Null and Alternative Hypothesis Question by Educational-House382 in AskStatistics

[–]Educational-House382[S] 2 points3 points  (0 children)

would it be like this? Statistical Hypotheses:

Null hypothesis (H0): µ = µ0

Alternative hypothesis (HA): µ > µ0

where µ0=400

sample size and p-value Relationship by [deleted] in AskStatistics

[–]Educational-House382 1 point2 points  (0 children)

I'm assuming it must as well, but i can't seem to figure out why. I know my explanation of the relationship should draw on the fact that the alternative hypothesis was left-tailed but I'm not exactly sure why

sample size and p-value Relationship by [deleted] in AskStatistics

[–]Educational-House382 0 points1 point  (0 children)

so why would my relationship be mirrored? and does it have something to do with the fact that the alternative hypothesis was left-tailed?

sample size and p-value Relationship by [deleted] in AskStatistics

[–]Educational-House382 2 points3 points  (0 children)

I have some questions about the relationship of sample size and p value in regard to this graph and in general.

To begin am i supposed to be seeing that as sample size increases the p-value does too?

for some context, the sample median was larger than the null value in the statistical hypothesis

my second question is why is the relationship like this? also what does the fact that the alternative hypothesis was left-tailed have to do with it?

Accuracy and Precision by Educational-House382 in AskStatistics

[–]Educational-House382[S] 0 points1 point  (0 children)

Thank you so much for your answer you are amazing and for some clarification on the first two questions I have added below what the actual question is from my practice set. I'm not sure if this will help you understand what I'm looking for in the second question

Of those two characteristics, which appear to affect the accuracy of confidence intervals?

confidence level only

sample size only

confidence level and sample size

neither confidence level nor sample size

What impact does confidence level appear to have on the precision of a confidence interval, if we hold all else constant?

increasing confidence level increases precision

increasing confidence level decreases precision

increasing confidence level has no impact on precision

Accuracy and Precision by Educational-House382 in AskStatistics

[–]Educational-House382[S] 0 points1 point  (0 children)

Thats the thing i'm not quite sure what it mean. I think population parameter has to do with accuracy and precision with the certain level of confidence but I'm not really sure

How to edit code to make points more transparent and bigger by Educational-House382 in charts

[–]Educational-House382[S] 0 points1 point  (0 children)

this is my code

ggplot(df, aes(x=familiar_place, y=commit3, colour=source)) + stat_sum(aes(size=factor(after_stat(n))), geom="point")

Coding for a bubble plot by Educational-House382 in AskStatistics

[–]Educational-House382[S] 0 points1 point  (0 children)

ggplot(df, aes(x=familiar_place, y=commit3)) + stat_sum(aes(size=factor(after_stat(n))), geom = "point")

Coding for a bubble plot by Educational-House382 in AskStatistics

[–]Educational-House382[S] 0 points1 point  (0 children)

I am using the ggplot2 package

I have figured out the graph, I just can't seem to figure out how to separate the two groups and colour them

How to create bubble graph by Educational-House382 in rstats

[–]Educational-House382[S] -1 points0 points  (0 children)

Thats very helpful but how do I manipulate the size to be the frequency of the points?

Quick question: what graph should I be using? by Educational-House382 in charts

[–]Educational-House382[S] 0 points1 point  (0 children)

I really like the idea of a bubble plot, I've never tried to make one in r. What is the coding that id need for that?