Cluster Simple random sample is has a equal probability



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STATISTICS 200 test

78. R is-




79. In a linear regression equation, what does a slope of 2.5 indicate?




80. The rental values (in dollars) of a sample of four available apartments close to the university are

470, 600, 580, 550. The standard deviation of the sample is





















81. There are three children in a room, ages three, four, and five. If a four-year-old child enters the room, the




82. The standard deviation of 16 measurements of people's weights (in pounds) is computed to be 5.4. The variance of these measurements is




83. A set of data has a median that is much larger than the mean. Which of the following statements is most consistent with this information?




84. Suppose each employee in the company receives a $3000 raise for next year (each employee's salary is increased by $3000). The median salary for the employees working for the company will




85. As part of survey of college students a researcher is interested in the variable class standing. She records a 1 if the student is a freshman, a 2 if the student is a sophomore, a 3 if the student is a junior, and a 4 if the student is a senior. The variable class standing is




86. If a distribution is symmetrical, which of the following is true?




87. If a distribution is skewed to the right, which of the following is true?




88. If a distribution is skewed to the left, which of the following is true?




89. The mean salary of all female workers is $35,000. The mean salary of all male workers is $41,000. What must be true about the mean salary of all workers?




90. Which model is not positive ?




91. Which model is not negative ?




92. Which model is not liner ?




93. Which model is simple ?




94. Which correlation is very high?




95. Which correlation is very low?




96. find error in y=-4+6x if there is y=8 and x=3




97. find residual in y=-4+6x if there is y=8 and x=3




98. find residual in y=-5+6x model if there is y=9 and x=3




99. to test normal distribution of data if skewness is 88, which of the following is true?




100. to test normal distribution of data if kurtosis is 88, which of the following is true?




101. find residual in y=-17+9x if there is y=8 and x=3




102. find residual in y=-15+9x if there is y=12 and x=3




103. The augmented Dickey-Fuller unit root test can be used to test for




104. In the acronymn “ARIMA,” what does the “I” stand for?




105. The value of r is always-




106. Values of r close to –1 or to +1 indicate




107. If r = 0 there is absolutely




108. If r = 1, there is




109. If r = –1, there is




110. when X1 increases, X2 tends to increase and when X1 decreases, X2 tends to decrease




111. when X1 increases, X2 tends to decrease and when X1 decreases, X2 tends to increase




