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Nonparametric Tests

Parametric or Nonparametric?

A diner has been surveying their customers for the past couple of years about their dining experience in the restaurant. The survey uses a scale of one to five, five being the best to indicate the customer's satisfaction. The diner's customer satisfaction averaged 2.5 last year, but this year it is 2.9. Is this difference sta

Parametric and Nonparametric Data Identification

A catering company is buying equipment in order to set up their own store. They have a choice of two ovens that they can purchase for the store. The used oven is \$100 less than the new oven, but its heating calibration is off by 20 degrees. Which one is a better buy for them? How do I determine if this is parametric or non

Parametric and Nonparametric Data Identification

Label each of the following situations "P" if it is an example of parametric data or "NP" if it is an example of nonparametric data. 1. A manufacturer produces a batch of memory chips (RAM) and measures the mean-time-between-failures (MTBF). The manufacturer then changes a manufacturing process and produces another batch and ag

Indentation of Parametric Nonparametric Data identification are discussed here.

Label each of the following situations "P" if it is an example of parametric data or "NP" if it is an example of nonparametric data. 1. A manufacturer produces a batch of memory chips (RAM) and measures the mean-time-between-failures (MTBF). The manufacturer then changes a manufacturing process and produces another batch and

Explanation and Examples for Parametric and nonparametric methods.

I would like an explanation and example of two statistical methods: 1. Parametric method: - Hypothesis ( null and alternative) - Simple example and explanation in layman's terms - Confidence level 90% - Need the critical value explains how attained - Need Z-score an

2 statistics questions: Type of study design and significance tests

Question 1. As part of an internal audit of its bidding process, a company selected a random sample of 20 recently completed projects for review. One aspect concerned the procedure for estimating labour costs on projects. Data were collected on the estimated labour costs and the actual labour costs (in thousands of dollars) fo

Statistics: Non-Parametric Method Sign Test Exercise

Using the non-parametric method - Sign Test to complete the following. Are stock splits beneficial to stockholders? SNL Securities studied stock splits in the banking industry over an 18-month period and found that stock splits tended to increase the value of an individual?s stock holding. Assume that of a sample of 20 recent s

What are various non-parametric tests utilized in business decision making? Give an example of each test with an appropriate business situation.

Nonparametric Tests: Central Limit Theorem

Nonparametric tests are often used in place of their parametric counterparts when the distributional assumption, usually the normal distribution assumption, is questionable AND the sample size is small, say less than 30. When the sample size is large, the central limit theorem kicks in and usually it is OK to use a parametric te

Parametric and nonparametric

Label each of the following situations "P" if it is an example of parametric data or "NP" if it is an example of nonparametric data. A manufacturer produces a batch of memory chips (RAM) and measures the mean-time-between-failures (MTBF). The manufacturer then changes a manufacturing process and produces another batch and aga

Conduct and interpret the appropriate analysis to determine if lecithin significantly improved memory

1. Does lecithin enhance memory? To test this idea, nine pairs of people matched in terms of age, sex, IQ and neurological status are given capsules containing either lecithin or a placebo at meals for a week. All are scored on a recent memory task. A higher score indicates better task performance. Pair lecithin Placebo

Compare and contrast the characteristics of parametric and non-parametric test methodologies

Compare and contrast the characteristics of parametric and non-parametric test methodologies. Give examples of when to use each. Discuss the role of variance in difference of means hypothesis testing. Is it critical to the result? Why or why not. Why do we care?

"P" if it is an example of parametric data or "NP" if it is an example of nonparametric data.

Label each of the following situations "P" if it is an example of parametric data or "NP" if it is an example of nonparametric data. 1. A manufacturer produces a batch of memory chips (RAM) and measures the mean-time-between-failures (MTBF). The manufacturer then changes a manufacturing process and produces another batch and

NONPARAMETRIC STATISTICS/CRITICAL THINKING

In 1970, a lottery was used to determine who would be drafted into the U.S. Army. The 366 dates in the year were placed in individual capsules. First , the 31 Jan. capsules were placed in a box; then the 29 Feb. capsules were added and the two months were mixed. Then the 31 March capsules were added and the three months were mi

