Page 18-53

Θ Confidence limits for regression coefficients:

For the slope (Β): b − (t

n-2,α/2

)⋅s

e

/√S

xx

< Β < b + (t

n-2,α/2

)⋅s

e

/√S

xx

,

For the intercept (Α):

a − (t

n-2,α/2

)⋅s

e

⋅[(1/n)+⎯x

2

/S

xx

]

1/2

< Α < a + (t

n-2,α/2

)⋅s

e

⋅[(1/n)+⎯x

2

/

S

xx

]

1/2

, where t follows the Student’s t distribution with ν = n – 2, degrees

of freedom, and n represents the number of points in the sample.

Θ Hypothesis testing on the slope, Β:

Null hypothesis, H

0

: Β = Β

0

, tested against the alternative hypothesis, H

1

:

Β≠Β

0

. The test statistic is t

0

= (b -Β

0

)/(s

e

/√S

xx

), where t follows the

Student’s t distribution with ν = n – 2, degrees of freedom, and n represents

the number of points in the sample. The test is carried out as that of a

mean value hypothesis testing, i.e., given the level of significance, α,

determine the critical value of t, t

α/2

, then, reject H

0

if t

0

> t

α/2

or if t

0

< -

t

α/2

.

If you test for the value Β

0

= 0, and it turns out that the test suggests that you

do not reject the null hypothesis, H

0

: Β = 0, then, the validity of a linear

regression is in doubt. In other words, the sample data does not support

the assertion that Β≠ 0. Therefore, this is a test of the significance of the

regression model.

Θ Hypothesis testing on the intercept , Α:

Null hypothesis, H

0

: Α = Α

0

, tested against the alternative hypothesis, H

1

:

Α≠Α

0

. The test statistic is t

0

= (a-Α

0

)/[(1/n)+⎯x

2

/S

xx

]

1/2

, where t follows

the Student’s t distribution with ν = n – 2, degrees of freedom, and n

represents the number of points in the sample. The test is carried out as

that of a mean value hypothesis testing, i.e., given the level of significance,

α, determine the critical value of t, t

α/2

, then, reject H

0

if t

0

> t

α/2

or if t

0

<

- t

α/2

.

Θ Confidence interval for the mean value of Y at x = x

0

, i.e., α+βx

0

:

a+b⋅x−(t

n-2,α/2

)⋅s

e

⋅[(1/n)+(x

0

-⎯x)

2

/S

xx

]

1/2

< α+βx

0

<

a+b⋅x+(t

n-2, α /2

)⋅s

e

⋅[(1/n)+(x

0

-⎯x)

2

/S

xx

]

1/2

.

Θ Limits of prediction: confidence interval for the predicted value Y

0

=Y(x

0

):

a+b⋅x−(t

n-2,α/2

)⋅s

e

⋅[1+(1/n)+(x

0

-⎯x)

2

/S

xx

]

1/2

< Y

0

<

1 2 ... 615 616 617 618 619 620 621 622 623 624 625 ... 886 887

Komentarze do niniejszej Instrukcji

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Hoshizaki DCM-500BWH-OS manuels

Manuels d'utilisation et guides de l'utilisateur pour Congélateurs Hoshizaki DCM-500BWH-OS.
Nous fournissons des manuels en pdf 1 Hoshizaki DCM-500BWH-OS à télécharger gratuitement par type de document : Manuel de l'utilisateur

Hoshizaki DCM-500BWH-OS Manuel de l'utilisateur (69 pages)

marque: Hoshizaki | Catégorie: Freezers | Taille: 3.31 MB |

Anglais

Table des matières

Hoshizaki

1

IMPORTANT

2

CONTENTS

3

I. Specications

5

A. Icemaker

5

2. DCM-500BAH-OS

6

3. DCM-500BWH

7

4. DCM-500BWH-OS

8

II. General Information

9

A. Construction

9

B. Ice Making Unit

11

C. Sequence of Operation

12

1. Startup

13

2. Shutdown & Restart

13

3. 12 Hour Drain Cycle

13

Shutdown & Restart

13

D. Control Board

14

1. Control Board Layout

15

Control Board

15

E. Float Switch

20

III. Technical Information

21

2. DCM-500BWH(-OS)

22

B. Wiring Diagrams

23

WIRE COLOR CODE

24

E. Performance Data

34

IV. Service Diagnosis

36

A. Diagnostic Procedure

36

B. Ice Production Check

37

C. Diagnostic Charts

38

2. Low Ice Production

41

3. Other

42

4. Dispensing

43

5. Opti Serve (OS) Sensors

44

5c. Water Dispensing

45

Water-Cooled Model Only

58

VI. Cleaning and Maintenance

63

B. Maintenance

67

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