I have trouble finding an answer to my question even though I believe it should not be too hard to answer.

I want to calculate a Spearman coefficient between a fixed variable X (e.g weight) and a variable collected 5 times Y (e.g. jump height). Let's say I have 3 participants. How should I do this in SPSS or Excel?

Subject Var1 Var2

1 1 2

1 4

2 2 4

2 6

3 3 6

3...

Help with correlations]]>

I have 5 year average information for # of reported Campylobacter cases (a bacterial gastrointestinal illness) for a particular region.

# from April to June, 2014-2019

2014 = 2 cases

2015 = 5 cases

2016 = 0 cases

2017= 6 cases

2018 = 11 cases

Which makes the 5 year average for April - June from 2014-2018 = 4.8

2019 =10 cases

I want to know if the 10 cases from 2019 is a statistically significant increase based on the data collected from the previous 5 years. I...

5 year average data- statistically significant increase?]]>

f(x) = {k(x^2 +x ) 0 ≤ x ≤ 2

{ 0 otherwise

(a) Find the value of k that makes f(x) a valid pdf.

(b) Sketch the pdf.

(c) Find the cumulative distribution function (cdf).

(d) Find the probability that a randomly selected student finishes in less than 1 hour. (Include a sketch and your work.)

(e) Find the probability that a randomly selected student...

PDF]]>

(a) Sketch the probability density function (pdf). Be sure to include the height of the graph.

(b) Find ( > 2.5). Include a sketch of the pdf, shade the appropriate area, and compute theprobability.

(c) Find ( < 0 > 1). Include a sketch of the pdf, shade the appropriate area, and compute theprobability.

(d) Find (0 ≤ < 1.5). Include a sketch of the pdf...

Probability Density Function]]>

I am conducting a service evaluation on a manualised CBT for anxiety group, at a college for individuals with autism and associated difficulties for my final MSc project.

The purpose of the evaluation is to investigate the clinical outcome effectiveness of the CBT group.

I have analysed pre and post intervention anxiety scores (from GAS, standardised questionnaire) using a within subjects t-test.

Other variables measured on a 5 point likert scale in each of the 6 sessions for every...

CBT service eval data analysis]]>

Firstly, I've got 1 independent variable and 7 depended ones and my data is not normally distributed.

My main problem is that I don't know when and why to use a specific statistic test.

For example, I run a Kendall's tau for correlations. Most of my dependent-independent correlations are not significant (NS).

So, my first question is if I should run a linear regression...

I'm at a dead end!!]]>

Please don't use this thread to post homework questions - that's essentially what all of the statistics board is for.

As for me: I just wish I knew exactly what was going on with my summer funding. I've been told that I'm guaranteed summer funding but I don't know if it'll be by doing consulting for the Ag department...

Fleeting/Random Thoughts]]>

A case-control study conducted in Ile-et-Vilaine, France, aims to find predictors for (o)esophageal cancer. The study recorded characteristics on AGE, ALCOHOL and TOBACCO usage of each patient under investigation. The variables have the following coding:

- CANCER – equal to 1 if cancer is present in patient, 0 otherwise;
- AGE2 = age group - coded with three age groups: 25-44 (1), 45-64 (2), 65+ (3);
- ALCOHOL1 = alcohol consumption ,measured...

Logistic Regression help]]>

I need help with this. Calculate the weekly return for BIT and construct a histogram. Does the data on return rates appear

normally distributed?

The data I have used is from a sample with a sample size of 335. So, even though it looks right-skewed, can CLT be applied?

]]>

Usually, people only want to know about the equal variances assumption.

A

I assume you can use the Tukey HSD/ Tukey Kramer also to know which variances are not equal?]]>

I face a problem in which I have two groups: a treated one and a control group.

The treatment group is composed of people who for instance passed ahead of a theater in the last 3 days. The control group is composed of people who did not pass ahead of a theater in the last 3 days. In addition, we must imagine that theaters did not exist 3 days ago (for instance all the theaters were bakeries until 3 days ago).

I want to know if the theater treatment had a significant impact on...

Statistical difference between two proportions over time]]>

Code:

```
install.packages("EValue")
library(Evalue)
evalues.RD(300,20,10,310)
```

Code:

```
C11 = as.integer(floor(runif(10, 20, 50)))
C10 = as.integer(floor(runif(10, 50, 90)))
C01 = as.integer(floor(runif(10, 1...
```

I have a question concerning the handling of missing values. In a sample of 170 respondents, I have two key variables, which are actually my two dependent variables, one measuring the amount of donation to a charity and the other one the willingness to donate. The missing values for these two variables are equal to 30%.

