ECOM30001 Lecture Notes - Lecture 5: Tachykinin Receptor 1, Random Variable, Statistical Parameter

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orchidgnu53

27 Jul 2018

School

University of Melbourne

Department

Econometrics

Course

ECOM30001

Professor

Andrew Clark

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Document Summary

Conduct tests using two pieces of information: point estimates (b"s) tell about location, standard errors tell about precision. Expected outcome is the alternative hypothesis because we can"t reject this. Sample information about the null is embodied in the test-statistic. Is a random variable means it has some distribution. Because it"s a function of the point estimates (b"s) which are random variables. Probability distribution of test statistic must be known whenever the null is true. If null is not true, the test statistic will follow some other distribution: based on value of test statistic, decided whether to reject null or not. Whenever we reject or do not reject a hypothesis, there"s a chance we could be making a mistake. Rejection region determined by finding critical values (cid:1872) such that: reject (cid:2868) when (cid:2868) is false, not reject (cid:2868) when (cid:2868) is true. Some possibility that (cid:2868) is true even though it may be unlikely.

Related Questions

1	Which of the following statements about Type I and Type II errors is correct
a	Type I: Reject a true alternative hypothesis. Type II: Do not reject a false alternative.
b	Type I: Reject a true null hypothesis. Type II: Do not reject a false null hypothesis.
c	Type I: Reject a false null hypothesis. Type II: Reject a true null hypothesis.
d	Type I: Do not reject a false null hypothesis. Type II: Reject a true null hypothesis.

2	You are reading a report that contains a hypothesis test you are interested in. The writer of the report writes that the p-value for the test you are interested in is 0.0749, but does not tell you the value of the test statistic. From this information you can:


a	Not reject the hypothesis at a Probability of Type I error = .05, but reject the hypothesis at a Probability of Type I error = 0.10

b	Reject the hypothesis at a Probability of Type I error = .05, and reject at a Probability of Type I error = 0.10

c	Not reject the hypothesis at a Probability of Type I error = 0.05, and not reject at a Probability of Type I error = 0.10

d	Reject the hypothesis at a Probability of Type I error = .05, but not reject at a Probability of Type I error = 0.10


3	The random sample below is obtained to test the following hypothesis about the population mean.
	H?: ? ?	1500
	H?: ? >	1500
	620	1711	366	2528	2678	1661	442	725	1938
	409	330	2480	542	369	2124	549	2074	1665
	1873	873	2143	2061	1177	2509	1264	2397	1523
	1837	1958	1041	1639	2199	2232	387	2270	2136
	1111	1883	2612	2230	1597	1726	694	1990	1354
	2090	909	2128	1608	747	1121	2220	2390	2347
	1041	316	655	632	2064	1901	532	552	846
	2704	1410	2165	1065	937	1452	2539	410	656
	1169	527	809	2364	2350	2210	1459	2391	856
	2711	1985	2382	2289	1927	518	2177	437	1151
	2018	1580	607	2715	2188	1691	1394	2610	1186
	695	2428	2246	858	2036	1681	2449	1578	1971
	1846	1729	2389	1737	1913	1863	2072	2593	2287
	2220	2230	551	458	2626	2731	488	2551	1736
	1373	307	1803	2647	2679	1508	1468	1443	516
	1002	2116	2616	817	2522	460	1879	1999	1837

	The level of significance of the test is ? = 0.05. Compute the relevant test statistic.
	This is a(n) _______ (two-tail, upper-tail, lower-tail) test. The test statistic is TS = _______.
a	Two-tail test		TS =	1.81
	Do not reject H?: ? ? 1500. Conclude that the population mean is not greater than 1500.
b	Upper tail test.		TS =	1.52
	Do not reject H?: ? ? 1500. Conclude that the population mean is not greater than 1500.
c	Upper tail test.		TS =	1.81
	Reject H?: ? ? 1500. Conclude that the population mean is greater than 1500.
d	Lower tail test.		TS =	1.98
	Do not reject H?: ? ? 1500. Conclude that the population mean is no greater than 1500.

4	Consider the following hypothesis test.
	H?: ? ?	30
	H?: ? >	30
	A random sample of n = 15 yielded the following observations
	51	38	26	16	28
	57	20	33	35	23
	21	47	56	54	36
	Use ? =	0.05
	TS = ______	CV = ______	State the decision rule.
a	1.68	1.761	Do not reject H?. Conclude the mean is not greater than 30.
b	1.68	1.64	Reject H?. Conclude the mean is greater than 30.
c	1.847	2.145	Do not reject H?. Conclude the mean is not less than 30.
d	1.847	1.761	Reject H?. Conclude the mean is less than 30.

