Statistical Handling Data Coursework on High School Students

So, we should reject the null hypothesis H0. At a 0.05 level of significance level, we conclude that there is a significant difference between the average height for females and the average height for the males.

For my sample, I will be doing a convenience sample. My survey will be open to any age but will mainly focus on young college students. I will reach out to my class at a local university. There are approximately 30 students in the Criminal Justice Basic Statistics and Research course. I plan to have all the 30 students participate in this survey. Once I implement my

At the start of the study, at total of 150 students were identified as potential participants

Null hypothesis. The null hypothesis, denoted by H0, is usually the hypothesis that sample observations result purely from chance. In this case, according to null hypothesis there is no significant difference between business students at Rocky University who were involved in cheating and business students elsewhere.

Probability sampling, also known as random sampling, requires that every member of the study population have an equal opportunity to be chosen as a study subject. For each member of the population to have an equal opportunity to be chosen, the sampling method must select members randomly. Probability sampling allows every facet of the study population to be represented without researcher bias. Four common sampling designs have been developed for selection of a random sample: simple random sampling, stratified random sampling, cluster sampling, and systematic sampling (Burns & Grove,

The null hypothesis was that the female and male shoe sizes have an equal mean while the alternative hypothesis was that female and male shoe sizes do not have an equal mean. With the degrees of freedom being 33, the t-statistic is -8.27. The probability that -8.27 is ≤-1.69 is 7.5×10-10 for the one-tailed test. Also, the probability that -8.27 is ≤ ±2.03. is 1.5×10-9 for the two-tailed test. Due to both probabilities being under the alpha value of 0.05, the null hypothesis is rejected, and the alternative hypothesis is accepted at the 95% confidence level.

In terms of choosing my sampling method, I chose quota sampling. This is because we chose to survey 30 people in total but divide the group into genders; males and females. Therefore; 15 males and 15 females were surveyed. This was an important sampling method to choose because it was quite accurate. It was less biased as we decided to interview both genders, leading to varied results for our market research team. We also chose to have quota sampling, because it was the most efficient sampling method which gave us the most accurate information we set out to find. I feel it was important to have more than one division; that being males and females. This is purely because males and females have much diverse views and opinions and also priorities such as; males being more interested in booking rooms and assessing the online services, where the females would also enjoy the online services, but would show more interest in the facilities available, therefore it was quite key to find out how each gender progressed through the surveys. I feel that quota sampling is much more accurate than other sampling methods such as random sampling. This is because random sampling will leave the researchers with a range of results, which will be harder to compare or formulate decisions

In this case a sample size of 100 would be better. This can be explained using law of averages and also by looking at the formula for Margin of Error.

Then comparing the level of school years completed with the sex, female (N=69360) and male (N=67406), another significant relation was found t (136764) = 6.62 (0.15). The level of school years completed has a relationship with sex (see appendix F). Therefore, we reject the null hypotheses.

It’s also not easy to have an accurate quota frame because of the unavailability on current information. You could divide the population in groups but this means extending sampling requirements and bringing in more groups. This would cost money as well take time when the current method itself takes a lot of time.

These surveys sample about 15,000 students each year spanning across the three grades under consideration. However, not every question is asked of every student. Certain questions are reserved for certain subsamples.

The topic of our project is comparing the commute times from different cities where students live. The reason we choose this topic because we are interested in knowing the average time people need to get to campus from cities where they live. We also think there are many things that have a big influence on the commute time. Our hypothesis is more than 50% Highline students commute from Federal Way and more 25% Highline students commute from Kent by driving and compare the commute time of Highline students commute from Federal Way versus students commute from other cities to see if the average commute time from other cities is shorter than from Federal Way. If our study is true, we can assume that more than half of Highline students commute from Federal Way and a quarter of students commute from Kent. We also want to compare the commute time of students commute from Federal Way versus other cities. However,the result maybe show less than 50% of Highline students travel from Federal Way and less than 25% of Highline students travel

First, I will discuss my sampling method. I choose to get my cards from Menards. I went to Menards because I work there. I choose Menards cards because It was convenient for me. For this research, I got thirty-two cards. To make sure I was representing each group (male and female) equally I got sixteen cards geared toward men and sixteen geared toward women. I choose to do all birthday cards to keep cohesiveness but I broke my male and female categories up in to sub categories. When I say subcategories I mean for the male cards I got eight birthday

To collect a large sample I used volunteer sampling from within Newcastle Sixth Form College. Participant forms were handed out to every tutorial class (equivalent to registration) within the college to make sure that every student is presented with the opportunity to take part in the study. This allowed me to have a population of over 500 students to sample from. Once the volunteers had submitted their interest, I planned to then try to make the sample more representative of the national population. However, this was unfortunately not possible for two reasons. The first is that the sample would consist almost entirely of students aged between 15 and 20. Secondly, the final sample size was too small to try and make it

Our research paper mentions all FSD students in 2009, however we randomly choose 50 (including 25 students coming from group A and 25 is group D) representing as sample size.