# data[].attributes.headline
is a chi square test a test of statistical significance that can be used for if you have multiple groups in your categorical variable and ordinal contionuous data

# data[].attributes.subject
is a chi square test a test of statistical significance that can be used for if you have multiple groups in your categorical variable and ordinal contionuous data

# data[].attributes.headline
for my comparison of means test I wanted to test occupation and income. I changed  income into ordinal data as percentiles and I was wondering if this is okay in trms of the non-parametric  t test. Would I only be able to do gender and income or is it okay to have four differing occupations against the ordinal income

# data[].attributes.subject
for my comparison of means test I wanted to test occupation and income. I changed  income into ordinal data as percentiles and I was wondering if this is okay in trms of the non-parametric  t test. Would I only be able to do gender and income or is it okay to have four differing occupations against the ordinal income

# data[].attributes.headline
should i remove outliers from my box plot or can i keep them in and just mention the outliers in my discussion

# data[].attributes.subject
should i remove outliers from my box plot or can i keep them in and just mention the outliers in my discussion

# data[].attributes.headline
not a question but I have found this module really hard and i just hope i pass 

# data[].attributes.subject
not a question but I have found this module really hard and i just hope i pass 

# data[].attributes.headline
My variable of elite occupations is varied with different types of occupations under the classification of 'elite' but I found that my predictor variable of educational graduate status is the same as everyone in these elite occupations has graduated from a university. Is this acceptable as there is not an enormous amount to comment on? I think I would have more to comment on regarding educational status in relation to my other variable of monthly income. 

# data[].attributes.subject
My variable of elite occupations is varied with different types of occupations under the classification of 'elite' but I found that my predictor variable of educational graduate status is the same as everyone in these elite occupations has graduated from a university. Is this acceptable as there is not an enormous amount to comment on? I think I would have more to comment on regarding educational status in relation to my other variable of monthly income. 

# data[].attributes.headline
just to confirm, are we doing an observational study? 

# data[].attributes.subject
just to confirm, are we doing an observational study? 

# data[].attributes.headline
Is there a limit to how many charts/tables we use in the actual text?, not including appendix

# data[].attributes.subject
Is there a limit to how many charts/tables we use in the actual text?, not including appendix

# data[].attributes.headline
could a limitation be that we conducted this study using the island instead of real people meaning that it doesn't actually reflect real findings of society?? 

# data[].attributes.subject
could a limitation be that we conducted this study using the island instead of real people meaning that it doesn't actually reflect real findings of society?? 

# data[].attributes.headline
I put 999 with all my missing data but when I make charts etc the output doesnt say any data is missing, is this an issue

# data[].attributes.subject
I put 999 with all my missing data but when I make charts etc the output doesnt say any data is missing, is this an issue

# data[].attributes.headline
in your video you provide a graph with 999 as something for if gender is missing. But why would gender be missing? I have the gender for those who consented and those who did not. Would this make a difference or  can I use the data I've produced without filling in a 999

# data[].attributes.subject
in your video you provide a graph with 999 as something for if gender is missing. But why would gender be missing? I have the gender for those who consented and those who did not. Would this make a difference or  can I use the data I've produced without filling in a 999

# data[].attributes.headline
if my predictor variable is nominal and outcome is ordinal can i do chi-square test i am struggling to know if its plausible 

# data[].attributes.subject
if my predictor variable is nominal and outcome is ordinal can i do chi-square test i am struggling to know if its plausible 

# data[].attributes.headline
My target population for my sample is 30-50 year old's and I have collected them by looking at birth records from the Hall. There is a few that are dead, does this mean that I should mark them as 0 (not consented) on excel or do I mark them as something different? 

# data[].attributes.subject
My target population for my sample is 30-50 year old's and I have collected them by looking at birth records from the Hall. There is a few that are dead, does this mean that I should mark them as 0 (not consented) on excel or do I mark them as something different? 

# data[].attributes.headline
Can you swap you predictor and outcome variable

# data[].attributes.subject
Can you swap you predictor and outcome variable

# data[].attributes.body
I am trying to see how someones income effects their level of test so I though using T-test would be appropriate. However now that I have re-watched you demonstration video it have to have a continuous as the predictor variable and categorical as my output which do not make sense in my question. can I just swap these around?

