Hi, Please answer all parts.- Can normality be assumed?Last parts, the options are:- P Value : greater than OR Less than- Null hypothesis: Fails to be rejected OR Is rejected- Mean GPA: Sufficient OR Insufficient A school administrator believes that the mean class GPAS for a given course are higher than the preferredmean of 2.75 at a significance level of 0.05, and checks a randomly chosen sample of 50 classes. Create ahistogram, and calculate x, the t-statistic, and the p-value.From the histogram, can normality be assumed?YesNoPickx = Ex: 1.234t == dSince the p-value is Pickthan the significance level 0.05, the null hypothesis PickPickevidence exists that the mean GPA is greater than 2.75. ABDEFHJ12.852.73Frequency of 'Field1'32.438100%43.0190%72.8480%670%3.1360%72.8150%83.0240%30%9.3.1020%102.9810%112.940%122.70132.84142.41153.05Field1162.91172.70182.78193.11202.58213.18222.85233.01242.87252.92262.42272.68282.69292.53302.70312.65322.68332.93342.77352.71362.66372.78382.97392.83402.77413.16422.97432.86442.73452.94462.65472.94482.71492.85503.025152Frequency(2.83, 2.86](2.68, 2.71](2.92, 2.95](3.01, 3.04][2.41, 2.44](2.65, 2.68](2.71, 2.74](2.77, 2.80](2.95, 2.98](3.16, 3.19](2.53, 2.56](2.56, 2.59]* (2.62, 2.65] I(2.74, 2.77](2.80, 2.83](2.86, 2.89](2.89, 2.92](3.04, 3.07](3.07, 3.10](3.10, 3.13](3.13, 3.16](2.44, 2.47](2.47, 2.50](2.50, 2.53](2.59, 2.62](2.98, 3.01]

Name: Hi, Please answer all parts.- Can normality be assumed?Last parts, the
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Description: Hi, Please answer all parts.- Can normality be assumed?Last parts, the options are:- P Value : greater than OR Less than- Null hypothesis: Fails to be rejected OR Is rejected- Mean GPA: Sufficient OR Insufficient A school administrator believes that

Step-by-step procedure to obtain histogram using MINITAB. Enter the given data in MINITAB with the…

Answered: A school administrator believes that…

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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Hi, Please answer all parts.

- Can normality be assumed?

Last parts, the options are:

- P Value : greater than OR Less than

- Null hypothesis: Fails to be rejected OR Is rejected

- Mean GPA: Sufficient OR Insufficient

A school administrator believes that the mean class GPAS for a given course are higher than the preferred
mean of 2.75 at a significance level of 0.05, and checks a randomly chosen sample of 50 classes. Create a
histogram, and calculate x, the t-statistic, and the p-value.
From the histogram, can normality be assumed?
Yes
No
Pick
x = Ex: 1.234
t =
= d
Since the p-value is Pick
than the significance level 0.05, the null hypothesis Pick
Pick
evidence exists that the mean GPA is greater than 2.75.

A
B
D
E
F
H
J
1
2.85
2.73
Frequency of 'Field1'
3
2.43
8
100%
4
3.01
90%
7
2.84
80%
6
70%
3.13
60%
7
2.81
50%
8
3.02
40%
30%
9.
3.10
20%
10
2.98
10%
11
2.94
0%
12
2.70
13
2.84
14
2.41
15
3.05
Field1
16
2.91
17
2.70
18
2.78
19
3.11
20
2.58
21
3.18
22
2.85
23
3.01
24
2.87
25
2.92
26
2.42
27
2.68
28
2.69
29
2.53
30
2.70
31
2.65
32
2.68
33
2.93
34
2.77
35
2.71
36
2.66
37
2.78
38
2.97
39
2.83
40
2.77
41
3.16
42
2.97
43
2.86
44
2.73
45
2.94
46
2.65
47
2.94
48
2.71
49
2.85
50
3.02
51
52
Frequency
(2.83, 2.86]
(2.68, 2.71]
(2.92, 2.95]
(3.01, 3.04]
[2.41, 2.44]
(2.65, 2.68]
(2.71, 2.74]
(2.77, 2.80]
(2.95, 2.98]
(3.16, 3.19]
(2.53, 2.56]
(2.56, 2.59]
* (2.62, 2.65] I
(2.74, 2.77]
(2.80, 2.83]
(2.86, 2.89]
(2.89, 2.92]
(3.04, 3.07]
(3.07, 3.10]
(3.10, 3.13]
(3.13, 3.16]
(2.44, 2.47]
(2.47, 2.50]
(2.50, 2.53]
(2.59, 2.62]
(2.98, 3.01]

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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