5	In a recent study, a major fast food restaurant had a mean service time of 165 seconds. The company embarks on a quality improvement effort to reduce the service time and has developed improvements to the service process. The new process will be tested in a sample of stores. The new process will be adopted in all of its stores, if it reduced mean service time by more than 45 seconds compared to the current mean service time. To perform the hypothesis test, the sample of 48 stores yields the following data (seconds).





	90	96	133	108	136	110	119	138
	129	98	101	92	135	124	115	90
	132	125	110	124	126	138	94	130
	108	96	140	135	102	114	109	137
	138	104	108	134	92	107	96	119
	105	111	96	136	126	116	98	131

	Use ? =	0.05
	\|TS\| = ______	\|CV\| = ______
a	1.548	1.678	Do not reject H?. The mean service time is not reduced by more than 45 seconds. Do not adopt the new process.

b	1.871	1.678	Reject H?. The mean service time is reduced by more than 45 seconds. Adopt the new process.

c	1.871	1.640	Do not reject H?. The mean service time is not reduced by more than 45 seconds. Do not adopt the new process.

d	1.548	1.640	Reject H?. The mean service time is reduced by more than 45 seconds. Adopt the new process.

Match the definitions or complete the statements in the first part of the quiz with the appropriate terms found in the second part.

Definitions/Statements

1. _____ refers to marketersâ focus on a product rather than on the needs of the market.

3. The impact of technology on buyer behavior relates to factors such as ____; the use of technology to engage customers and build relationships; customization of products and promotional messages; and better prices and distribution.

4. In the case of situational influences, this relates to the situation in which or the occasion on which the product will be used, e.g., special occasion or everyday use.

5. In the case of situational influences, this relates to the fact if we are in a store, point-of-purchase displays could influence us to buy something. We could also make unplanned purchases because we remembered something from seeing the brand while we are in the store.

6. This discipline on which consumer researchers draw focuses on society and large groups in society such as family and social class.

7. This discipline on which consumer researchers draw focuses on cultures and differences among cultures.

8. These are temporary circumstances that affect consumer purchase decisions.

9. In the case of situational influences, this refers to the fact that the person and the occasion for which we are buying something influence our purchase decisions.

10. According to the simple model of consumer decision making, reference groups, family, social class, culture, and subculture are among the _____ on buyer behavior.

11. According to the simple model of consumer decision making, motivation, personality trait, perception, and attitudes are among the _____ on buyer behavior.

12. According to the simple model of consumer decision making, advertising, buzz agents, customized messages, social media, and word-of-mouth are examples of ____.

13. This discipline on which consumer researchers draw focuses on behavior in small groups and helps consumer researchers to understand issues such as opinion leadership, diffusion of innovations, and communication.

14. In the case of situational influences, ______ are consumer mood states or physiological state (for example, hunger, thirst) that influence consumer decision-making.

15. The selection of one or more segments by a marketer to serve.

16. Developing a distinct image for a brand in the mind of consumers.

17. This is an effort by a marketer to change the existing perception that consumers have of a brand.

19. ___ segmentation involves segmenting based on variables such as urban, rural, suburb, state, cities, counties, and regions.

20. ____ segmentation is based on variables such as consumersâ lifestyles as indicated by their activities, interests, and opinions.

21. This criterion for effective targeting says that marketers should have some way of deciding which consumers fall into which segments.

22. This criterion for effective targeting says that marketers should be able to reach segments with appropriate media and distribution channels.

23. This is the most popular segmentation system combining lifestyles and values of consumers.

24. This household segmentation model is based on a combination of geographic and demographic information and the principle that âBirds of a feather flock together.â

25. ______ is defined as âsending consumers personalized and prompt offers and promotional messages designed to reach the right consumers and deliver to them highly relevant messages at the right time and more accurately than when using conventional segmentation techniques.â

Terms

A. Positioning

B. Accessibility

C. Anthropology

D. Situational influences

E. Consumption situation

F. Task definition

G. Identification

H. Marketing-oriented

I. Targeting

J. Psychographic

K. Marketing myopia

L. PRIZM

M. Interactive and novel communication channels

N. Sociology

O. Demographic

P. Purchase situation

Q. Behavioral targeting

R. Antecedent states

S. Communication sources

T. Geographic

U. Sociocultural influences

V. VALS

W. Psychological influences

X. Social psychology

Y. Repositioning

Match the definitions or complete the statements in the first part of the quiz with the appropriate terms found in the second part.

Definitions/Statements

1. _____ refers to marketersâ focus on a product rather than on the needs of the market.

2. _____ companies do not try to persuade consumers to buy what the firm has already produced, but rather to produce only products that they know they can sell, thereby satisfying consumersâ needs and turning them into loyal customers. 3. The impact of technology on buyer behavior relates to factors such as ____; the use of technology to engage customers and build relationships; customization of products and promotional messages; and better prices and distribution.