Use the attached Excel table to see the average cost of tuition by s (public four year college) and use the cost of tuition per year for in state students. ) USE every THI RD state START I NG WITH MT (MONTANA) since they are in order from low to high so we get a good sample of all 50 Do not count (skip) US (United States) or delete that row before you sta Notice that that US average is different -it is $9650. So our claim is that the average in-state tuition is more than $9410. You should have 16 states for public four year colleges in-state tuition. Name of State Cost of' Tuition (per year for in s1 MT 6410 NV 6910 NC 7200 NY 7710 OK 8030 IA 8270 LA 8900 IN 9200 MD 9370 ME 9690 AL 10040 HI 10670 RI 11410 SC 12190 Ml 12460 PA 13880 Form the hypotheses (null and alternative) and identify the claim Claim: Average in-state tuition is more than 9410. Ho: HO: μ =9410 Hα: HA: μ>9410 State the distribution and test statistic to be used. Normal distribution and test statistic 4pts. Find the sample mean to the nearest whole number. 9521 4 pts. Find the sample standard deviation to the nearest who le number. 2151 Find the value of the test statistic. To 3 decimal places 0.206 Compute and interpret the p-value. To 2 decimal places 0.42 Use the previous informat ion to sketch a picture of this situation. CLEARLY, label and sca le the horizonta l ax is and shade the region(s) corresponding to the p-value. 6pts. Make the decision to reject or to not reject the null hypothesis. Explain. Since P value is > 0.05 it is not significant, so do not reject the null hypothesis. 6pts. Form a conclusion written in terms of the original claim. There is not sufficient evidence to show that average in state tuition is more than 9410 6 pts. Ide ntify any Type I or Type II errors. Type 1: Type II: Accept the claim that in state tuition averages 9410 when it in state tuition averages more than 9410

Use the attached Excel table to see the average cost of tuition by s (public four year college) and use the cost of tuition per year for in state students. ) USE every THI RD state START I NG WITH MT (MONTANA) since they are in order from low to high so we get a good sample of all 50 Do not count (skip) US (United States) or delete that row before you sta Notice that that US average is different -it is $9650. So our claim is that the average in-state tuition is more than $9410. You should have 16 states for public four year colleges in-state tuition. Name of State Cost of' Tuition (per year for in s1 MT 6410 NV 6910 NC 7200 NY 7710 OK 8030 IA 8270 LA 8900 IN 9200 MD 9370 ME 9690 AL 10040 HI 10670 RI 11410 SC 12190 Ml 12460 PA 13880 Form the hypotheses (null and alternative) and identify the claim Claim: Average in-state tuition is more than 9410. Ho: HO: μ =9410 Hα: HA: μ>9410 State the distribution and test statistic to be used. Normal distribution and test statistic 4pts. Find the sample mean to the nearest whole number. 9521 4 pts. Find the sample standard deviation to the nearest who le number. 2151 Find the value of the test statistic. To 3 decimal places 0.206 Compute and interpret the p-value. To 2 decimal places 0.42 Use the previous informat ion to sketch a picture of this situation. CLEARLY, label and sca le the horizonta l ax is and shade the region(s) corresponding to the p-value. 6pts. Make the decision to reject or to not reject the null hypothesis. Explain. Since P value is > 0.05 it is not significant, so do not reject the null hypothesis. 6pts. Form a conclusion written in terms of the original claim. There is not sufficient evidence to show that average in state tuition is more than 9410 6 pts. Ide ntify any Type I or Type II errors. Type 1: Type II: Accept the claim that in state tuition averages 9410 when it in state tuition averages more than 9410

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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Use the attached Excel table to see the average cost of tuition by s (public four year college) and use the cost of tuition per year for in state students.
- ) USE every THI RD state START I NG WITH MT (MONTANA) since they are in order from low to high so we get a good sample of all 50

Do not count (skip) US (United States) or delete that row before you sta

Notice that that US average is different -it is $9650. So our claim is that the average in-state tuition is more than $9410.

You should have 16 states for public four year colleges in-state tuition.

Name of State	Cost of' Tuition (per year for in s1
MT	6410
NV	6910
NC	7200
NY	7710
OK	8030
IA	8270
LA	8900
IN	9200
MD	9370
ME	9690
AL	10040
HI	10670
RI	11410
SC	12190
Ml	12460
PA	13880

Form the hypotheses (null and alternative) and identify the claim

Claim: Average in-state tuition is more than 9410.

Ho:

HO: μ =9410

H_α:

HA: μ>9410

State the distribution and test statistic to be used.

Normal distribution and test statistic

4pts. Find the sample mean to the nearest whole number.

9521

4 pts. Find the sample standard deviation to the nearest who le number.

2151

Find the value of the test statistic. To 3 decimal places

0.206

Compute and interpret the p-value. To 2 decimal places

0.42

Use the previous informat ion to sketch a picture of this situation. CLEARLY, label and sca le the horizonta l ax is and shade the region(s) corresponding to the p-value.

6pts. Make the decision to reject or to not reject the null hypothesis. Explain.

Since P value is > 0.05 it is not significant, so do not reject the null hypothesis.

6pts. Form a conclusion written in terms of the original claim.

There is not sufficient evidence to show that average in state tuition is more than 9410

6 pts. Ide ntify any Type I or Type II errors.

Type 1:

Type II: Accept the claim that in state tuition averages 9410 when it in state tuition averages more than 9410

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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