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A histogram retains information about the number of samples by displaying the frequency distribution of data points within specified intervals or bins. Each bar's height represents the number of samples that fall within that range, allowing for a clear visual comparison of sample sizes across different ranges. This makes histograms particularly useful for understanding the distribution and density of data in a dataset.

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4mo ago

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How many different simple random samples of size 4 can be obtained from a population whose size is 42?

Number of samples = 42C4 = 42*41*40*39/24 = 111930


Is the distribution of sample means always a normal distribution If not why?

It need not be if: the number of samples is small; the elements within each sample, and the samples themselves are not selected independently.


What is sampling and holding time?

sampling time is the number of samples per second taken from a continuous signal to make it discrete and holding time is the time between two samples..


Is that a statistical question how many days are in MARCH?

No, the question "How many days are in March?" is not a statistical question. It has a definitive answer: March always has 31 days. Statistical questions typically involve variability and require data collection or analysis to answer, such as asking about the average number of days in a month across different years or contexts.


Explain the importance of ANOVA in the field of Pharmaceutical Science.?

Analysis of variance (ANOVA) is defined as the " Separation of variance ascribable one group of cause from the variance ascribable to another group".The variations may be calculated and their effects estimated by a statistical method known as the ANOVA.USES:# ANOVA is the most powerful statistical tools. # ANOVA is general method of analyzing data from designed experiments. # ANOVA is a powerful process that is useful to analyze the variance between any number of sample. # ANOVA is useful to find significance level between any number of samples and we can analyze whether difference is statistically significant (or) not# This is specially useful to give conclusions for the data obtained in researches. # It keeps the alpha error in a limit. # It is most powerful than t-test as it has no limit in samples that we analyze, T-test is useful to analyze up to only 30 samples. # In the bio equivalence studies the similarities between the samples will be analyzed with ANOVA only. # Pharmacokinetic data also will be evaluated using ANOVA. # Pharmacodynamics (what drugs does to the body) data also will be analyzed with ANOVA only. That means we can analyze our drug is showing significantpharmacological action (or) not.

Related Questions

Is .016 statistically significant in spss?

A number, by itself, cannot be statistically significant. It is necessary to know what the underlying statistical distribution for that number is. That information can be obtained from knowledge of the statistical test being carried out.


How many kids argue with their parents a day?

There is no statistical information for that, though, you can help bring whatever that number is down.


What is statistical landmark?

Number line


What is an INE number?

An INE number is a unique identification number assigned to individuals in Spain for statistical purposes and administrative procedures. It is used by public authorities to track demographic information and monitor population trends.


What is the formula to getting a average?

Sum of all samples divided by the number of samples.


What is the relationship between levels of confidence and statistical significance?

The connotation 'statistical significance' takes into account the number of samples as well level of confidence in making a conclusion based on these samples. The level of confidence is typically denoted as 1-alpha (1 minus alpha), where alpha is basically the chance that the reported conclusion will incorrect. The most popular level of confidence is 95%, which coincides with a 5% alpha, meaning that when one makes a conclusion based on a particular sample, there is a 5% chance of a false or incorrect conclusion.


Which album includes the highest number of samples?

The Avalanches' album, Since I left You, was made entirely from Samples. Approximately 3,500 samples were used from original vinyls.


What is the characteristic of a normal distribution?

The Normal (or Gaussian) distribution is a symmetrical probability function whose shape is determined by two values: the mean and variance (or standard deviation).According to the law of large numbers, if you take repeated independent samples from any distribution, the means of those samples are distributed approximately normally. The greater the size of each sample, or the greater the number of samples, the more closely the results will match the normal distribution. This characteristic makes the Normal distribution central to statistical theory.


What is the advantage of doing experiment on a large number of samples?

Conducting experiments on a large number of samples increases the reliability and generalizability of the results. It helps to minimize the impact of outliers and random variations, providing a clearer picture of trends and patterns. Additionally, larger sample sizes enhance statistical power, making it more likely to detect significant effects and draw valid conclusions. Overall, this approach strengthens the validity of the findings and supports more robust scientific claims.


What is the definition of number of samples in statistics?

The number of samples, or sample size, is the number of measurements performed for a particular statistic. For instance, if you were trying to calculate the average price for a bottle of Ardbeg 10 year old Scotch whisky, the number of samples would be the total number of prices you found for Ardbeg at various liquor stores. To continue on with this example, to get the average price, you would then add up all of the prices you measured and then divide that by the number of samples, as described above. It should be obvious that the more stores you visit to measure the price, in this case meaning the higher number of samples you obtain, the more accurate your value for the average price will be.


What is a random number?

* A number generated for or part of a set exhibiting statistical randomness. * A random sequence obtained from a stochastic process. * An algorithmically random sequence in algorithmic information theory. * The output of a random number generator. * The least random number (17), according to the Hacker's Jargon File.


How to check cover number?

To check the cover number, you typically assess the coverage of a specific area or dataset by evaluating how many samples or observations are included within that region. This can be done through statistical analysis or software tools that analyze spatial data. If referring to insurance, you can check the cover number by reviewing your policy documents or contacting your insurance provider directly for details on coverage limits and conditions.