# data[].attributes.headline
are we allowed to use text box's to write our findings from the graphs? im having trouble writing stuff under the graphs on word 

# data[].attributes.subject
are we allowed to use text box's to write our findings from the graphs? im having trouble writing stuff under the graphs on word 

# data[].attributes.headline
For my  Simple random sample can I do as follows? 1st column: student ID, 2nd column: name of islander from the bureau, 3rd column: elite occupation, 4th column: educational graduate status (uni grad or high school grad)

# data[].attributes.subject
For my  Simple random sample can I do as follows? 1st column: student ID, 2nd column: name of islander from the bureau, 3rd column: elite occupation, 4th column: educational graduate status (uni grad or high school grad)

# data[].attributes.headline
I am confused, if nominal refers to this or that category is it just simply 2 categories? if I have 3 categories will that be nominal or ordinal

# data[].attributes.subject
I am confused, if nominal refers to this or that category is it just simply 2 categories? if I have 3 categories will that be nominal or ordinal

# data[].attributes.headline
The module handbook refers to the 'implications' of the study - what is this actually referring to? 

# data[].attributes.subject
The module handbook refers to the 'implications' of the study - what is this actually referring to? 

# data[].attributes.headline
Would you say the scatterplot (figure 5) in the assessment template is linear? I am struggling to decide if my scatterplot is linear or not because it got a couple outliers.  

# data[].attributes.subject
Would you say the scatterplot (figure 5) in the assessment template is linear? I am struggling to decide if my scatterplot is linear or not because it got a couple outliers.  

# data[].attributes.body
If we use the wrong statistical test by accident will we be marked down? Will we still pass the module?

# data[].attributes.body
Could I categorise age in to 3 different age groups? I know age is continuous variable but is there any was i could do this e.g. 18-25, 25-35 to make it ordinal? How would I go about doing this

# data[].attributes.headline
In you week 10 demo you put in gender age and individual wealth in excel do you advise us to do this? or should we just include our 3 variables

# data[].attributes.subject
In you week 10 demo you put in gender age and individual wealth in excel do you advise us to do this? or should we just include our 3 variables

# data[].attributes.headline
If some of our sample are outliers, for example not living in the chosen island or unemployed, do we put them as declined for consent or do we say something specific? 

# data[].attributes.subject
If some of our sample are outliers, for example not living in the chosen island or unemployed, do we put them as declined for consent or do we say something specific? 

# data[].attributes.headline
Do we read the results of the Spearsman test differently than the Pearson test, or do the lecture on Pearson apply to Spearsman as well? 

# data[].attributes.subject
Do we read the results of the Spearsman test differently than the Pearson test, or do the lecture on Pearson apply to Spearsman as well? 

# data[].attributes.headline
if my island is in capital letters do i have to write it in capital letters throughout my study?

# data[].attributes.subject
if my island is in capital letters do i have to write it in capital letters throughout my study?

# data[].attributes.headline
i think i could only cut my methods down to 300 words 

# data[].attributes.subject
i think i could only cut my methods down to 300 words 

# data[].attributes.headline
on that table that we're supposed to fill in in the univariate section on the template, it says standard deviation in one of the columns. I thought we only use SD for scale variables but its filled out for employment status and gender on your table. Does this mean we need to ask for SD for all variables when we do our univariate graphs? 

# data[].attributes.subject
on that table that we're supposed to fill in in the univariate section on the template, it says standard deviation in one of the columns. I thought we only use SD for scale variables but its filled out for employment status and gender on your table. Does this mean we need to ask for SD for all variables when we do our univariate graphs? 

# data[].attributes.headline
to lessen my occupation categories, can I do primary, secondary, and tertiary sector jobs as my 3 categories? 

# data[].attributes.subject
to lessen my occupation categories, can I do primary, secondary, and tertiary sector jobs as my 3 categories? 

