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Damm [24]
1 year ago
8

To compare two programs for training industrial workers to perform la skilled job, 10 workers are included in an experiment. All

10 workers were trained by both programs; 5 were trained by method 1 first and then method 2, the other 5 were trained by method 2 first and then method 1. After completion of each training, all the workers are subjected to a time-and-motion test that records the speed of performance of a skilled job. The following data are obtained.
Business
1 answer:
Alex17521 [72]1 year ago
5 0

If we compare the p value and the significance level assumed  we see that  so we can conclude that we have enough evidence to reject the null hypothesis, and we can conclude the the true mean for method 1 is lower than the mean for the method 2 at 5% of significance.

<h3>Data given and notation</h3>

We can calculate the sample mean and deviation with these formulas:

represent the mean for the sample mean for 1

represent the mean for the sample mean for 2

represent the sample standard deviation for the sample 1

represent the sample standard deviation for the sample 2

sample size selected 1

sample size selected 2

represent the significance level for the hypothesis test.

t would represent the statistic (variable of interest)

represent the p value for the test (variable of interest)

State the null and alternative hypotheses.

We need to conduct a hypothesis in order to check if the average time taken when training under method 1 is less than the average time for Method 2, the system of hypothesis would be:

<h3>Null hypothesis:</h3>

Alternative hypothesis:

If we analyze the size for the samples both are less than 30 so for this case is better apply a t test to compare means, and the statistic is given by:

(1)

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other".

Calculate the statistic

We can replace in formula (1) the info given like this:

 P-value

The first step is calculate the degrees of freedom, on this case:

Since is a one sided test the p value would be:

To learn more about  null hypothesis visit the link

brainly.com/question/16261813

#SPJ4

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Outdoor Company expects to sell 7 comma 500 units for $ 175 each for a total of $ 1 comma 312 comma 500 in January and 2 comma 5
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Answer and  Explanation:

The preparation is presented below:

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               Inventory, Purchases, and Cost of Goods Sold Budget    

             Two months Ended January 31 and February 28

Particulars              January          February March

Sales in units         7,500 units      2,500 units   4,700 units

Sales price         $175                 $195              $270

Sales in dollars $1,312,500      $487,500       $1,269,000

Percentage of cost of goods sold 60%   60% 60%

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Add: Desired ending merchandise inventory $185,500 466,840

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Total merchandise inventory required $973,000   $759,340

Less: Beginning merchandise inventory $482,500  $185,500

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Budgeted purchases $490,500  $573,840

The ending inventory of month of Jan should be beginning inventory of Feb and the same is shown above

         

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