What can I do?]]>

I have a problem that probaly one of you can help me with. I am using IBM SPSS 24 and got a dataset which I am using for my research internship. Okay so i have a dependent variable called underweight that is dichotomous (Yes/No), however i want to transform this into a continous variable (percentage 0-100). The dataset is from a Survey of Households and each case is a member under 5 years old of the household for this variable. I ultimately want to see wheter the differences in...

Can someone please help me out?]]>

Using average response time as an outcome variable]]>

I am looking for some help finding a suitable test as I am very poor at statistics.

I am looking to compare the before and after effects on a suite of monkey behaviours. These behaviours do not depend on each other, e.g. they include "scratch" and "yawn" and I have their frequency in a 10 minute period, across 60 days.

Is there something I can do to test the differences in frequencies of many different behaviours at once? Or must I compare each behaviour before and after...

test to compare before vs after of many unrelated data points]]>

And does it change anything?]]>

Doing 100 rolls I should expect to see around 17 doubles.

I then added up the values for the critical value and put them in a calculator and got

Does this mean that it's unlikely to get better results than the ones I achieved? or did my test fail and was weighed heavily not by random occurrence?

I'm wondering if I made the...

Need some help on my calculation]]>

Example -

3 pair-wise MANOVAs:

λ 0.023 , F=45.541, p<0.0001

λ 0.023 , F=49.073, p<0.0001

λ 0.014 , F=57.554, p<0.0001

Is it appropriate to say that based on the F values, the third analysis has the largest variation between the groups?

Thanks!]]>

When using log rank test, there is assumption made on the observations of subjects having reached intended event to be hypergeometric.

Is there a way to test this assumption whether it holds true or not and how can this test be done in R or Python given a dataset that has the subjects from two cohorts and status of whether they have reached event or censored. Thank you.]]>

I'm trying to figure out why SPSS and lmer in R are giving me different outputs.

Continuous variables (in both models):

Hippo, Age, BMI, ICV, PTEDUCAT, time, PC4

factorial:

PTGENDER, APOEGrp, BL_Supp_Omega3_1

SPSS:

MIXED Hippo BY PTGENDER APOEGrp BL_Supp_Omega3_1 WITH Age BMI ICV PTEDUCAT PC4 time

/CRITERIA=DFMETHOD(SATTERTHWAITE) CIN(95) MXITER(100) MXSTEP(10) SCORING(1)

SINGULAR(0.000000000001) HCONVERGE(0, ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE)...

SPSS and R discrepancy]]>

I have six data sets with one response variable measured at hourly resolution and four predictor variables; two at hourly resolution, one discrete (single event), and one measured monthly or biweekly. What I am wondering is what is the best way to model the influence of predictor variables of different resolution on a single response variable.

To give you a sense...

Mixed Effects model variables of different temporal resolution]]>

Minitab 17 Discrete X Discrete Y Question]]>

I want to perform trend analysis to know whether the overall prevalence is increasing or decreasing over the 9 years.]]>

I was about to run a single-species single-season occupancy model on habitat variables for my tropical mammal data in R. One of my statistic mentors told me I might need to convert my data on distance to road and distance to rivers by using LN or Log10. It seems that he also was not too sure, as he mentioned that the need to convert data depends on my research question and stayed rather vague on his opinion about my data set. I do not really understand...

Convert data by LN or not?]]>

How to calculate the mean and standard deviation of parameters of a function that exists in both discrete and continuous version]]>

Can someone help me add 95% confidence intervals to the Predicted Y below. I understand calculation of Predicted Y but I'm not sure how to calculate the confidence bands around each value of Predicted Y.

Any help would be greatly appreciated.

Thanks,

Tim]]>

I need to produce a probability for a vehicle and a pedestrian meeting along a 1km road.

Here is what I know:

•1km road

•cars take 3 minutes to travel

•pedestrians take 12 minutes to travel

•30 cars an hour

•20 pedestrians an hour

The cars and pedestrians may also be grouped or evening distributed on the road as well.

This is a simplified version of what I’m trying to achieve, but i need it simple so I can explain this to my non-mathematical boss. It’s so we can make an argument that...

