Advanced Nursing Inquiry and Evidence Based Practice
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krichards17
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krichards17 1d
Welcome back to Padlet to continue your Module 10 Histogram Assignment! Follow these instructions to completion: - Double click on the screen to create your own Padlet memo like this one. PC Users: Click on the upload arrow at the bottom of your Padlet memo and follow directions to upload your Histogram. When the image apears at the right of your screen, click on it to add it to your Padlet memo. Mac Users: To save the image (PNG file): Shift + Command + 3 (to screenshot image) Use cursor to select Histogram imageSelect Tools under toolbar and cropIts now cropped and saved as a PNG file. On padlet, follow instructions as is, the image will pop in once you click upload arrow. EVERYONE: Answer ALL of the following questions to receive full points. Q 1 is application of learning from Module 9 combined with new learning from Module 10. Q's 2-6 require interpretation of your Histogram. 1. Based only on the level of measurement (NOIR Scale) of the quiz scores, would the appropriate branch of statistics to analyze the scores be parametric or non-parametric? Explain. 2. Is the distribution of the Quiz 1 scores normal or skewed? Explain. 3. If the distribution of quiz scores is skewed, is the direction of the skew positive or negative? Explain. 4. If quiz scores are normally distributed, would the appropriate branch of statistics used to analyze these data be parametric or non-parametric? Explain. 5. If distribution of quiz scores is skewed, would the appropriate branch of statistics used to analyze these data be parametric or non-parametric? Explain. 6. Return to your course to complete the final step in the discussion forum. This must be completed to have your attendance recorded for Week 10.
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krichards17 1d
PS. Remember to add your name to your post...
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Anonymous 1d
Histogram Assignment
by Natalie Jimenez
1. Since the data set is close to normal, yet. Not normal, and the median value of 86 better represents the center of the data distribution, the non-parametric level of measurement would be more appropriate in this case.
2. The distribution is slightly skewed since the median value is 86 while the mean is almost 84, yet the difference is not large, which would make the data set also close to normal. Since the data is asymmetrical, and there is this difference, the correct selection would be skewed.
3. Negative since pval=0.039. There are lower frequencies to the left of the curve.
4. If the scores were normally distributed, the appropriate branch would be parametric. Parametric tests are those that make assumptions about the parameters of the population distribution from which the sample is drawn. This is often the assumption that the population data are normally distributed. Non-parametric tests are “distribution-free” and, as such, can be used for non-Normal variables.
5. If the scores were skewed, the appropriate branch would be non-parametric. If the mean more accurately represents the center of the distribution of your data, and your sample size is large enough, use a parametric test. If the median more accurately represents the center of the distribution of your data, use a nonparametric test even if you have a large sample size.
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Anonymous 2h
By Mabel Macias
1)-The most appropriate level of measurement, in this case, would be non-parametric. Nonparametric methods return ordinal data. This method makes fewer assumptions, so its applicability is broader. Used when the independent variables are non-metric. If the test is statistically significant (eg, p <0.05), then the data do not follow a normal distribution and a nonparametric test is warranted.
2)-I consider that the distribution is skewed since one of its tails is longer than the other. The skewness shows that a small number of students achieved t-scores lower than 75 points.
3)-The direction of distribution is negative skew (Asymmetrical, left/negative, pval=0.039). because it is skewed on the left side, the tail is larger on the left. Positive skew is the result of a lower bound in a data set, while the negative skew is due to a higher upper bound. A negatively skewed distribution is one in which the tail of the distribution shifts to the left side of the peak.
4)-If the scores were normally distributed, the appropriate branch would be parametric. If the mean is a better measure and you have a large enough sample size, a parametric test is usually the best and most powerful option. Parametric tests require measures equivalent to at least an interval scale and assume that certain properties of the study source population are based on a large sample (> 30)
5)-The appropriate thing would be the non-parametric tests since they are "free of distribution" and, as such, they can be used for non-normal variables. If you do not meet the sample size guidelines for parametric tests and you are not sure that you have normally distributed data, you should use a nonparametric test. If the test is statistically significant (eg, P <0.05), the data do not follow a normal distribution and a nonparametric test is warranted.
