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Many statistics are based on the assumption that various underlying data or functions of data are normally distributed. For example, the t and F tests are based on this type of assumption; but there are many others.

In practice, many data that may be observed follow approximate normal distributions because they are, in effect, sums of random variables and the central limit theorem comes into play. In other practical situations, functions of the data are known to follow the normal distribution in most cases. For example, in many cases taking the logarithm or the arcsin of data values will yield (approximately) normally distributed values.

Beyond this, it is well known that many statistical procedures perform well even when the underlying distribution is not normal. They are said to be 'robust' and can be safely applied provided that certain conditions are met.

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Q: When using statistical analysis normality is based on what?
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Differences between descriptive and inferential statistics?

All statistical tests are part of Inferential analysis; there are no tests conducted in Descriptive analysis · Descriptive analysis- describes the sample's characteristics using… o Metric- ex. sample mean, standard deviation or variance o Non-metric variables- ex. median, mode, frequencies & elaborate on zero-order relationships o Use Excel to help determine these sample characteristics · Inferential Analysis- draws conclusions about population o Types of errors o Issues related to null and alternate hypotheses o Steps in the Hypothesis Testing Procedure o Specific statistical tests


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How do you figure out the height and distance a confetti cannon will shoot?

By statistical analysis. It is very difficult to calculate these using mechanics. Calculations of the trajectory of a projectile assume that the mass of the projectile is such that air resistance has a negligible effect. This is not the case when the projectile is confetti - even if it is packed densely to start with.


Formula to calculate normality?

The calculation for normality isn't too hard, but you have to have some info before you can find it. You need 1 the number of equivalents. # mol * (subscript on first element of first compound/ number of that element are in the balanced equation) = # equivalents I am probably confusing you on finding equivalents, but there is not much else I can do. sorry Using 0.2489 g. of H2C2O4*2H20 is .00197mol so... .00197 * (2/1) = 3.94*10^-3 equvialents 2 The volume in liters # mL/1000 = #L say 43 ml / 1000 +.043 L so normality would be (3.94*10^-3)/ .043 = 9.16*10^-2 as normality.


What skill are you using if you identify a trend or pattern seen in a graph?

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How will you calculate normality using specific gravity?

To calculate normality using specific gravity, you would first determine the concentration of a solution in g/mL. Then, divide the concentration by the equivalent weight of the solute to get the number of equivalents per liter. This value represents normality.


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What is the normality of an acid solution if 50 ml of the solution requires 48.6 ml of 0.1879 N alkali for neutralization?

The normality of the acid solution can be calculated using the formula: Normality of acid x Volume of acid = Normality of alkali x Volume of alkali. Plugging in the values, we get: Normality of acid x 50 ml = 0.1879 N x 48.6 ml. Solving for the normality of the acid gives approximately 0.186 N.


A 25.0 ml sample of hcl was titrated to the endpoint with 15.0 ml of 2.0 normality naoh what was the normality of th hcl what was its molarity?

The normality of HCl can be calculated using the equation: Normality (HCl) * Volume (HCl) = Normality (NaOH) * Volume (NaOH). Solving for the normality of HCl gives 6.0N. The molarity of the HCl solution can be calculated using the formula: Molarity = Normality / n-factor. Assuming the n-factor for HCl is 1, the molarity of the HCl solution would be 6.0 M.