If a stratified random sample of 200 nursing students is extracted from a gender-stratified population containing 90% women and 10% men, how many men will this sample have?
here as we know that for stratified sampling we draw proportionate data from each strata
therefore expected number of men in the sample =np=200*0.9 =180
If a stratified random sample of 200 nursing students is extracted from a gender-stratified population containing...
You are interested in wage gender differences. You have a random sample of the population. The sample mean hourly wage for men is KSH 22 while it is KSH 19 for women. The standard deviations of these samples are respectively, 6.1 and 7.1. How can you calculate the standard error of the difference in means? A. It is (6.1/number of men in the sample) + (7.1/number of women in the sample) B. It is the square root of (7.1 –...
Random sample of 100 students from a population 46,000. In this survey we have 58 females and 42 males. Is there an equal portion of men and women in the population? Show that the conditions are met for the use of a normal model for a hypothesis test (np is greater than or equal to 10 and n(1-p) greater than or equal to 10, where p is from the null hypothesis.
IU WUmell and 12 men? and b mull from 10 students (6 men, 4 women) if you must have an equal number of each gender or all of the same gender? 47. Selecting Students How many ways can you pick 4 students
(1 point) For each problem, select the best response. (a) A simple random sample of size n is defined to be A. a sample of size n chosen in such a way that every unit in the population has the same chance of being selected. B. a sample of size n chosen in such a way that every set of n units in the population has an equal chance to be the sample actually selected. C. a sample of size...
1 point) For each problem, select the best response. (a) A simple random sample of size n is defined to be A. a sample of size n chosen in such a way that every unit in the population has a known nonzero chance of being selected. B. a sample of size n chosen in such a way that every unit in the population has the same chance of being selected. C. a sample of size n chosen in such a...
A random sample of size 90 is selected from a population of over 2,000 students. The sample is measured on an achievement test and the mean score on the test is 79.5. The difference between the sample mean and the population mean is due to: sampling bias sampling error the sampling fraction sampling stratification Sampling bias is variation caused by random fluctuation. True False
A random sample of n = 200 observations from a binomial population produced x = 190 successes. Find a 90% confidence interval for p. (Round your answers to three decimal places.) _______ to _______ Interpret the interval. 90% of all values will fall within the interval. There is a 10% chance that an individual sample proportion will fall within the interval. There is a 90% chance that an individual sample proportion will fall within the interval. In repeated sampling, 90%...
A random sample of students was asked for the number of semester hours they are taking this semester. The standard deviation was found to be 4.7 semester hours. a) how many students should be included in the sample to be 90% sure that the sample mean is within 1 semester hour of the population mean for all students at this college?
1. A sample of 98 students graduating from NCC is used to collect the following data concerning students graduating from NCC: • Number of semesters of attendance at NCC Zip code of home • Town of residence Commuting time to school . a. [4 pts) Indicate in the table below which of the variables are qualitative or quantitative. For quantitative variables indicate if they are discrete or continuous. Quantitative Quantitative Qualitative Discrete Continuous Number of semesters of attendance at NCC...
Sociologists have conducted much interesting research on gender stereotypes in American society. A curious aspect of stereotypes is that people tend to perceive differences between groups to be greater than they actually are. This suggests, for example, that when asked about the heights of men and women, survey respondents would tend to perceive men to be taller than women. Suppose you wanted to test this notion that individuals perceive a greater height difference between man and women than exists in...