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Daisy Gonzalez R. 3h
Daisy Gonzalez R.
Interpretation.
1- Giving and interpretation and acording to the distribution of the data, I believe that the non - parametric level measurement would be the most appropriate.
2- The distribution is skewed with insignificant differences between the values and approaching normality.
3- In this case the direction of the distribution is negative and to the left with pval = 0.039
4- In the case that the test scores were normally distributed, the appropriate branch of statistics to analyze the data would be parametric since these tests assume statistical distributions underlying the data, use calculations and procedures assuming that you know how the variable to be studied is distributed .
5- As the score of the distribution of the tests is biased, the appropriate branch of statistics would be non-parametric, they are based on hypotheses where the observed data do not have a normal organization, it is a measurement method that is difficult to apply.
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Anonymous 8h
Ismary Morlote
Interpretation from histogram
Answers:
1. Based on the level of measurement the appropriate branch of statistical to analyze the scores be non-parametric of because the distribution of data is not normal (asymmetric) coming from ordinal data (NOIR) and the sampling is greater than 15 (large).
2. The distribution of the quiz score is skewed because the tail is longer on the left side and has asymmetrical distribution. Even the mean and median has different values.
3. The direction of distribution is negative skew because is asymmetrical left side, the tail is larger on left. (pval=0.039)
4. If the quiz scores were normally distributed the appropriate branch of statistic used to analyze data be parametric where the data followed bells shape coming from interval NOIR as dependent variable and the mean is central measure.
5. If the quiz scores were skewed, the appropriate branch of statistic used to analyze data be non-parametric because the data used are from nominal or ordinal level, the distribution will be asymmetrical to left or right side means positive or negative, median is a central measure, the sample size is large in each group and the measures of central tendency are different.
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Jose Marino Morales 2h
Interpretation of the histogramAnswers: 1. According to the level of measurement, an adequate way of statistical analysis to interpret the non-parametric scores given that the data disposition is not normal (asymmetric) in relation to ordinal data (NOIR) and that the nominal base of the sampling is greater than 15 percentage points. 2. The disposition of the points in the exam are found with deviation to the left in their most extended trait, generating an asymmetric orientation, with differentiated values in the different data parameters. 3. The asymmetric arrangement with orientation to the left is interpreted negatively, with interpretation of the Pval (0.039 ~ 0.040) 4. The exam score has a provision that in the data analysis has a parametric interpretation, where the information suggests variable data according to the mean of the information base. 5. The information on the test scores is interpreted as non-parametric in the analysis of the mean of data produced by the largest sample of information in relation to the test scores, all based on the interpretation of the information provided.
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Anonymous 2h
Tamara Lopez
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Anonymous 1m
Leyany Bauta
1.
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Janet Gutierrez 2h
yanet gutierrez bacallao
histogram interpretation:
1- Based on the NOIR scale for me the appropriated branch of statistics to analyze the score will be no parametric, it is larger and asymmetric sampling.
2- The distribution of the quiz score is skewed due there is not symmetric distribution of the histogram.
3- The direction of the skewed is negative because the histogram shows a long tail in the negative direction. (pval=0.039)
4- Parametric statistics would be the appropriated to be used to analyze these data due the mean, median and mode are the same.
5- No parametric statistics would be the appropriated to be used to analyze these data due the distribution will be asymmetrical.
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Anonymous 1h
Histogram Assignment.
Aida Grisel Casalis Calvo.
1- I think that non-parametric test should be chosen; nonparametric methods are utilized when data is continuous and has a non-normal distribution, or when data is not continuous.
2- When data cluster more on one side of the graph than the other, the distribution is said to be skewed, resulting in an asymmetrical curve. The quiz will assess your understanding of the terms positively and negatively skewed distributions, as well as the overall notion of skewed data distributions.
3- Negative skew, is asymmetrical, left tail is longer, and the distribution's mass is concentrated on the right, pval=0.039.
4- Parametric is appropriate branch of statistics used to analyze these data, if the scores were normally distributed. Parametric tests are based on the assumption that the variable is continuous and follows a distribution that is roughly normal.
