that of head circumference. Remember, the CV allows you to compare the relative variability between variables that have different means such as the head and height data. ...
hypothesis testing
... The two populations are sampled and the means and variances computed based on the samples of sizes n1 and n2 If both populations are found to have the same variance then A t-statistic is calculated. The comparison of means of independent samples assumes that the variances are equal. If the vari ...
... The two populations are sampled and the means and variances computed based on the samples of sizes n1 and n2 If both populations are found to have the same variance then A t-statistic is calculated. The comparison of means of independent samples assumes that the variances are equal. If the vari ...
Outline File - Faculty of Business and Economics Courses
... The aim of this course is to familiarize students with the basic concepts and techniques in statistics. To enhance the analytical skills of students to interpret data and to produce information for decision making in functional areas of business and economics. To help students think statistically an ...
... The aim of this course is to familiarize students with the basic concepts and techniques in statistics. To enhance the analytical skills of students to interpret data and to produce information for decision making in functional areas of business and economics. To help students think statistically an ...
Be sure to use the Microsoft Equation Editor to show
... c) Explain why the 80% confidence interval is narrower. Because it requires less assurance that the mean lies within the interval. As the interval width increases there is more assurance it will cover the mean. ...
... c) Explain why the 80% confidence interval is narrower. Because it requires less assurance that the mean lies within the interval. As the interval width increases there is more assurance it will cover the mean. ...
Hypothesis Testing
... Section 11.1 ~ Comparing Two Population Means Using Dependent or Paired Samples When using dependent samples each observation from population 1 has a one-to-one correspondence with an observation from population 2. One of the most common cases where this arises is when we measure the response on the ...
... Section 11.1 ~ Comparing Two Population Means Using Dependent or Paired Samples When using dependent samples each observation from population 1 has a one-to-one correspondence with an observation from population 2. One of the most common cases where this arises is when we measure the response on the ...
Lecture Notes-RM Capters 9&5-Measures of Central Tendency
... 1. Confidence Intervals: How confident we are that our sample’s result captured the population parameter within a certain range (margin of error). 2. Tests of significance: We make a claim about the population and use the sample’s results to test that claim. Want to determine the probability of our ...
... 1. Confidence Intervals: How confident we are that our sample’s result captured the population parameter within a certain range (margin of error). 2. Tests of significance: We make a claim about the population and use the sample’s results to test that claim. Want to determine the probability of our ...