112. Which one is the independent variable in following linear equations

y = –0.01 + 1.2x




113. Which one is the dependent variable in following linear equations

y = –0.01 + 1.2x




114. For the linear equation y = a + bx , Which one is slope




115. For the linear equation y = a + bx , Which one is intercept




116. For the linear equation y = a + bx If b > 0




117. For the linear equation y = a + bx If b = 0




118. For the linear equation y = a + bx If b < 0




119. The equation that will be estimated with a sample of data for two independent variables will thus be




120. which one is simple regression




121. which one is multiple regression model




122. The term y0 - ŷ0 = e0 is called the




123. The term y0 - ŷ0 = e0 is called the




124. calculate the variance

2

3



5

4





125. calculate the variance

6

4



7

3





126. calculate the variance

9

8



7

5





127. calculate the variance

10

12



4

5





128. calculate the variance

8

5



2

4





129. calculate the variance

6

4



5

7





130. calculate the variance

5

8



7

4





131. calculate the variance

9

6



3

8





132. calculate the variance

1

5



9

7





133. calculate the variance

7

5



3

1





134. find residual in y=2+10x if there is y=8 and x=3




135. find residual in y=3-9x if there is y=8 and x=3




136. find residual in y=4+8x if there is y=8 and x=3




137.find residual in y=5-7x if there is y=8 and x=3




138. find residual in y=6+6x if there is y=8 and x=3




139. find residual in y=7-4x if there is y=8 and x=3




140. find residual in y=8+5x if there is y=8 and x=3




141. find residual in y=9-4x if there is y=8 and x=3




142. find residual in y=12+3x if there is y=8 and x=3




143. find residual in y=14-2x if there is y=8 and x=3




144. find residual in y=7+10x if there is y=8 and x=3




145. find residual in y=15-9x if there is y=8 and x=3




146. find residual in y=16+8x if there is y=8 and x=3




147. find residual in y=23-7x if there is y=8 and x=3




148. find residual in y=5+6x if there is y=8 and x=3




149. find residual in y=6-4x if there is y=8 and x=3




150. find residual in y=7+5x if there is y=8 and x=3




151. find residual in y=9-8x if there is y=8 and x=3




152. find residual in y=22+3x if there is y=8 and x=3




153. find residual in y=11-2x if there is y=8 and x=3




154. Calculate the mean.

2

3



5

4

11



12

5





155. Calculate the mean.

6

4



7

3

8



5

7





156. Calculate the mean.

9

8



7

5

7



8

10





157. Calculate the mean.

10

12



4

5

12



10

11





158. Calculate the mean.

8

5



2

4

5



4

2





159. Calculate the mean.

6

4



5

7

8



5

7





160. Calculate the mean.

5

8



7

4

8



9

6





161.

9

6



3

8

5



7

22





162. Calculate the mean.

1

5



9

7

4



8

12





163. Calculate the mean. var10

7

5



3

1

5



6

22





164. Determine population in the following study.

A study was conducted at a local college to analyze the average cumulative GPA’s of students who graduated lastyear.






165. Determine statistic in the following study.

A study was conducted at a local college to analyze the average cumulative GPA’s of students who graduated lastyear.






166. Determine parameter in the following study.

A study was conducted at a local college to analyze the average cumulative GPA’s of students who graduated lastyear.






167. Determine sample in the following study.

A study was conducted at a local college to analyze the average cumulative GPA’s of students who graduated lastyear.






168. Determine variable in the following study.

A study was conducted at a local college to analyze the average cumulative GPA’s of students who graduated lastyear.






169. Determine data in the following study.

A study was conducted at a local college to analyze the average cumulative GPA’s of students who graduated lastyear.






170. Determine the population in the following study.

An insurance company would like to determine the proportion of all medical doctors who have been involved in one or more malpractice lawsuits. The company selects 500 doctors at random from a professional directory and determines the number in the sample who have been involved in a malpractice lawsuit.






171. Determine the parameter in the following study.

An insurance company would like to determine the proportion of all medical doctors who have been involved in one or more malpractice lawsuits. The company selects 500 doctors at random from a professional directory and determines the number in the sample who have been involved in a malpractice lawsuit.






172. Determine the sample in the following study.

An insurance company would like to determine the proportion of all medical doctors who have been involved in one or more malpractice lawsuits. The company selects 500 doctors at random from a professional directory and determines the number in the sample who have been involved in a malpractice lawsuit.






173. Determine the statistic in the following study.

An insurance company would like to determine the proportion of all medical doctors who have been involved in one or more malpractice lawsuits. The company selects 500 doctors at random from a professional directory and determines the number in the sample who have been involved in a malpractice lawsuit.






174. Determine the variable X in the following study.

An insurance company would like to determine the proportion of all medical doctors who have been involved in one or more malpractice lawsuits. The company selects 500 doctors at random from a professional directory and determines the number in the sample who have been involved in a malpractice lawsuit.






175. Determine the ata in the following study.

An insurance company would like to determine the proportion of all medical doctors who have been involved in one or more malpractice lawsuits. The company selects 500 doctors at random from a professional directory and determines the number in the sample who have been involved in a malpractice lawsuit.






176. The data are the number of books students carry in their backpacks. You sample five students. Two students carry three books, one student carries four books, one student carries two books, and one student carries one book. The numbers of books (three, four, two, and one) are




177. The data are the weights of backpacks with books in them. You sample the same five students. The weights (in pounds) of their backpacks are 6.2, 7, 6.8, 9.1, 4.3. Notice that backpacks carrying three books can have different weights. Weights are




178. The data are the number of machines in a gym. You sample five gyms. One gym has 12 machines, one gym has 15 machines, one gym has ten machines, one gym has 22 machines, and the other gym has 20 machines. What type of data is this?




179. The data are the areas of lawns in square feet. You sample five houses. The areas of the lawns are 144 sq. feet,

160 sq. feet, 190 sq. feet, 180 sq. feet, and 210 sq. feet. What type of data is this?