5- Non-parametric is appropriate branch of statistics used to analyze these data, if distribution of quiz scores is skewed, due to the data have asymmetric distribution, with negative measurement.
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Solange Ramos 2h
1.Based on the level of measurement of the quiz scores, the appropriate branch of statistics to analyze the scores is the non-parametric, because the distribution of data is asymmetric and the histogram is skewed.
2.The distribution of the quiz score is skewed because the distribution is asymmetrical and the mean and median has different values.
3.The direction of the skew is negative this means a longer tail to the left, mean <median <mode
4.If quiz scores are normally distributed the appropriate branch of statistics used to analyze these data be parametric, this means that the data for the variables are normally distributed around the mean, the level of variance for a particular variable is constant throughout the sample, no outliers in the data set, Furthermore, the observations are independent and each study subject has an equal opportunity to enter the study.
5.If distribution of quiz scores is skewed, the appropriate branch of statistics used to analyze these data be non-parametric, may be due to outliers (either large or small),non-parametric statistics,do not require Assumptions about the Data to be met.
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Anonymous 2h
Lien Afon
Interpretation from histogram
Answer
1) The suitable branch can be determined by the level of measurement (NOIR Scale) of the quiz scores. In in this case is non-parametric statistics, in which the data are not assumed to come from prescribed models that are determined by a small number of parameters; examples of such models include the normal distribution model and the linear regression model.
2) The distribution is skewed if one tail is longer than the other. Because they lack symmetry, these distributions are sometimes referred to as asymmetric or asymmetrical.
3) A lengthy left tail characterizes a left-skewed distribution. Negatively skewed distributions are sometimes known as left-skewed distributions with pvl=0.039. The reason for this is that the number line has a lengthy tail in the negative direction. In addition, the mean is to the left of the peak.
4) If the quiz results were normally distributed, the appropriate statistical branch to evaluate the data would be parametric, in this case sample data comes from a population that can be properly represented by a fixed-parameter probability distribution.
5) If the quiz scores were skewed, the appropriate branch of statistic used to analyze data be non-parametric this branch is not entirely based on parametrized probability distribution, nonparametric is predicated on being either distribution-free or having a given distribution with unspecified parameters. Both descriptive and nonparametric statistics are included in nonparametric statistics. Most non-parametric methods are based on ranking the values of a variable in ascending order and then calculating a test statistic based on the sums of these ranks
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Anonymous 1h
By Maryuri Casalis Histogram Assignment 1) Base on the level of measurement (NOIR Scale) a Nonparametric analysis method using rank, which is the most used method technique used today. A nonparametric analysis was established as a commonly used analytical method in medical and natural science research. Nonparametric statistic is based on either being distribution-free or having a specified distribution with the parameters unspecified. 2) The distribution of the quiz 1 scores is Skewed, it can be shown with a list of numbers as the distribution of a real-valued random variable. 3) The direction of the Skew is negative, it indicates that the tail is on the left side of the distribution. 4) The quiz scores are normally distributed the appropriate branch of statistic used to analyze these data is the Parametric test that relies on statistical distributions in data. 5) If the distribution of quiz scores is skewed, the appropriate branch of statistics used to analyze these data is non-parametric because they require a numerical score for each individual. They require assumptions about the population distribution(s). They evaluate hypotheses about population means or variances.
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Diorgis Torres 1m
Histogram Interpretation
1- I think that based on the (NOIR Scale) for me the appropriated branch of statistic of analyze the score will be not parametric, and it is sampling is asymmetric.
2- I see that distribution of the quiz score is skewed but there is not symmetric distribution on the histogram.
3- I observe that direction of the skewed id relative negative because the histogram shows a long tails in the negative direction.
4- the branch of statistics used to analyze this data the most appropriated is parametric, if the scores were normally distributed, parametric test are based on the assumption that the variable is continuous and follows and distribution that is roughly normal.
5- I think that if the distribution of quiz scores is skewed ,branch statistics used to analyze this data is not parametric because they require assumptions about these distribution.
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Anonymous 5m
Dilcia Breton
1-Based on the level of measurent t
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