# data[].attributes.headline
In week 5, you re-code an existing nominal variable as a binary-nominal variable. Would I have to do this with gender, even though I only have 2 options

# data[].attributes.subject
In week 5, you re-code an existing nominal variable as a binary-nominal variable. Would I have to do this with gender, even though I only have 2 options

# data[].attributes.headline
I don't know if I am doing it wrong  but my means for the descriptive statistics analysis are way smaller than what is in the template. Can you help me with this please?

# data[].attributes.subject
I don't know if I am doing it wrong  but my means for the descriptive statistics analysis are way smaller than what is in the template. Can you help me with this please?

# data[].attributes.headline
If we have done an independent-samples Mann-Whitney U test, is it the Hypothesis Test summary (where it says to reject or not reject the null hypothesis) we are supposed to paste into the assessment or is there another table I am missing?

# data[].attributes.subject
If we have done an independent-samples Mann-Whitney U test, is it the Hypothesis Test summary (where it says to reject or not reject the null hypothesis) we are supposed to paste into the assessment or is there another table I am missing?

# data[].attributes.headline
my histogram looks really uneven for wealth. I think its because my highest wealth is over a million but everyone else's wealth is in the thousands. I'm not sure what number to put in the major increment section etc. to sort this out.

# data[].attributes.subject
my histogram looks really uneven for wealth. I think its because my highest wealth is over a million but everyone else's wealth is in the thousands. I'm not sure what number to put in the major increment section etc. to sort this out.

# data[].attributes.headline
is there a specific way we have to present the RQs and hypothesis? can I do i. ii. for example or bullet points for the RQs or does it have to be in full sentences?

# data[].attributes.subject
is there a specific way we have to present the RQs and hypothesis? can I do i. ii. for example or bullet points for the RQs or does it have to be in full sentences?

# data[].attributes.headline
In your week 5 demo video you put gender in pie charts, is it okay if we've put it in bar charts instead? 

# data[].attributes.subject
In your week 5 demo video you put gender in pie charts, is it okay if we've put it in bar charts instead? 

# data[].attributes.headline
how can you tell the difference between an independant and a dependant variable

# data[].attributes.subject
how can you tell the difference between an independant and a dependant variable

# data[].attributes.headline
 what do you mean when you say put all the numbers in one table using descriptive statistics? 

# data[].attributes.subject
 what do you mean when you say put all the numbers in one table using descriptive statistics? 

# data[].attributes.headline
can i use independent t test for both my research questions or do i have to use two different ones?

# data[].attributes.subject
can i use independent t test for both my research questions or do i have to use two different ones?

# data[].attributes.headline
If my histogram is skewed, does that mean I have to use Spearman instead of Pearson correlation? 

# data[].attributes.subject
If my histogram is skewed, does that mean I have to use Spearman instead of Pearson correlation? 

# data[].attributes.headline
how do you label an independent samples t test table and a correlation table in the essay?

# data[].attributes.subject
how do you label an independent samples t test table and a correlation table in the essay?

# data[].attributes.headline
if I am doing income in terms of daily income, would my variable just be income, or would it be daily income? 

# data[].attributes.subject
if I am doing income in terms of daily income, would my variable just be income, or would it be daily income? 

# data[].attributes.headline
I am re-watching the week 10 recap, are we supposed to have descriptive questions on top of the 2 RQs? 

# data[].attributes.subject
I am re-watching the week 10 recap, are we supposed to have descriptive questions on top of the 2 RQs? 

# data[].attributes.headline
do we have to write definitions like when we first mention bivariate or univariate analysis or the type of statistical test we use, or SD, IQR, etc, if so do we reference like do we have to have got our definition of it from somewhere? 

# data[].attributes.subject
do we have to write definitions like when we first mention bivariate or univariate analysis or the type of statistical test we use, or SD, IQR, etc, if so do we reference like do we have to have got our definition of it from somewhere? 

# data[].attributes.headline
when writing the mean, median and standard deviations of variables, do we report the entire number SPSS shows or do we write these values to 2 decimal places?

# data[].attributes.subject
when writing the mean, median and standard deviations of variables, do we report the entire number SPSS shows or do we write these values to 2 decimal places?

# data[].attributes.headline
individual wealth is a continuous variable. Is income a continuous variable in the same way?

