×
Services Samples Blogs Make Payment About us Reviews 4.9/5 Order Now

Inferential Statistics Homework - Testing Proportions and Means in SPSS

October 26, 2023
Luca Ruiz
Luca Ruiz
🇨🇦 Canada
SPSS
Luca Ruiz is an experienced SPSS Assignment Helper who has completed more than 1800 assignments. He is from Canada and holds a Master’s in Statistics from Dalhousie University. Luca specializes in SPSS assignments, providing expert guidance and support to students, ensuring their success in mastering statistical software.
SPSS
Key Topics
  • Problem Description:
  • Solution:
    • Test of Proportion and Mean
Tip of the day
When tackling a statistics problem, always start by visualizing the data! A simple graph or chart can help reveal trends, outliers, and patterns that aren’t immediately obvious from raw numbers. Understanding your data visually can make the analysis much clearer!
News
The rise of AI and big data is reshaping the field of statistics. Recent trends highlight the growing need for expertise in statistical modeling, machine learning, and data visualization, with applications in healthcare, finance, and technology.

A comprehensive SPSS homework on inferential statistics, where we delve into the realms of proportions and means to make insightful inferences about various populations. In this homework, we address two pivotal questions: Is the proportion of schools with Grade B different from 50%, and is the population mean of reading scores greater than 500? Let's explore the statistical journey that leads to these answers.

Problem Description:

This inferential statistics homework focuses on the testing of proportions and means to make inferences about populations. Two key questions are addressed in this homework: (1) Is the proportion of schools with Grade B different from 50%? (2) Is the population mean of reading scores greater than 500?

Solution:

Test of Proportion and Mean

1. The 95% confidence interval of proportion for Grade B was obtained to test the following hypothesis

Null Hypothesis:The probability that a school will have a Grade B is 0.5 (p = 0.5)

Alternative Hypothesis: The probability that a school will have a Grade B is not equal to 0.5

The confidence interval was obtained in SPSS and the result is displayed below;

Confidence IntervalTypeParameterEstimate95% Confidence Interval
LowerUpper
One Sample BinomialSuccess rate(Clopper-Pearson)Probability(Grade = B).220.115.360

The result indicates that the proportion of all schools with grade B can be as low as 11.5% and can be as high as 36%.

2. To test whether the true proportion of schools with grade B is less than 0.5, a test of proportion was carried out in SPSS with the following hypothesis and rejection rule

Null Hypothesis:The probability that a school will have a Grade B is 0.5 (p = 0.5)

Alternative Hypothesis: The probability that a school will have Grade B is less than 0.5 (p<0.5)

Rejection rule:We reject the null hypothesis if the p-value is less than 0.05

The test result has a p-value less than 0.05, we reject the null hypothesis and conclude that, the probability that a school has a grade B is less than 0.05.

One Sample Binomial Test
Total N50
Test Statistics11.000
Standard Error3.536
Standardized Test Statistics-3.818
Asymptotic Sig. (2-sided test).000

3. The confidence interval for the population mean is given in the table below

Descriptives

   Descriptives   
            Statistic      Std. Error   
   Math Score      Mean      537.82      6.758   
   95% Confidence Interval for Mean      Lower Bound      524.25          
   Upper Bound      551.40          
   5% Trimmed Mean      538.36          
   Median      525.00          
   Variance      2329.228          
   Std. Deviation      48.262          
   Minimum      438          
   Maximum      620          
   Range      182          
   Interquartile Range      83          
   Skewness      .115      .333   
   Kurtosis      -1.012      .656   

The 95% confidence interval of the population mean (524.25, 551.40) indicates that we 95% confident that the population average math score is between 524.25 and 551.40

4. To test whether the true population mean of reading score is greater than 500, the following hypothesis was tested at 0.05 level of significant

Null hypothesis: The population mean reading score is 500

Alternative hypothesis: The population mean reading score is less than 500

Rejection rule: Reject the null hypothesis if the p-value is less than 0.05

The test result is displayed below;

   One-Sample Statistics   
          N      Mean      Std. Deviation      Std. Error Mean   
   Reading Score      51      534.67      47.903      6.708   
   One-Sample Statistics   
          N      Mean      Std. Deviation      Std. Error Mean   
   Reading Score      51      534.67      47.903      6.708   

The test result has a p-value greater than 0.05, the null hypothesis is not rejected and hence we conclude that the population mean reading score is 500. [t (50) = 5.168, p>0.05]

Similar Samples

Our sample section showcases expertly solved statistics assignments, demonstrating the quality and accuracy of our work. You'll find solutions to problems involving data analysis, hypothesis testing, and SPSS applications, offering a glimpse of our thorough approach to delivering precise and reliable homework solutions.