Search
- Filter Results
- Location
- Classification
- Include attachments
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Answering_Questions_with_Data_-__Introductory_Statistics_for_Psychology_Students_(Crump)/04%3A_Probability_Sampling_and_Estimation/4.15%3A_SummaryThe first half of the chapter talks about sampling theory, and the second half talks about how we can use sampling theory to construct estimates of the population parameters. As always, there’s a lot ...The first half of the chapter talks about sampling theory, and the second half talks about how we can use sampling theory to construct estimates of the population parameters. As always, there’s a lot of topics related to sampling and estimation that aren’t covered in this chapter, but for an introductory psychology class this is fairly comprehensive I think. There is a lot of statistical theory you can draw on to handle this situation, but it’s well beyond the scope of this book.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Answering_Questions_with_Data_-__Introductory_Statistics_for_Psychology_Students_(Crump)/09%3A_Factorial_ANOVA
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Answering_Questions_with_Data_-__Introductory_Statistics_for_Psychology_Students_(Crump)/01%3A_Why_Statistics/1.11%3A_Experimental_and_non-experimental_researchOne of the big distinctions that you should be aware of is the distinction between “experimental research” and “non-experimental research”. When we make this distinction, what we’re really talking abo...One of the big distinctions that you should be aware of is the distinction between “experimental research” and “non-experimental research”. When we make this distinction, what we’re really talking about is the degree of control that the researcher exercises over the people and events in the study.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Answering_Questions_with_Data_-__Introductory_Statistics_for_Psychology_Students_(Crump)/09%3A_Factorial_ANOVA/9.02%3A_Purpose_of_Factorial_DesignsOn the other hand, you could be the kind of person who had a big distraction effect (maybe you found 10 differences under no distraction, and only 1 difference when you were distracted); this could me...On the other hand, you could be the kind of person who had a big distraction effect (maybe you found 10 differences under no distraction, and only 1 difference when you were distracted); this could mean you are not very good at ignoring distracting things while you are paying attention.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Answering_Questions_with_Data_-__Introductory_Statistics_for_Psychology_Students_(Crump)/03%3A_Correlation/3.06%3A_Interpreting_CorrelationsIf you are imagining a scatter plot, with each dot being a snake plant, then you should imagine some dots starting in the bottom left hand corner (no water & no plant growth), moving up and to the rig...If you are imagining a scatter plot, with each dot being a snake plant, then you should imagine some dots starting in the bottom left hand corner (no water & no plant growth), moving up and to the right (a bit of water, and a bit of growth). If we look at the first half of the data we see a positive correlation, if we look at the last half of the data we see a negative correlation, and if we look at all of the data we see no correlation.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Answering_Questions_with_Data_-__Introductory_Statistics_for_Psychology_Students_(Crump)/00%3A_Front_Matter/02%3A_InfoPage(unable to fetch text document from uri [status: 500 (InternalError)])
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Answering_Questions_with_Data_-__Introductory_Statistics_for_Psychology_Students_(Crump)/06%3A_t-Tests/6.06%3A_Simulating_data_for_t-tests# steps to create fake data from a distribution # and conduct t-tests on the simulated data save_ps <- length(1000) save_ts <- length(1000) for ( i in 1:1000 ){ my_sample <- rnorm(n=30, mean =50, sd =...# steps to create fake data from a distribution # and conduct t-tests on the simulated data save_ps <- length(1000) save_ts <- length(1000) for ( i in 1:1000 ){ my_sample <- rnorm(n=30, mean =50, sd =25) t_test <- t.test (my_sample, mu = 50) save_ps[i] <- t_test$p.value save_ts[i] <- t_test$statistic } #plot histograms of t and p values for 1000 simulations hist(save_ts)
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Answering_Questions_with_Data_-__Introductory_Statistics_for_Psychology_Students_(Crump)/06%3A_t-Tests/6.04%3A_The_paired_samples_t-test_strikes_backlibrary(data.table) suppressPackageStartupMessages(library(dplyr)) all_data <- fread( "https://stats.libretexts.org/@api/deki/files/10603/MehrSongSpelke2016.csv") experiment_one <- all_data %>% filter...library(data.table) suppressPackageStartupMessages(library(dplyr)) all_data <- fread( "https://stats.libretexts.org/@api/deki/files/10603/MehrSongSpelke2016.csv") experiment_one <- all_data %>% filter(exp1==1) paired_sample_df <- data.frame(infant=1:5, Baseline = round(experiment_one$Baseline_Proportion_Gaze_to_Singer[1:5], digits=2), Test = round(experiment_one$Test_Proportion_Gaze_to_Singer[1:5], digits=2)) paired_sample_df <- cbind(paired_sample_df, differences = (paired_sample_df$Test- pair…
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Answering_Questions_with_Data_-__Introductory_Statistics_for_Psychology_Students_(Crump)/05%3A_Foundations_for_inference/5.01%3A_Brief_review_of_ExperimentsWe already found out that just finding a bunch of people and measuring number of hours watching cats, and level of happiness, and correlating the two will not permit inferences about causation. Well, ...We already found out that just finding a bunch of people and measuring number of hours watching cats, and level of happiness, and correlating the two will not permit inferences about causation. Well, if watching cat videos cause change in happiness, then we would expect the measures of happiness for people watching 1 hour of cat videos to be different from the measures of happiness for people watching 2 hours of cat videos.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Answering_Questions_with_Data_-__Introductory_Statistics_for_Psychology_Students_(Crump)/01%3A_Why_Statistics/1.04%3A_Statistics_in_Everyday_LifeThe most common error, if you’re curious, was failing to report baseline data (e.g., the article mentions that 5% of people in situation X have some characteristic Y, but doesn’t say how common the ch...The most common error, if you’re curious, was failing to report baseline data (e.g., the article mentions that 5% of people in situation X have some characteristic Y, but doesn’t say how common the characteristic is for everyone else!) The point I’m trying to make here isn’t that journalists are bad at statistics (though they almost always are), it’s that a basic knowledge of statistics is very helpful for trying to figure out when someone else is either making a mistake or even lying to you.
- https://stats.libretexts.org/Courses/Taft_College/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Sciences_(Oja)/01%3A_Description/03%3A_Descriptive_Statistics/3.03%3A_What_is_Central_Tendency/3.3.03%3A_Measures_of_Central_Tendency-_MedianMedians are in the middle of the road.