Parametric or Non-parametric

Label each of the following situations "P" if it is an example of parametric data or "NP" if it is an example of nonparametric data. 1. A catering company is buying equipment in order to set up their own store. They have a choice of two ovens that they can purchase for the store. The used oven is \$100 less than the new oven, bu

Statistics Parametric and Nonparametric Data Identification Assignment

1. A manufacturer produces a batch of memory chips (RAM) and measures the mean-time-between-failures (MTBF). The manufacturer then changes a manufacturing process and produces another batch and again measures the MTBF. Did the change to the process improve the MTBF? 2. From a written survey where the respondents were asked

A. Use the runs test to test the sequence for randomness above and below the median of 183.5 Use the Kruskal-Wallis test to test the claim that 12 months had priority numbers drawn from the same population.

Please show answers with all steps. For data please see the attached file. There is supposed to be a separate executive summary, covey style, no margin notes and a separate document with statistical test for case. "Was the draft lottery random? a. Use the runs test to test the sequence for randomness above and below the

Parametric and Nonparametric Data Identification: A manufacturer produces a batch of memory chips (RAM) and measures the mean-time-between-failures (MTBF).

Parametric and Nonparametric Data Identification Label each of the following situations "P" if it is an example of parametric data or "NP" if it is an example of nonparametric data. 1. A manufacturer produces a batch of memory chips (RAM) and measures the mean-time-between-failures (MTBF). The manufacturer then change

Testing of hypothesis problems: T test and Z test

1. Find the critical values for the alternative hypothesis: H1: p not equal to 0.18 ,alpha =0.09. Assume that the normal distribution applies. What are the critical values? 2. A student claimed that the proportion of students using the current recreation centre is less than 0.4. A survey of 900 students resulted in 47% say

Anova and Non-Parametric Statistics

You are interested in ratings of cell phone service by 5 different carriers. 10 people rate each of the five carriers. The data that you collect is the number of people who rated each of the services favorably and the number of people that rated each of these services unfavorably. Which test would be appropriate to use in thi

Non Parametric Test : Wilcoxon Rank-Sum Test

The following observations were randomly selected from populations that are not necessarily normally distributed. Use the .5 significance level, a two-tailed test, and the Wilcoxon rank-sum test to determine whether there is a difference between the two populations. Population A: 12,14,15,19,23,29,33,40,51 Population B: 13,1

Analysis of Variance Chest Deceleration in a Car Crash

Chest Deceleration in a Car Crash: The chest deceleration data (g) are given below. Use a 0.05 significance level to test null hypothesis that the different weight categories have the same mean. Do the data suggest that larger cars are safer? Subcompact: 681 428 917 898 420 Compact 643 655 442 514 525 Midsize: 469 727

Run test : The non parametric test for randomness.

Critical Thinking: Was the draft lottery random? In 1970, a lottery was used to determine who would be drafted into the U.S Army. The 366 dates in the year were placed individual capsules. First, the 31 January capsules were placed in a box; then the 29 February capsules were added and the two months were mixed. Then the 31

Use of Kruskal-Wallace and ANOVA

I would like a comparison of ANOVA tests and Kruskal-Wallace testing. When is it best to use each one? I would also like a basic description of each.

Use for parametric testing

When would one use nonparametric tests at the place of employment, in education, or in politics?

Statistical tests: non-parametric tests

What are examples in which non-parametric tests are used to analyze business related problems in general, and more specifically, problems related to marketing?

Usage of ANOVA, Non-Parametric tests

1. Can you think of an example where the analysis of variance (ANOVA) can be used? How is ANOVA being used in the workplace, or how should it be used? 2. Analysis of variance (ANOVA) is used to determine if there is a difference between the means of different populations. This is an example from a student in Prescott Arizona.

Z Test, T Test and Chi Square

I am having a problem understanding how and why I would use a Z test, T test and Chi square in a preschool setting. Can you explain?

Parametric and non parametric

Label each with either P or NP for each example. Either Parametric or Nonparametric. 1. In a comparison of two towns, is the average height of its residents the same? 2. A manufacturer produces a batch of memory chips (RAM) and measures the mean-time-between-failures (MTBF). The manufacturer then changes a manufacturing

"Goodness-of-fit test" vs "chi-square test for independence"

The "goodness-of-fit test" and the "chi-square test for independence" both are used for hypothesis testing. These are easy to get mixed up. What is the difference in how each is used to test hypothesis?