Final answer:
The z-value and p-value are not provided in the given information. Cohen's d is equal to 0.834, indicating a large effect size.
Step-by-step explanation:
The z-value, also known as the z-score, is a measure of how many standard deviations a data point is away from the mean. It is not provided in the given information.
The p-value is a measure of the probability of obtaining results as extreme as the ones observed, assuming the null hypothesis is true. It is not provided in the given information.
Cohen's d is a measure of effect size that quantifies the difference between two means. It is calculated by dividing the difference between the means by the standard deviation. The given information states that d is equal to 0.834, which falls within the range for a large effect size according to Cohen's standards.