# data[].attributes.subject
individual wealth is a continuous variable. Is income a continuous variable in the same way?

# data[].attributes.headline
what week is the SPSS guidance on Univariate analysis does demo 3 show how to use it? Is it enough to use this?

# data[].attributes.subject
what week is the SPSS guidance on Univariate analysis does demo 3 show how to use it? Is it enough to use this?

# data[].attributes.headline
when would you need to recode data  how can i avoid needing to do this

# data[].attributes.subject
when would you need to recode data  how can i avoid needing to do this

# data[].attributes.headline
In your week 10 demo 3 video you put the individual wealth into a bar chart after finding the median and putting it into binary. Im confused as a I thought wealth was scale and its supposed to be tables, box plots or histograms and not bar charts. 

# data[].attributes.subject
In your week 10 demo 3 video you put the individual wealth into a bar chart after finding the median and putting it into binary. Im confused as a I thought wealth was scale and its supposed to be tables, box plots or histograms and not bar charts. 

# data[].attributes.headline
I am struggling with my occupation variable as I have so many different job categories 

# data[].attributes.subject
I am struggling with my occupation variable as I have so many different job categories 

# data[].attributes.headline
can I use comparisons of means test for gender and income 

# data[].attributes.subject
can I use comparisons of means test for gender and income 

# data[].attributes.headline
if your result for a t test was not significant, does this mean there was no difference in the means of each group?

# data[].attributes.subject
if your result for a t test was not significant, does this mean there was no difference in the means of each group?

# data[].attributes.headline
do we have to match the word count in the template? 

# data[].attributes.subject
do we have to match the word count in the template? 

# data[].attributes.headline
what do i do if my histogram is symmetrical but theres a high standard deviation? is the mean not reliable? if not what else am i supposed to use 

# data[].attributes.subject
what do i do if my histogram is symmetrical but theres a high standard deviation? is the mean not reliable? if not what else am i supposed to use 

# data[].attributes.headline
do my reasons for choosing a test need to be backed up by a citing? im just a bit confused my seminar teacher said to only really put referenced in the literature review but other people are saying its throughout the whole essay 

# data[].attributes.subject
do my reasons for choosing a test need to be backed up by a citing? im just a bit confused my seminar teacher said to only really put referenced in the literature review but other people are saying its throughout the whole essay 

# data[].attributes.headline
is the references we use in the methods ones like the quantatative methods sage book that explains the tests so we use that to justify why we chose a test or are they articles that used the same tests im really confused 

# data[].attributes.subject
is the references we use in the methods ones like the quantatative methods sage book that explains the tests so we use that to justify why we chose a test or are they articles that used the same tests im really confused 

# data[].attributes.body
I have tried to make a graph with one of my variables which consists of Yes and No answers. And whenever I transfer my data from excel to SPPS I end up with many many many blank cells which then affects my results.so rather than having 2 results I end up with 3! Heeelp!

# data[].attributes.headline
how much do we refer back to the islands in the literature part?  

# data[].attributes.subject
how much do we refer back to the islands in the literature part?  

# data[].attributes.headline
do you have to label graphs and charts etc in the appendix?

# data[].attributes.subject
do you have to label graphs and charts etc in the appendix?

# data[].attributes.headline
In SPSS as you add the values of for example gender as M = 0 F = 1, do you delete the numeric column you made for gender in excel or do you delete the variable that says M or F.

# data[].attributes.subject
In SPSS as you add the values of for example gender as M = 0 F = 1, do you delete the numeric column you made for gender in excel or do you delete the variable that says M or F.

# data[].attributes.body
So as you assign the value to the column on SPSS through the key should the numeric column from Excel be deleted on SPSS

# data[].attributes.body
if you ask in the chatbox the 100 islanders 'what is your income' what type of measure would it be?

# data[].attributes.headline
when someone declines, do i take them out of my random sample collection?

# data[].attributes.subject
when someone declines, do i take them out of my random sample collection?

# data[].attributes.headline
for the assumptions of the independent samples t test, is the sample size of 30+ cases for the overall sample or for each group in the predictor variable. i've already done the independent samples t test and written up my reasoning for this test. my continuous variable is normally distributed and truly continuous and there is homogeneity of variance around the mean values for each group. my sample size is 54 but i have 34 females and only 20 males. does this mean i need to re do the test and do mann whitney instead? 