180. The data are the colors of backpacks. Again, you sample the same five students. One student has a red backpack, two students have black backpacks, one student has a green backpack, and one student has a gray backpack. The colors red, black, black, green, and gray are




181. The data are the colors of houses. You sample five houses. The colors of the houses are white, yellow, white, red,

and white. What type of data is this?






182. Determine the type of sampling used. A soccer coach selects six players from a group of boys aged eight to ten, seven players from a group of boys aged 11 to 12, and three players from a group of boys aged 13 to 14 to form a recreational soccer team.




183. Determine the type of sampling used. A pollster interviews all human resource personnel in five different high tech companies




184. Determine the type of sampling used. A high school educational researcher interviews 50 high school female teachers and 50 high school male teachers




185. Determine the type of sampling used. A medical researcher interviews every third cancer patient from a list of cancer patients at a local hospital




186. Determine the type of sampling used. A high school counselor uses a computer to generate 50 random numbers and then picks students whose names correspond to the numbers




187. Determine the type of sampling used. A student interviews classmates in his algebra class to determine how many pairs of jeans a student owns, on the average




188. The Smell & Taste Treatment and Research Foundation conducted a study to investigate whether smell can affect learning. Subjects completed mazes multiple times while wearing masks. They completed the pencil and paper mazes three times wearing floral-scented masks, and three times with unscented masks. Participants were assigned at random to wear the floral mask during the first three trials or during the last three trials. For each trial, researchers recorded the time it took to complete the maze and the subject’s impression of the mask’s scent:

positive, negative, or neutral.

Describe the explanatory in this study.





189. The Smell & Taste Treatment and Research Foundation conducted a study to investigate whether smell can affect learning. Subjects completed mazes multiple times while wearing masks. They completed the pencil and paper mazes three times wearing floral-scented masks, and three times with unscented masks. Participants were assigned at random to wear the floral mask during the first three trials or during the last three trials. For each trial, researchers recorded the time it took to complete the maze and the subject’s impression of the mask’s scent:

positive, negative, or neutral.

Describe the response variables in this study.





190. The data are the distances (in kilometers) from a home to local supermarkets. Create a stemplot using the data:

1.1; 1.5; 2.3; 2.5; 2.7; 3.2; 3.3; 3.3; 3.5; 3.8; 4.0; 4.2; 4.5; 4.5; 4.7; 4.8; 5.5; 5.6; 6.5; 6.7; 12.3

Do the data seem to have any concentration of values?





191. The following data show the distances (in miles) from the homes of off-campus statistics students to the college.

Create a stem plot using the data and identify any outliers:

0.5; 0.7; 1.1; 1.2; 1.2; 1.3; 1.3; 1.5; 1.5; 1.7; 1.7; 1.8; 1.9; 2.0; 2.2; 2.5; 2.6; 2.8; 2.8; 2.8; 3.5; 3.8; 4.4; 4.8; 4.9; 5.2;5.5; 5.7; 5.8; 8.0





192. In the particular line graph the x-axis (horizontal axis) consists of




193. In the particular line graph the y-axis (vertical axis) consists of




194. RF = relative frequency is




195. 1; 11.5; 6; 7.2; 4; 8; 9; 10; 6.8; 8.3; 2; 2; 10; 1

Order from smallest to largest:






196. 1; 11.5; 6; 7.2; 4; 8; 9; 10; 6.8; 8.3; 2; 2; 10; 1

Find the second quartile






197. 1; 11.5; 6; 7.2; 4; 8; 9; 10; 6.8; 8.3; 2; 2; 10; 1

Find the first quartile






198. 1; 11.5; 6; 7.2; 4; 8; 9; 10; 6.8; 8.3; 2; 2; 10; 1

Find the third quartile






199. For the following 13 real estate prices, calculate the IQR . Prices are in dollars.

389,950; 230,500; 158,000; 479,000; 639,000; 114,950; 5,500,000; 387,000; 659,000; 529,000; 575,000; 488,800; 1,095,000






200. For the following 13 real estate prices, determine if any prices are potential outliers. Prices are in dollars.

389,950; 230,500; 158,000; 479,000; 639,000; 114,950; 5,500,000; 387,000; 659,000; 529,000; 575,000; 488,800; 1,095,000



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