Q1) A high school statistics teacher wants to know if students enjoy his class.
ID: 3271995 • Letter: Q
Question
Q1) A high school statistics teacher wants to know if students enjoy his class. Using a Likert-type scale (1–5), he first determines through his students that his sample mean M = 10 while the population mean = 30. What might be the reason M ? a. Students in his class did not rate him favorably while the general population did rate him favorably. b. On average, the sample mean will equal the population mean but not every time. c. The students were not taking the survey seriously. d. He did not select a random sample of students. Q2)A researcher randomly selects name from a hat from a participant pool made of 8 males and 22 females. He determines that the probability of selecting three male participants is p = .07. What type of sampling method did the researcher use based of the probability?. sampling without replacement. experimental sampling c. sampling without replacement and experimental sampling d. sampling with replacement q3)A researcher randomly selects scores (n = 20) from a positively skewed distribution of a certain population. He then uses these scores to create a sampling distribution of sample means. From this information, what will be the shape of the sample distribution? a.normally distributed b.negatively skewed c.nonmodally distributed d.positively skewed Q4) A principle of a local high school selects a sample of students from the population of high school students. He determined earlier that the shape of the distribution for the population was negatively skewed. If this is true, what can the principle expect the shape of the sampling distribution of sample variances to look like? a.negatively skewed b.normally distributed c.positively skewed d.Asymptotic Q5) A researcher chooses a sample of 32 participants from a normally distributed population however, she finds that she needs more samples to even out the number of people in each group. Therefore she randomly selects 4 more participants. Based on this example, what has happen to the standard error of the mean? a.There is not enough information to answer this question. b.it decreased c.it stayed the same d.it increased
Explanation / Answer
Q1. What might be the reason M ?
Answer: d. He did not select a random sample of students. (Selection of sample is very important,if not taken randomly it may give biased estimate of population)
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