Question

We have two samples of people who took a literacy test, termed Literacy A and Literacy...

We have two samples of people who took a literacy test, termed Literacy A and Literacy B which are from two different states. Researches are interested if there's a difference in literacy between the two states.
Literacy A Literacy B
9.6. 24
8.9. 10
11.4. 20.7
7.2. 11.4
9.2. 4
-0.3 -4.5
2.2. 22.2
-4.5. -4.5
6.6. 6.6
7.3. 7.3
11.5. 11.5
8.6. 8.6
3.4. 3.4
2.2. 2.2
18.4. 18.4
-4.8. -4.8

please use "Fisher Exact Test"

Homework Answers

Answer #1

from the fisher exact test in the R studio,

p value is greater than 0.05 (level of significance).

Therefore we accept the Null hypothesis at 5% level of significance.

I.e. we can conclude that,

There is no difference in the Literacy of two states .

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Use the data in Bank Dataset to answer this question. Construct a 95% confidence interval for...
Use the data in Bank Dataset to answer this question. Construct a 95% confidence interval for the mean increase in deposits. Note that the population standard deviation σ is not known in this case. Instead the sample standard deviation s should be calculated from the sample and the t distribution should be used. 2. What is the margin of error at the 95% confidence level? Bank Dataset of Increase in deposits. Mean is 4. Sample size is 152 customers. 4.3...
An important statistical measurement in service facilities (such as restaurants and banks) is the variability in...
An important statistical measurement in service facilities (such as restaurants and banks) is the variability in service times. As an experiment, two bank tellers were observed, and the service times for each of 100 customers were recorded. Do these data allow us to infer at the 5% significance level that the variance in service times differs between the two tellers? Estimate with 95% confidence the ratio of variances of the two bank tellers. Teller 1 Teller 2 7.2 10.9 5.4...
We want to compare the soil water content (% water by volume) of two fields growing...
We want to compare the soil water content (% water by volume) of two fields growing bell peppers. The claim is that the two fields have different soil water content. Use the data below to test the hypothesis that the fields have different soil water content. Field 1 is in list1 and Field 2 is in list2. We do not know whether the water content values are normally distributed or not, but their variances are equal. Provide your answers below....
We wish to determine the impact of Specification Buying, X11, on Satisfaction Level, X10. To do...
We wish to determine the impact of Specification Buying, X11, on Satisfaction Level, X10. To do so we will split the Hatco data file into two separate data sets based on the Specification Buying, X11. This variable has two categories: 1=employs total value analysis approach, evaluating each purchase separately; 0 = use of specification buying. Sort the entire Hatco data set based on Specification Buying. This will create two separate groups of records. Those records with X11 = 0 and...
Using the two-sample hypothesis test comparing old call time to new call time at a .05...
Using the two-sample hypothesis test comparing old call time to new call time at a .05 level of significance, discuss the hypothesis test assumptions and tests used. Provide the test statistic and p-value in your response. Evaluate the results of the hypothesis test with the scenario. Provide recommendations for the vice president. Using new call time and coded quality, develop a prediction equation for new call time. Evaluate the model and discuss the coefficient of determination, significance, and use the...
Med Student Sleep Average (Raw Data, Software Required): Here we consider a small study on the...
Med Student Sleep Average (Raw Data, Software Required): Here we consider a small study on the sleep habits of med students and non-med students. The study consists of the hours of sleep per night obtained from 30 non-med students and 25 med students. The sample data is given in the table below. Test the claim that, on average, the mean hours of sleep for all med students is different from that for non-med students. Test this claim at the 0.05...
Census data was collected on the 50 states and Washington, D.C. We are interested in determining...
Census data was collected on the 50 states and Washington, D.C. We are interested in determining whether average lifespan (LIFE) is related to the ratio of males to females in percent (MALE), birth rate per 1,000 people (BIRTH), divorce rate per 1,000 people (DIVO), number of hospital beds per 100,000 people (BEDS), percentage of population 25 years or older having completed 16 years of school (EDUC) and per capita income (INCO). "STATE" "MALE" "BIRTH" "DIVO" "BEDS" "EDUC" "INCO" "LIFE" AK...
In R, if I have a plot of LIFE against BIRTH and I want to specifically...
In R, if I have a plot of LIFE against BIRTH and I want to specifically mark the data point corresponding to STATE "AK" in the graph as red colour(the rest of the points as black color), what R command should we use?(Please don't look through the data to find AK's birth value(24.8)or life value (69.31)and mark this point manually referring to this value as other state can have the same birth and life value) "STATE" "MALE" "BIRTH" "DIVO" "BEDS"...
Census data was collected on the 50 states and Washington, D.C. We are interested in determining...
Census data was collected on the 50 states and Washington, D.C. We are interested in determining whether average lifespan (LIFE) is related to the ratio of males to females in percent (MALE), birth rate per 1,000 people (BIRTH), divorce rate per 1,000 people (DIVO), number of hospital beds per 100,000 people (BEDS), percentage of population 25 years or older having completed 16 years of school (EDUC) and per capita income (INCO), with LIFE (y) as the response variable, and MALE...
To measure profitability, La Quinta used operating margin, which is the ratio of the sum profit,...
To measure profitability, La Quinta used operating margin, which is the ratio of the sum profit, depreciation, and interest expenses divided by total revenue. The ratio is expressed in percent form, meaning that it could theoretically take on any value between 0 and 100, with a higher value indicating greater profitability. La Quinta defines profitable inns as those with an operating margin in excess of 50 percent; unprofitable inns are those with margins of less than 30 percent. After a...