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Consider the observed frequency distribution for a set of grouped random variabl

ID: 2949655 • Letter: C

Question

Consider the observed frequency distribution for a set of grouped random variables available below. Perform a chi-square test using a a 0.05 to determine if the observed frequencies follow the normal probability distribution with ? 99 and ?=19. EB Click the icon to view the observed frequency distribution State the appropriate null and altemative hypotheses. What is the null hypothesis? A. Ho: The mean number of the random variable is not equal to 99. O B. Ho: The random variable follows the normal probability distribution Oc. ??: The mean numberofthe random varable is equal to 99. 0 D. ??-The random variable does rot 10lowite normal probablity darbunon. Click to select your answer and then click Check Answer Clear All 8

Explanation / Answer

Solution:

The null and alternative hypotheses for the given test are given as below:

Null hypothesis: H0: The random variable follows the normal probability distribution.

Alternative hypothesis: Ha: The random variable does not follow the normal probability distribution.

We are given

Level of significance = ? = 0.05

Mean of normal distribution = µ = 99

SD of normal distribution = ? = 19

Test statistic is given as below:

Chi square = ?[(O – E)^2/E]

Where, O is observed frequencies and E is expected frequencies.

Observed frequencies, Expected frequencies, and calculations are provided in the following table:

X

O

P

E

(O - E)^2

(O - E)^2/E

Less than 80

10

0.158655254

7.932762697

4.273470069

0.538711447

80 to 99

14

0.341344746

17.0672373

9.407944676

0.551228328

99 to under 118

18

0.341344746

17.0672373

0.870046248

0.050977568

118 and more

8

0.158655254

7.932762697

0.004520855

0.000569897

Total

50

1

50

1.141487239

Probabilities of normal distribution are calculated by using z-table or excel.

[Excel command: =normdist() in case particular score or normsdist() in case z-score]

Chi square = ?[(O – E)^2/E] = 1.141487239

Test statistic = 1.141487239

We are given

N = 4, df = 4 – 1 = 3, ? = 0.05

Critical value = 7.814727764 (by using Chi square table or excel command =chiinv(?,df))

P-value = 0.767069502 (by using Chi square table or excel command =chidist(x,df))

Here, P-value > ? = 0.05

So, we do not reject the null hypothesis that the random variable follows the normal probability distribution.

There is sufficient evidence to conclude that the random variable follows the normal probability distribution.

X

O

P

E

(O - E)^2

(O - E)^2/E

Less than 80

10

0.158655254

7.932762697

4.273470069

0.538711447

80 to 99

14

0.341344746

17.0672373

9.407944676

0.551228328

99 to under 118

18

0.341344746

17.0672373

0.870046248

0.050977568

118 and more

8

0.158655254

7.932762697

0.004520855

0.000569897

Total

50

1

50

1.141487239

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