T-Test On The Returns Of Sainsbury And Tesco

So, we should reject the null hypothesis H0. At a 0.05 level of significance level, we conclude that there is a significant difference between the average height for females and the average height for the males.

The purpose of this report is to conduct a comparative ratio analysis of the financial statements of J. Sainsbury PLC and Tesco PLC for the year-ending 2013. The financial information that is provided from each company’s annual report and the comparison between them will help possible users of this analysis to understand not only the differences between these two companies but also each company’s weaknesses and strengths. Below, the profiles of the two companies will be referred as well as eight accounting ratios for each

The purpose of this report is to critically analyse the financial ratio results of Morrison 2008 and 2009 as an equity analyst and compare it with like for like by using Tesco supermarket.

Testing allows the p-value that represents the probability showing that results are unlikely to occur by chance. A p-value of 5% or lower is statistically significant. The p value helps in minimizing Type I or Type II errors in the dataset that can often occur when the p value is more than the significance level. The p value can help in stopping the positive and negative correlation between the dataset to reject the null hypothesis and to determine if there is statistical significance in the hypothesis. Understanding the p value is very important in helping researchers to determine the significance of the effect of their experiment and variables for other researchers

The null hypothesis was that the female and male shoe sizes have an equal mean while the alternative hypothesis was that female and male shoe sizes do not have an equal mean. With the degrees of freedom being 33, the t-statistic is -8.27. The probability that -8.27 is ≤-1.69 is 7.5×10-10 for the one-tailed test. Also, the probability that -8.27 is ≤ ±2.03. is 1.5×10-9 for the two-tailed test. Due to both probabilities being under the alpha value of 0.05, the null hypothesis is rejected, and the alternative hypothesis is accepted at the 95% confidence level.

To test the null hypothesis, if the P-Value of the test is less than 0.05 I will reject the null hypothesis.

“Hypothesis testing is a decision-making process for evaluating claims about a population” (Bluman, 2013, p. 398). This process is used to determine if you will accept or reject the hypothesis. The claim is that the bottles contain less than 16 ounces. The null hypothesis is the soda bottles contain 16 ounces. The alternative hypothesis is the bottles contain less than 16 ounces. The significance level will be 0.05. The test method to be used is a t-score. The test statistic is calculated to be -11.24666539 and the P-value is 1.0.  The P-value is the probability of observing a sample statistic as extreme as the test statistic, assuming the null hypothesis is true. The T Crit value is 1.69912702. The calculations show there is enough evidence to support the claim that the soda bottles do

At the .01 significance level is there a difference in the mean amount purchased on an impulse at the two stores? Explain these results to a person who knows about the t test for a single sample but is unfamiliar with the t test for independent means.

Thus, if the statistical test comes back showing a p-value less than 0.05, it is determined that the groups are significantly different from each other. The

A statistical examination of two population means. A two-sample t-test examines whether two samples are different and is commonly used when the variances of two normal distributions are unknown and when an experiment uses a small sample size. For example, a t-test could be used to compare the average floor routine score of the U.S. women's Olympic gymnastics team to the average floor routine score of China's women's team.

hypothesizing a difference of 0, if the confidence interval does not contain 0, the null hypothesis is rejected.| A)|True| B)|False| 5.|For normally distributed

For this analysis, we are testing the hypothesis for the population mean, with the test having a unknown sigma. With the known data, the Null hypothesis should be assumed that the revenue for the food court has not changed since 2011.

A t-test asks whether a difference between two groups’ averages is unlikely to have occurred because of random chance in sample selection. A difference is more likely

At the .01 significance level, is there a difference in the mean number of times men and women order take-out dinners in a month? What is the p-value?

Explain, using the appropriate p-value. With a 0.0128 p-value this means the exact level of significance for a T-Ratio of 2.63 is 1 % and the level of confidence is 99%. Stating b is statistically significant.