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MARI-103 and the variable in both cases is the same as the first one in the distribution channel of the corresponding company. There's a lot of statistics in this one, so it's a bit complicated. Because the variables are the same, yet the effect size is different, you have to use a two-way ANOVA where all the factors are with the original ones. You have two variables, some items and the dependent variable. There's also a number of groups inside the statistics. Because all the tables are infinite, it's a bit difficult to get the confidence intervals for each group to answer this question properly. But since they're the same things, the difference here was whatever the original stimulus used. This means the effect sizes are the same as the sizes that the original thing was. You can get the standard deviations by using a t distribution and giving them a normal distribution. So let's find some upside values of the things that the original paper used. First, let's find the standard deviation for each group. Mean is the average of the group. Standard deviation is the level of variation in the data. A t distribution is a probability distribution where you have to use a normal distribution to get the value of anything. To get the standard deviations, let's find the average and standard deviations of every group. This was the first time I ever used the t distribution and it really works, so it's a bit exciting to find all these standard deviations. First, let's get the average for each group. This is exactly the same thing as the mean, so it's the first thing we should measure. Mean is the average of the group. Average will be measured by giving the average number to the group. Mean is the average of the group. Fucking statistics are the most boring topic ever, so let's wrap this one up. Let's start off with the standard deviations of each group. All of the data here are from the original paper, so they're the same that the original ones were. Standard deviation is the level of variation in the data. Another thing that goes on is confidence intervals. There's a lot of statistics in this one, so it's a bit complicated. Distribution is just a frequency distribution. Because the variables are the same, yet the effect size is different, you have to use a two-way ANOVA where all the factors are with the original ones. But since they're the same things, the difference here was whatever the stimulus used. This means the effect sizes are the same as the sizes that the stimulus used. You can get the standard deviations by using a t distribution and giving them a normal distribution. The first one was this standard to find the standard deviations. ``` There's a lot of statistics in this one, so it's a bit complicated. Because the variables are the same, yet the effect size is different, you have to use a two-way ANOVA where all the factors are with the original ones. theta = standard deviation ``` AND I don't have a standard here, so I have to find that first. ``` Since I didn't find a standard distribution, I did constant observation on every group for the first two weeks. ``` These are four different types of categories that all have opposite effects here, so this is the most difficult one to get right, I think. ``` I don't know what's wrong with the data, but I think there's a problem here. One one of the standard deviations are quite high for one group, so I have to look into this again. ``` All one of the things was supposed to go up and then down, but that didn't happen here. So I have to get all the data and check them again. ``` AND I need to use the t distribution to get the standard deviations of all the groups to do that. ``` A t distribution is a probability distribution where you have to use a normal distribution to get the value of anything. ``` Because all the tables are infinite, it's a bit difficult to get the confidence intervals for each group to answer this question properly. ``` There's a lot of statistics in this one, so it's a bit complicated. Because the variables are the same, yet the effect size is different, you have to use a two-way ANOVA where all the factors are with the original ones. ``` But since they're the same things, the difference here was whatever the stimulus used. This means the effect sizes are the same as the sizes that the stimulus used. ``` You can get the standard deviations by using a t distribution and giving them a normal distribution. ``` So let's find some upside values of the things that the original paper used. First, let's find the standard deviation for each group. ``` ``` ``` You have four different groups here, one is the healthy group and the other three are the ones who are affected by the stimulus. Because all the groups are connected, all the standard deviations here are the same. ``` ``` ``` All of the data here are from the original paper, so they're the same that the original ones were. ``` ``` ``` ``` There's a lot of statistics in this one, so it's a bit complicated. Since they all have the same variables, yet the effect size is different, you have to use a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` Because all of the variables are the same, yet the effect size is different, you have to use a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` All of the variables are the same, yet the effect size is different, so you have to use a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` Since all of the variables are the same, yet the effect size is different, you have to use a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` So then the variation that they're the same with is the different distribution from the original, so all the normal distributions are the same with the first ones. So then you have to use the standard deviation here to get all the standard deviations of each group. ``` ``` ``` ``` Every one of the variables is the same, yet the effect size is different, so you have to use a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` Because all of the variables are the same, yet the effect size is different, you have to use a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` All of the variables are the same, yet the effect size is different, so you have to use a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` Since all of the variables are the same, yet the effect size is different, you have to use a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` You can get the standard deviations by using a t distribution and giving them a normal distribution. Then you can get the difference between these two here by using a two-way ANOVA here all of the factors are with the first ones. ``` ``` ``` ``` All of the variables are the same, yet the effect size is different, so you have to use a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` Because all of the variables are the same, yet the effect size is different, you have to use a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` All of the variables are the same, yet the effect size is different, so you have to use a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` Since all of the variables are the, but have a different effect size, yet the contrast is the same, you have to use a two-way ANOVA where all the factors are with the first variation. ``` ``` ``` ``` Then you can find the difference between the standard deviations here by using a two-way ANOVA with all the factors being the same with the first ones. ``` 房的 independently ``` ``` ``` All of the variables are the same, yet the effect size is different, so you have to use a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` When all of the variables are the same, yet the effect size is different, you have to use a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` All of the variables are the same, yet the effect size is different, so you have to use a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` ``` you have to use a two-way ANOVA where all the factors are with the first ones. ``` good我觉得 you have to use a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` ``` using a two-way ANOVA where all the factors are with the first ones. ``` ``` ``` ``` ``` oh this is a two-way ANOVA where all the factors are with the first ones. ``` The court with an applicant

2021年4月13日479 分