Short-term memory, the capacity to hold bits of information active in one's mind, is normally distributed with a population mean (?) of 7 and a population standard deviation (?) of 2. In the survey I sent to the class, I had students complete a digit-span task, a widely used assessment of short-term memory that measures how many numbers a person can accurately recall at one time. Below are a selection of 7 digit span scores, randomly sampled from the students who completed the survey. Did the average short-term memory capacity in our class differ from the population average?Participants:1,2,3,4,5,6,7, score:6,9,10,6,9,8,7 What kind of analysis will you use? Why? State the null and alternative hypotheses. Sketch a distribution and shade the rejection region(s), including the corresponding critical value(s). Calculate your test statistic and interpret the results of your test. What do you conclude about the null hypothesis? Are there significant differences?

The z test are used to compare the mean significance between the sample and population. It follows…

Answered: Short-term memory, the capacity to hold…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Short-term memory, the capacity to hold bits of information active in one's mind, is normally distributed with a population mean (?) of 7 and a population standard deviation (?) of 2. In the survey I sent to the class, I had students complete a digit-span task, a widely used assessment of short-term memory that measures how many numbers a person can accurately recall at one time. Below are a selection of 7 digit span scores, randomly sampled from the students who completed the survey. Did the average short-term memory capacity in our class differ from the population average?

Participants:1,2,3,4,5,6,7, score:6,9,10,6,9,8,7 What kind of analysis will you use? Why?

State the null and alternative hypotheses.

Sketch a distribution and shade the rejection region(s), including the corresponding critical value(s).

Calculate your test statistic and interpret the results of your test.

What do you conclude about the null hypothesis? Are there significant differences?

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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