Jake is a district manager at Walmart, and he has had a lot of trouble keeping employees. He cannot increase pay, cannot increase break-times nor benefits, but Jake is known for being extremely happy. Jake is currently focused on two different “troubled” stores, and has decided to try out using verbal reinforcement to see if it can have a substantial impact on employee satisfaction. For one store, Jake tells his managers to say at least 3 positive things to every employee every shift, and asks employees to say at least 3 positive things to employees they work with. At the other store, Jake does not ask any manager nor employee to change how they talk to each other. After 2 weeks, Jake gives every employee a short anonymous questionnaire on employee satisfaction. He then ranks the employees from highest to lowest satisfaction. What statistical test should be used to analyze this data?
Chi-square for Goodness of Fit |
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Chi-square for Independence |
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Mann-Whitney U |
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Wilcoxon T |
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Independent-measures t-test |
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Repeated-measures t-test (paired-samples t-test) |
Which are people more likely to do accidentally, put colored clothes in with the white clothes wash, or white clothes in with the colored clothes wash? Principia Martindale surveys 4800 people, and asks them to tell her over a month-long period how many items of mismatched clothes they put in their colored and white washes. She finds that on average people put 2.4 white clothes in with the colored wash (variance=4.1), and 4.8 colored clothes in with the white wash (variance=3.2). The sample distributions appear to be normally distributed. Do people put more whites in with coloreds, or more coloreds in with whites?
one-sample z-test (single-sample z-test) |
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repeated-measures t-test (i.e., dependent samples t-test) |
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Independent-measures ANOVA |
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Repeated-measures ANOVA (i.e., dependent samples ANOVA) |
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two-way ANOVA |
For Qut 1.
We must use Pair T test..
Because we before and after observation of walmart employ.
I.e We have one variable in which employ are with 3 positive things.
And second variable with without 3 positive things.
In this type of situation we use Paired t test.
Que 2.
Here we use one sample z test.
Bcs for both the sample we have mean and its variance are given.
And the sample follows Normal distribution .
Hence first find z test for one sample.
And z value for second sample.
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