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lyudmila [28]
3 years ago
8

Find the critical value tc for the confidence level cequals 0.95 and sample size nequals 19.

Mathematics
1 answer:
Alex_Xolod [135]3 years ago
8 0

The critical values are fixed values which can be obtained from the standard t crit  tables. We can find the critical value tc when the degrees of freedom and confidence level are given. The degrees of freedom is simply:

Degrees of Freedom = Number of samples – 1

Degrees of Freedom = 19 – 1

Degrees of Freedom = 18

From the t critical tables, the tc corresponding to Degrees of Freedom equal to 18 and Confidence level equal to 95% is as follows:

tc = 2.101

Therefore this means that any t value beyond 2.101, we already reject the null hypothesis.

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I am Lyosha [343]
Hmmm Interesting: 189.5+129.5+99.5+53
I got 471.5 Dollars....

Because Look If they buy 10 tickets each category it be 18.95 times 10= 189.5
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3 0
3 years ago
Read 2 more answers
Plz help one question​
Vladimir [108]

z° = 80° (Being corresponding angles)

y° + 80° = 180° (Being linear pair of angles)

=> y° = 180° - 80°

=> y° = 100°

x° = y° (Being interior opposite angles)

=> x° = 100°

3 0
3 years ago
The rectangular prism below has a length of 18 inches, a width of 24 inches, and a height of 12 inches.
andrew11 [14]

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1872

Step-by-step explanation:on edge

3 0
4 years ago
in a recent semester at a local university 520 students enrolled in both general chemistry and calculus 1. Of these students 88
IceJOKER [234]

Let Ch and C denote the events of a student receiving an A in <u>ch</u>emistry or <u>c</u>alculus, respectively. We're given that

P(Ch) = 88/520

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P(Ch and C) = 31/520

and we want to find P(Ch or C).

Using the inclusion/exclusion principle, we have

P(Ch or C) = P(Ch) + P(C) - P(Ch and C)

P(Ch or C) = 88/520 + 76/520 - 31/520

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6 0
3 years ago
A banks loan officer rates applicants for credit. The ratings are normally distributed with a mean of 200 and a standard deviati
Alona [7]

Answer:

2.87%

Step-by-step explanation:

We have the following information:

mean (m) = 200

standard deviation (sd) = 50

sample size = n = 40

the probability that their mean is above 21.5 is determined as follows:

P (x> 21.5) = P [(x - m) / (sd / n ^ (1/2))> (21.5 - 200) / (50/40 ^ (1/2))]

P (x> 21.5) = P (z> -22.57)

this value is very strange, therefore I suggest that it is not 21.5 but 215, therefore it would be:

P (x> 215) = P [(x - m) / (sd / n ^ (1/2))> (215 - 200) / (50/40 ^ (1/2))]

P (x> 215) = P (z> 1.897)

P (x> 215) = 1 - P (z <1.897)

We look for this value in the attached table of z and we have to:

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P (x> 215) =.0287

Therefore the probability is approximately 2.87%

4 0
4 years ago
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