Probability of Vehicles and Pedestrians meeting]]>

Goodman and Kruskal's gamma statistic for likert scale data]]>

I am trying to compare variables mean and std deviation across three samples. Is oneway bonferroni test is the best way to do it? If yes, when reporting P value in descriptive statistics table, which p value should be included? ( there are p values for each row column mean comparison and another one for F test) Thanks]]>

I am writing my thesis for medicine about postoperative complications of a disease (IBD). The dependent variable in this case is whether the patients had a post-operative complication or not (binary) within 30 days of their operation. The sample size for my study is n = 62.

I have collected numerous (32) independent variables (age, sex, different lab values, time of operation, etc), some are continuous and others are categorical variables.

I have so far done an univariate analysis...

Multivariate analysis for Medicine Thesis]]>

I hope I have posted in the right section.

I am a master's student currently working on a zoo project with monkeys. I have some questions regarding which tests are appropriate. I would like to compare the overall activity budgets of each individual in each condition, rather than do a group comparison.

The study is on 9 monkeys. I collected 5 months of data and have two conditions, before enclosure was changed and after. For each condition, I have 12 hours of data for each...

Which tests for activity budget comparison]]>

I am trying to assess change in an independent variable based on a regression model. Basically I am trying to predict sales from the percentage of calls; at Baseline I predicted sales from percentage of calls and obtained a model. My next goal is to create a trend analysis of what the hypothetical sales would be if the percentage of calls was increased to a given value. Here is where it gets difficult.

If percentage of calls range from 0 - 100%, and I want to know what the...

Hypothetical Change in Independent Variable]]>

My question is...

How many shots at a target are required to determine the accuracy?

What attributes, factors or terms should we be talking about when comparing one competitor’s results (precision) to another?

Some times competitors take 3 shots and brag about how...

Target Accuracy and Precision]]>

Because there are only two out of five events happening, why are SAS and R still able to give the median survival time, which is 5.9539 (in moths)?

Here are my codes in R:

pfs_fit <- survfit(Surv(pfs_m, pfs_stat) ~ 1, data = data)

os_fit <- survfit(Surv(os_m, os_stat) ~ 1, data = data)]]>

Baseline measure (from a leg at random)

PHASE 1: Leg 1 - exercises, Leg 2 does nothing

- Measurement again of BOTH legs at 6wk

PHASE 2: Legs 1 AND 2 BOTH do a different...

Is this a 2-way or a 1-way ANOVA?]]>

Is there a way around it?

Or is it fine to use?]]>

I'm coding a program that identifies appearances of a lowercase "x" in a base64 encoded string. Like the following:

DWADCrxV+PhR4zxkQrIMUtarkN11aitHI8DEnzyG19CD...

I know the probability of finding at least one "x" in a sequence of 10 chars.

My doubt is about dealing with multiple sequences of 10 chars. I mean, as I see, they can be overlapping or non-overlapping:

DWADCrxV+P hR4zxkQrIM ...

DWADCrxV+P WADCrxV+Ph ...

To...

Probability Over 2 Sequences Of Trials]]>

I am getting lost in the definitions of univariate, bivariate and multivariate tests.

I have gone through the process of completing several statistical analyses. The independent variable, treatment modality, is categorical with three distinct/unique groups.

I have tested group differences on assessments and clinical measures using: One way ANOVAs, Chi-Square Test for Independence and Kruskall-Wallis H test.

I'm getting very confused... are these all multivariate tests because the...

Was this univariate, bivariate or a multivariate test?!]]>

I have been developing tutorial for this course and need critical reviews from similar faculty.

Can you help?

Moderator: I am not selling. I just need to know if I am on the right track.

If this post is not acceptable, just delete it. Thanks.]]>

Following my viva, I have been asked to do an internal validity analysis using Cronbach's alpha.

Qu1. Can anyone advise should this be done on the whole sample n=30 (mixing controls and...

Cronbach's Alpha for a new test. tested w control (n=15) and clinical group (n=15), should I run it on whole sample (n=30)or separately on each group?]]>

Does this mean I have also performed mediation or do I need to that separately?

I am very new to logistic regression ... and within a learning process.]]>

Sorry, I am new to stats.]]>

This might sound like a ridiculous question but I'm looking at relationships that have not been investigated before.

The experiment is a repeated measures design and looking to recruit participants between 16-25.

I am not sure how many participants in going to need. Can anyone help?]]>

I am about to restart my education at University but I have forgotten most of what I have learned. Here to refresh my knowledge and expand it.]]>

Data for x

Year Response Q1 Q2 Q3 Q4 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13

2017 1 9 9 22 3 4 11 7 16 12 23 6 9

2017 2 63 30 91 15 33 51 43...

Forecasting or Prediction for Categorical Data]]>