# data[].attributes.subject
for the assumptions of the independent samples t test, is the sample size of 30+ cases for the overall sample or for each group in the predictor variable. i've already done the independent samples t test and written up my reasoning for this test. my continuous variable is normally distributed and truly continuous and there is homogeneity of variance around the mean values for each group. my sample size is 54 but i have 34 females and only 20 males. does this mean i need to re do the test and do mann whitney instead? 

# data[].attributes.body
is the discussion like a normal conclusion where we can't bring in any new references and we just use the ones we used in the literature review?

# data[].attributes.body
is mood on a scale of 1-10 ordinal or not?

# data[].attributes.body
my word count is 2003 is that okay?

# data[].attributes.body
what examples of tests would I use if my variables are gender and income, and gender and occupation?

# data[].attributes.body
if wealth and income are not the same things, how do you find out someone's income? because I used the questionnaire tool but most of the islanders don't answer the question initially, they just repeat what I say, saying 'are you asking me about my income' or 'are you asking me about my daily income' rather than the exact answer

# data[].attributes.body
for our three variables, do we put them in a column in excel, for example, next to student ID, student name, and random number?

# data[].attributes.body
how do you find tax records in the islands ?

# data[].attributes.headline
when looking at employment, do we copy all of the different categories of occupation into excel? Like click on the accountants, copy them, click on the farmers, copy them etc 

# data[].attributes.subject
when looking at employment, do we copy all of the different categories of occupation into excel? Like click on the accountants, copy them, click on the farmers, copy them etc 

# data[].attributes.headline
how do you report the results of the pearson correlation? which values do we use?

# data[].attributes.subject
how do you report the results of the pearson correlation? which values do we use?

# data[].attributes.headline
what tests should i do if my variables are : marriage and individual wealth, and marriage and occupation? is it chi squared? are there more? 

# data[].attributes.subject
what tests should i do if my variables are : marriage and individual wealth, and marriage and occupation? is it chi squared? are there more? 

# data[].attributes.headline
I just want to double check this is okay. I downloaded SPSS and didnt need to use the verification code, does that mean I've done something wrong. SPSS is running fine.

# data[].attributes.subject
I just want to double check this is okay. I downloaded SPSS and didnt need to use the verification code, does that mean I've done something wrong. SPSS is running fine.

# data[].attributes.headline
If I'm doing age, gender and wealth. Is it fine to get my sample from a university? 

# data[].attributes.subject
If I'm doing age, gender and wealth. Is it fine to get my sample from a university? 

# data[].attributes.headline
can the continuous variable be the predictor in the research question

# data[].attributes.subject
can the continuous variable be the predictor in the research question

# data[].attributes.body
Does our ethics section have to be detailed or is a few sentences okay? struggling with the 200 words for methods

# data[].attributes.headline
please can you show an example a panelled box plot?

# data[].attributes.subject
please can you show an example a panelled box plot?

# data[].attributes.body
for pearson's correlation

# data[].attributes.headline
i really don't understand the measure section in the method and what i have to talk about - could you explain it please 

# data[].attributes.subject
i really don't understand the measure section in the method and what i have to talk about - could you explain it please 

# data[].attributes.headline
If some islanders don't answer the question 'what is your income?' what would I do then? (this hasn't happened yet just theoretically in case it does)

# data[].attributes.subject
If some islanders don't answer the question 'what is your income?' what would I do then? (this hasn't happened yet just theoretically in case it does)

# data[].attributes.body
what is the difference between the population, target population and sampling frame?

# data[].attributes.headline
one of my variables is occupation but i focus specifically on police so it is okay for my bar chart for that to just have one bar

# data[].attributes.subject
one of my variables is occupation but i focus specifically on police so it is okay for my bar chart for that to just have one bar

# data[].attributes.headline
im confused about where we need to cite text is it just in our literature review or do we need. to cite readings to justify our test choices in the methods 

# data[].attributes.subject
im confused about where we need to cite text is it just in our literature review or do we need. to cite readings to justify our test choices in the methods 

# data[].attributes.headline
Is there any way we could have some question examples? struggling to know what to put for my second question

# data[].attributes.subject
Is there any way we could have some question examples? struggling to know what to put for my second question

# data[].attributes.headline
how do we calculate the N and % of those who consented and declined to participate

# data[].attributes.subject
how do we calculate the N and % of those who consented and declined to participate

# data[].attributes.body
I am struggling with the choosing a good title for my research. I read the template but I was wondering if you could give an example or any tips?

