The answer depends on whether the measurements are univariate, bivariate or multivariate.
It depends on whether the measurements given are inches, feet, miles, or metres, kilometres or some other measure of distance.
It depends on the measuring instrument that you use (including its calibration), how careful you are, how many measurements you take, whether or not you have allowed for external factors that could affect your measurement.
In statistics you have an experiment which will consist of one or more measurements. These measurements are converted to some statistic: it could be the sample mean, variance, maximum or something else. If you repeated the experiment, the value of this statistic would also change.If your hypothesis is true - whether in terms of the distribution or its parameters - and you repeated the experiment many times, you should expect the statistic to fall within the confidence interval (CI) in 95% of your trials. Even if the hypothesis is true, you should expect random variations to cause your statistic to lie outside the CI in 5% of cases.If you have a result that falls outside the 95% CI, it could be because you were unlucky and hit upon one of the 5% of rogue cases or that your hypothesis was incorrect. In this case you play the odds and conclude that your [null] hypothesis was incorrect.In statistics you have an experiment which will consist of one or more measurements. These measurements are converted to some statistic: it could be the sample mean, variance, maximum or something else. If you repeated the experiment, the value of this statistic would also change.If your hypothesis is true - whether in terms of the distribution or its parameters - and you repeated the experiment many times, you should expect the statistic to fall within the confidence interval (CI) in 95% of your trials. Even if the hypothesis is true, you should expect random variations to cause your statistic to lie outside the CI in 5% of cases.If you have a result that falls outside the 95% CI, it could be because you were unlucky and hit upon one of the 5% of rogue cases or that your hypothesis was incorrect. In this case you play the odds and conclude that your [null] hypothesis was incorrect.In statistics you have an experiment which will consist of one or more measurements. These measurements are converted to some statistic: it could be the sample mean, variance, maximum or something else. If you repeated the experiment, the value of this statistic would also change.If your hypothesis is true - whether in terms of the distribution or its parameters - and you repeated the experiment many times, you should expect the statistic to fall within the confidence interval (CI) in 95% of your trials. Even if the hypothesis is true, you should expect random variations to cause your statistic to lie outside the CI in 5% of cases.If you have a result that falls outside the 95% CI, it could be because you were unlucky and hit upon one of the 5% of rogue cases or that your hypothesis was incorrect. In this case you play the odds and conclude that your [null] hypothesis was incorrect.In statistics you have an experiment which will consist of one or more measurements. These measurements are converted to some statistic: it could be the sample mean, variance, maximum or something else. If you repeated the experiment, the value of this statistic would also change.If your hypothesis is true - whether in terms of the distribution or its parameters - and you repeated the experiment many times, you should expect the statistic to fall within the confidence interval (CI) in 95% of your trials. Even if the hypothesis is true, you should expect random variations to cause your statistic to lie outside the CI in 5% of cases.If you have a result that falls outside the 95% CI, it could be because you were unlucky and hit upon one of the 5% of rogue cases or that your hypothesis was incorrect. In this case you play the odds and conclude that your [null] hypothesis was incorrect.
The answer will depend on the units that are used for the measurements: 12x32x22. There is nothing in the question to indicate whether they are inches or feet, yards or miles, or a mix of units, or even SI units.
Temperature and humidity are the measurements commonly used to assess the pleasantness of weather. These affect most how hot or cold it "feels" outside.
It does not matter. Conventionally, the length is the biggest side because it is the longest and so has the longest measure. But there are exceptions to that as well. That is why many manufacturers tell you (LxW or LxWxH) as well as giving the actual measures.
The most useful measurements to determine a nice day outside include temperature, humidity, wind speed, and chance of precipitation. These factors can give a good indication of how comfortable and pleasant the weather will be for outdoor activities.
The answer depends on whether the measurements are univariate, bivariate or multivariate.
whether the measurements are the same or different
A "spread" is something you can spread on bread, whether it be jams, flavoured pastes, or peanut paste (Becoming more commonly known as peanut butter). A bedspread is a quilt for one's bed.
A "spread" is something you can spread on bread, whether it be jams, flavoured pastes, or peanut paste (Becoming more commonly known as peanut butter). A bedspread is a quilt for one's bed.
Depends on the engine and whether it has a towing package
Precision refers to the level of consistency and reproducibility in measurements or results. It indicates how closely repeated measurements or observations fall to each other. A high precision means that measurements are close to each other, regardless of whether they are accurate or not.
You continue to make it repeatedly, with measurements of several kinds if possible, and you enlist the help of several others to make the same observation repeatedly and with measurements.
The answer to your question of "What company can provide a good Puerto Rico package?" would be what kind of Puerto Rico package are you talking about food, whether it's food or cruise lines?
I am wondering the same thing, but in my experience if the package is sold by amazon it comes in an brown box. You can mark it as a "gift" but don't need to gift wrap it. When I do this, the contents of the box are not written on the outside. I am unsure what happens if you do not mark it as a gift. If it is sold by someone other than amazon, it is up to that store whether the package is discrete or not.