When deciding which statistical technique to use, first I will decide whether it is a confidence interval or a hypothesis test. Confidence intervals describe a single sample or the magnitude of an effect and hypothesis tests are used when comparing a pre-specified hypothesis and significance level. Then I must decipher whether the inference is about proportions or means based on the context that is given. I will look at the number of variables, whether they are independent or not, etc. in order to decide what statistical technique to use.
When deciding which technique I am going to use, I need to decide wether I will be using the Confidence Interval or a Hypothesis Test. The CI is for a single sample while the hypothesis test are used when we are comparing a known hypothesis. Then you must see if the inference is about means or proportions and look at wether the variables are independent or dependent. After I figure all this out I can then decide wether I am going to us a CI or a Hypothesis Test.
To determine whether I am going to do a hypothesis test or a confidence interval, it's important to consider the following. For a hypothesis test, the evidence provided by our data is assessed so that we can make some claim about a population whether or not the value of an unknown population parameter is as stated. This is used to test some specific claim or hypothesis. For a confidence interval, there is will be a certain unknown population parameter (usually the mean) so you are going to estimate the population parameter with a certain degree of confidence. Then, if you have a large enough sample that the central limit theory holds, then you can go on and calculate a confidence interval.
In order to determine whether a confidence interval or hypothesis test needs to be used. A confidence interval is used when there is a single sample, while a hypothesis test is used when there is a specific hypothesis or predetermined proportions/values. Once you determined whether you'll use a CI or hypothesis test, you need to determine whether means of inferences are used.
Hi Ms. Lebzelter. I tried that statistical procedure practice finally. Better late than never. I started realizing that you can figure out whether they want a confidence interval or a hypothesis test within the first few words of the problem the way these are worded. If they are asking if there is a relationship between samples or variables, then it is a hypothesis or Chi square test. If they are asking for a confidence interval or "by how much" does this do that, then you should probably run a confidence interval. The tricky part is narrowing the procedure down from there. In addition, look for if it is a proportion or a mean, and if it is one sample or two. Are there multiple categories in which a Chi square test would be appropriate? Things like that.
When deciding which statistical test to use, there are multiple things you need to look at. First, you need to look at the number of samples being tested and whether the samples represent a proportion or a mean. Next, if there is more than one sample, you need to decide if the samples being tested are independent or not. If they are not independent, there is a chance that they are a matched pair, which could influence what type of test will be used.
With one sample problems, you will most likely be using a confidence interval. Hypothesis tests are used when there is more than one sample with predetermined values.
To decide which statistical test to use, the first thing you should examine is the number of samples being tested. You should also look at whether the samples represent a proportion of mean, and whether the samples are independent. Generally, for one sample problems you should use a confidence interval, and for more than one sample data you should use a hypothesis test.
When approaching the problem of deciding which statistical test to use, one has to decide the number of samples being tested. Also, you need to decide if the samples represent a portion of the mean and if the samples are independent from each other. It is also good to recognize that you are assuming it is a Simple Random Sample.
Once you pick the amount of samples, you need to construct a confidence interval for one sample tests, and a hypothesis test (sometimes Chi Squared Test) if you are looking at two sample data.
Unfortunately I was having problems with both of my computers but I feel pretty confident with inference practice. I feel like I would have liked this practice.
When deciding which statistical technique to use, first I will decide whether it is a confidence interval or a hypothesis test. Confidence intervals describe a single sample or the magnitude of an effect and hypothesis tests are used when comparing a pre-specified hypothesis and significance level. Then I must decipher whether the inference is about proportions or means based on the context that is given. I will look at the number of variables, whether they are independent or not, etc. in order to decide what statistical technique to use.
ReplyDeleteWhen deciding which technique I am going to use, I need to decide wether I will be using the Confidence Interval or a Hypothesis Test. The CI is for a single sample while the hypothesis test are used when we are comparing a known hypothesis. Then you must see if the inference is about means or proportions and look at wether the variables are independent or dependent. After I figure all this out I can then decide wether I am going to us a CI or a Hypothesis Test.
ReplyDeleteTo determine whether I am going to do a hypothesis test or a confidence interval, it's important to consider the following. For a hypothesis test, the evidence provided by our data is assessed so that we can make some claim about a population whether or not the value of an unknown population parameter is as stated. This is used to test some specific claim or hypothesis. For a confidence interval, there is will be a certain unknown population parameter (usually the mean) so you are going to estimate the population parameter with a certain degree of confidence. Then, if you have a large enough sample that the central limit theory holds, then you can go on and calculate a confidence interval.
ReplyDeleteIn order to determine whether a confidence interval or hypothesis test needs to be used. A confidence interval is used when there is a single sample, while a hypothesis test is used when there is a specific hypothesis or predetermined proportions/values. Once you determined whether you'll use a CI or hypothesis test, you need to determine whether means of inferences are used.
ReplyDeleteHi Ms. Lebzelter. I tried that statistical procedure practice finally. Better late than never. I started realizing that you can figure out whether they want a confidence interval or a hypothesis test within the first few words of the problem the way these are worded. If they are asking if there is a relationship between samples or variables, then it is a hypothesis or Chi square test. If they are asking for a confidence interval or "by how much" does this do that, then you should probably run a confidence interval. The tricky part is narrowing the procedure down from there. In addition, look for if it is a proportion or a mean, and if it is one sample or two. Are there multiple categories in which a Chi square test would be appropriate? Things like that.
ReplyDeleteWhen deciding which statistical test to use, there are multiple things you need to look at. First, you need to look at the number of samples being tested and whether the samples represent a proportion or a mean. Next, if there is more than one sample, you need to decide if the samples being tested are independent or not. If they are not independent, there is a chance that they are a matched pair, which could influence what type of test will be used.
ReplyDeleteWith one sample problems, you will most likely be using a confidence interval. Hypothesis tests are used when there is more than one sample with predetermined values.
To decide which statistical test to use, the first thing you should examine is the number of samples being tested. You should also look at whether the samples represent a proportion of mean, and whether the samples are independent.
ReplyDeleteGenerally, for one sample problems you should use a confidence interval, and for more than one sample data you should use a hypothesis test.
When approaching the problem of deciding which statistical test to use, one has to decide the number of samples being tested. Also, you need to decide if the samples represent a portion of the mean and if the samples are independent from each other. It is also good to recognize that you are assuming it is a Simple Random Sample.
ReplyDeleteOnce you pick the amount of samples, you need to construct a confidence interval for one sample tests, and a hypothesis test (sometimes Chi Squared Test) if you are looking at two sample data.
Unfortunately I was having problems with both of my computers but I feel pretty confident with inference practice. I feel like I would have liked this practice.
ReplyDelete