3. Continue from the previous question, you are given the following information about y and x.Dependent Variable (y)Independent Variable (x)5142332415The point estimate of y when x = 2 is-4. -10. 10. 4.4. The critical value of t for a two-tailed test with 7 degrees offreedom using α = .05 is 1.943. 2.447. 1.985. 2.365.5. For a two-tailed hypothesis test with a sample size of 20 and a .04 level of significance, the critical values of the test statistic t are -1.729 and 1.729 -2.093 and 2.093 -2.086 and 2.086 -2.205 and 2.2056. Use Excel or the normal distribution table to find the correct answer. For a one-tailed test (lower tail) using α = .0430, z = -1.53 -1.72 -1.62 -1.93

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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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3. Continue from the previous question, you are given the following information about y and x.

Dependent Variable (y)	Independent Variable (x)
5	1
4	2
3	3
2	4
1	5

The point estimate of y when x = 2 is

-4.
	-10.
	10.
	4.

4. The critical value of t for a two-tailed test with 7 degrees of

freedom using α = .05 is

	1.943.
	2.447.
	1.985.
	2.365.

5. For a two-tailed hypothesis test with a sample size of 20 and a .04 level of significance, the critical values of the test statistic t are

	-1.729 and 1.729
	-2.093 and 2.093
	-2.086 and 2.086
	-2.205 and 2.205

6. Use Excel or the normal distribution table to find the correct answer. For a one-tailed test (lower tail) using α = .0430, z =

	-1.53
	-1.72
	-1.62
	-1.93

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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