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denis-greek [22]
3 years ago
13

When a researcher needs to compare means for a variable grouped into two categories based on some less-than interval variable, a

n _ in appropriate?
Mathematics
1 answer:
kodGreya [7K]3 years ago
8 0


When a researcher needs to compare means for a variable grouped into two categories based on some less-than interval variable, a t-test is appropriate.

To add, The analysis of two populations means through the use of statistical examination is called a t-test. Small sample sizes commonly use a t-test with two samples. <span> What statisticians call as test statistics are identified as t-values. A systematized value that is calculated from sample data during a hypothesis test is called a test statistic. The procedure that calculates the test statistic compares your data to what is expected under the </span>null hypothesis<span>.

You already have an experience with the basic principles behind a t-test if you’ve tried to communicated with a distracted teenager.</span>

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The experiment with the least number of trials.
 
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4 years ago
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A sales manager collected data on annual sales for new customer accounts and the number of years of experience for a sample of 1
Nadya [2.5K]

Answer:

Kindly check explanation

Step-by-step explanation:

Given :

Years of experience (X) :

1

3

3

5

7

8

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10

12

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Annual sales (Y) :

85

97

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97

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120

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y = b0 + b1x

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The Coefficient of determination R² = 0.8477 = 0.848 ( 3 decimal place).

The Coefficient of determination gives the proportion of explained variance.

About 84.8% percent variation in annual sales can be explained by years of experience of the sales person.

Using the regression equation :

ŷ = 3.46061X + 82.82967

Years of experience, x = 8

ŷ = 3.46061(8) + 82.82967 = 110.514

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4 0
3 years ago
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102*104=10608
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