# data[].attributes.headline
My variable has a normal distribution but my sample size for one of my categories isn’t big enough so I’m having to use the Mann Whitney test. When I write up my univariate analysis, do I need to say I’m using the median instead of the mean because I have a small sample size? 

# data[].attributes.subject
My variable has a normal distribution but my sample size for one of my categories isn’t big enough so I’m having to use the Mann Whitney test. When I write up my univariate analysis, do I need to say I’m using the median instead of the mean because I have a small sample size? 

# data[].attributes.headline
around 30 out of my random sample of 100 have declined to consent, is this too high or is it normal for this to happen?

# data[].attributes.subject
around 30 out of my random sample of 100 have declined to consent, is this too high or is it normal for this to happen?

# data[].attributes.headline
I am struggling to write my lit review, as I'm finding it quite hard to actually link all 3 variables together in one lit review. Do you want us to link all 3 variables together in one lit review or to essentially do two mini literature reviews examining literature in relation to each pair of variables. 

# data[].attributes.subject
I am struggling to write my lit review, as I'm finding it quite hard to actually link all 3 variables together in one lit review. Do you want us to link all 3 variables together in one lit review or to essentially do two mini literature reviews examining literature in relation to each pair of variables. 

# data[].attributes.headline
where are the median scores found on the mann whitney test on spss because i can't find them?

# data[].attributes.subject
where are the median scores found on the mann whitney test on spss because i can't find them?

# data[].attributes.headline
If i am looking at level of higher education how would i phrase this as a variable? Would i just say 'Highest level of education'

# data[].attributes.subject
If i am looking at level of higher education how would i phrase this as a variable? Would i just say 'Highest level of education'

# data[].attributes.body
Do the captions for the graphs and tables count in the word count?

# data[].attributes.headline
i have tried at least 10 times to do a scatterplot on spss and its failing so bad. help. 

# data[].attributes.subject
i have tried at least 10 times to do a scatterplot on spss and its failing so bad. help. 

# data[].attributes.headline
my sample frame is on doctors, do i have to put every doctor on all the islands on excel and then randomly select 100 of them or can i select 100 myself who have consented?

# data[].attributes.subject
my sample frame is on doctors, do i have to put every doctor on all the islands on excel and then randomly select 100 of them or can i select 100 myself who have consented?

# data[].attributes.headline
I'm doing a Mann Whitney U test. Does this mean I have to re phrase my research question to "median difference between females and males" rather than "mean difference". for my correlation test I'm doing a parametric test so I'll need the mean. I'm confused about how i make my results table for univariate statistics because one variable will have the mean and the other will have the median? how do i put this in the table?

# data[].attributes.subject
I'm doing a Mann Whitney U test. Does this mean I have to re phrase my research question to "median difference between females and males" rather than "mean difference". for my correlation test I'm doing a parametric test so I'll need the mean. I'm confused about how i make my results table for univariate statistics because one variable will have the mean and the other will have the median? how do i put this in the table?

# data[].attributes.body
Is a panelled box plot just with one line across the two box plots? Or does it look like a stacked bar chart with the two different sections?

# data[].attributes.headline
so do we do 3 charts for each variable or 1?

# data[].attributes.subject
so do we do 3 charts for each variable or 1?

# data[].attributes.headline
i feel like i need a step-by-step guide on what to do, the template is too confusing to me. im baffled 

# data[].attributes.subject
i feel like i need a step-by-step guide on what to do, the template is too confusing to me. im baffled 

# data[].attributes.headline
do we write the research question and hypotheses as it is written on the template. Do we just finish on that or would you want a couple finishing sentences after?

# data[].attributes.subject
do we write the research question and hypotheses as it is written on the template. Do we just finish on that or would you want a couple finishing sentences after?