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Introduce your scenario and data set.
Provide a brief overview of the scenario you are given and describe the data set.
Describe how you will be analyzing the data set.
Classify the variables in your data set.
Which variables are quantitative/qualitative?
If it is a quantitative variable, is it discrete or continuous?
Describe the level of measurement for each variable included in the data set (nominal, ordinal, interval, ratio).
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Discuss the importance of the Measures of Center.
Name and describe each measure of center.
Discuss the advantages and/or disadvantages of each.
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Discuss the importance of the Measures of Variation.
Name and describe each measure of variation.
Discuss the advantages and/or disadvantages of each.
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Calculate the measures of center and measures of variation from the data set and list them below. Be sure to include (a) an interpretation of each measure in context of the scenario (for example, if the median is larger than the mean, what does it mean? What does the value of standard deviation tell you?) and (b) correct units of measurement. Show your calculations in your spreadsheet. You do not need to include Excel functions in your written answer below.
Mean
Median
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Midrange
Range
Variance
Standard deviation
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
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Most Popular Content
Introduction to Casino Management
I need both Assignment's done on seperate files. Just include answers in the right floder. I gave you a nice powerpoint to ...
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Introduce your scenario and data set.
Provide a brief overview of the scenario you are given and describe the data set.
Describe how you will be analyzing the data set.
Classify the variables in your data set.
Which variables are quantitative/qualitative?
If it is a quantitative variable, is it discrete or continuous?
Describe the level of measurement for each variable included in the data set (nominal, ordinal, interval, ratio).
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Discuss the importance of the Measures of Center.
Name and describe each measure of center.
Discuss the advantages and/or disadvantages of each.
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Discuss the importance of the Measures of Variation.
Name and describe each measure of variation.
Discuss the advantages and/or disadvantages of each.
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Calculate the measures of center and measures of variation from the data set and list them below. Be sure to include (a) an interpretation of each measure in context of the scenario (for example, if the median is larger than the mean, what does it mean? What does the value of standard deviation tell you?) and (b) correct units of measurement. Show your calculations in your spreadsheet. You do not need to include Excel functions in your written answer below.
Mean
Median
Mode
Midrange
Range
Variance
Standard deviation
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Hillsborough Community College Nonparametric Tests Discussion
Choose two of the following three questions and post your answer:1. In your own words, what is a nonparametric test? Wha ...
Hillsborough Community College Nonparametric Tests Discussion
Choose two of the following three questions and post your answer:1. In your own words, what is a nonparametric test? What is a parametric test (Section 13-2)?2. In your own words, identify an advantage of using rank correlation instead of linear correlation (Section 13-6).3. In your own words, what is the difference between a nonparametric test and a distribution-free test (Section 13-7)?use your own words!!Replies:Andressa- 1. In your own words, what is a nonparametric test? What is a parametric test (Section 13-2)?The parametric test is the hypothesis test which provides generalisations for making statements about the mean of the parent population. A t-test based on Student’s t-statistic, which is often used in this regard. The t-statistic rests on the underlying assumption that there is the normal distribution of variable and the mean in known or assumed to be known. The population variance is calculated for the sample. It is assumed that the variables of interest, in the population are measured on an interval scale.The nonparametric test is defined as the hypothesis test which is not based on underlying assumptions, i.e. it does not require population’s distribution to be denoted by specific parameters. The test is mainly based on differences in medians. Hence, it is alternately known as the distribution-free test. The test assumes that the variables are measured on a nominal or ordinal level. It is used when the independent variables are non-metric.3. In your own words, what is the difference between a nonparametric test and a distribution-free test (Section 13-7)?Nonparametric Test: Those procedures that test hypotheses that tests hypotheses that are not statements about population parameters are classified as nonparametric.Distribution free procedure: Those procedures that make no assumption about the sampled population are called distribution free procedures.Greg- Rank correlation had an advantage over linear correlation in that it can be used when data is not normal, but it's either categorical or ordinal. Linear correlation only applies when the data is normal and follows a linear pattern. Rank correlation allows us to find the correlation for data that does not fit this. Parametric tests are used when we have assumptions about the distribution of the population that the data was taken from. An example of this would be t tests. In contrast, nonparametric tests are not based on such assumptions and the data can be from a population that is not normally distributed. The Wilcoxon test is a nonparametric test.
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I will give you the files to the answer key please show. your workComplete problems #1-8 all and #13 from Problem Set Sect ...
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Completely and accurately answer ALL questions. Double check answers to make sure they are 1. Write √16⋅ 2 as a single ...
Rational Exponents Radicals And Complex Numbers
Completely and accurately answer ALL questions. Double check answers to make sure they are 1. Write √16⋅ 2 as a single power of 2. Carefully show ...
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